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Impact Evaluation of Feed the Future Cambodia

Helping Address Rural Vulnerabilities and Ecosystem Stability (HARVEST) Project

Study Documentation -- Baseline Survey Data

(Metadata and Code Book)

April 25, 2017

Metadata ProductionMetadata Producer(s)

Michigan State University (Metadata producer)Cambodia Development Resource Institute (Study implementer)

Production Date April 25, 2017Identification N/A

About the Dataset

Description Helping Address Rural Vulnerabilities and Ecosystem Stability (Cambodia-HARVEST) was a five-year program (2011-2016), supported by the United States Agency for International Development (USAID) under the Global Hunger and Food Security Initiative (GHFSI) and the Global Climate Change (GCC) and Biodiversity earmarks of the United States. The Cambodia HARVEST program set strategic goals to improve food security, strengthen natural resource management and resilience to climate change, and increase the capacity of the public and private sectors and civil society to support agricultural competitiveness. Implemented in four targeted provinces of Cambodia -- Kampong Thom, Siem Reap, Pursat, and Battambang -- HARVEST project focuses of program activities are sub-divided into five major components: Agribusiness Value Chains demonstrates innovative technologies and solutions that will increase farmer productivity and incomes to improve food security and reduce poverty; initiatives in Aquaculture and Fisheries advance fish-raising practices to improve productivity, augment protein consumption, and diversify incomes from sales of surplus fish and processed fish products; Natural Resource Management, Biodiversity, and Climate Change services promote community-based management of forests and protected areas through woodlots, tree nurseries, agroforestry, and non-timber forest product production, while working to strengthen climate change mitigation through education, training and technological advancements. Social Inclusion, Business Development Services, and Capacity Development activities promote improved livelihoods, nutrition, and food security among marginalized groups and build the business skills and knowledge of Cambodians. The Policy and Enabling Environment component worked with local partners and government to initiate policy reforms and eliminate obstacles to development. The progress and achievements of the Cambodia HARVEST program are evaluated through the monitoring and impact evaluation study, which sets indicators to measure the performance of Cambodia HARVEST in producing outputs and achieving goals. The baseline survey is the first stage of data collection that was done for an impact evaluation study. The dataset generated by the baseline survey is used to describe the initial conditions before intervention and to test the effects of program interventions on selected outcomes.

Sampling Cambodia-HARVEST impact evaluation used the cluster sampling approach, with households as the basic sampling unit. The sample size was designed to provide robust, accurate and precise results that minimize the burden of sampling error rate and statistically represent the study samples. In the most conservative approach, sample size is estimated based on a 95 percent confidence level (5 percent error) with a power of 80 percent, which means there is at least 80 percent chance of detecting changes/effects in the study samples with a 95percent confidence level. Cambodia HARVEST program coverage was 15,000 households in 150 villages across 17 districts of four provinces. Based on the power calculation and available resources, 60 village clusters were selected for the treatment group and 24 (six per province) for the control group with 25 observations per cluster, giving a sample of 1500 Cambodia HARVEST beneficiary households (treatment group) and 600 Cambodia HARVEST non-beneficiary households (comparison group). The list of

treatment and control villages were provided by HARVEST project team. Data were collected from a total impact evaluation sample of 2100 households in the baseline survey. The households within the treatment villages were selected randomly from the list of beneficiary households selected by HARVEST to receive home garden, rice, and aquaculture value chain interventions.

Method The survey was conducted by interviewing the main decision maker in the household and women (who were either head of the household or spouse of the head). The interview was based on a structured questionnaire, which was translated into Khmer. The questionnaire collected information on household, farm, and individual characteristics that would potentially be influenced by Cambodia-HARVEST. Specifically, the survey collected information about household characteristics, farm characteristics related to rice, vegetable, fish production, and farmers’ perception and opinion of the program, their participation, and the adoption status of various agricultural technologies prompted by Cambodia- HARVEST, women empowerment, anthropometrics and food consumption data for women 15-49 years age and children less than 5 years old. Cambodia Development Resource Institute (CDRI) conducted the survey with technical support and supervision by Michigan State University.

Table of ContentsOverview.............................................................................................................................................................4Scope & Coverage ..............................................................................................................................................4Producers & Sponsors .........................................................................................................................................4Data Collection ....................................................................................................................................................4Data Processing & Appraisal ..............................................................................................................................4Accessibility........................................................................................................................................................5Files Description .................................................................................................................................................6

harvest_module_ab_2012................................................................................................................6harvest_module_c_2012..................................................................................................................6harvest_module_d_2012.................................................................................................................6harvest_module_e1_2012................................................................................................................6harvest_module_e2_2012................................................................................................................6harvest_module_e3_2012................................................................................................................6harvest_module_e4_2012................................................................................................................7harvest_module_e5_2012................................................................................................................7harvest_module_e6_2012................................................................................................................7harvest_module_e7_2012................................................................................................................7harvest_module_e8_2012................................................................................................................7harvest_module_f_2012..................................................................................................................7harvest_module_g1_1_2012...........................................................................................................7harvest_module_g1_2_2012...........................................................................................................8harvest_module_g1_3a_2012..........................................................................................................8harvest_module_g1_3b_2012.........................................................................................................8harvest_module_g1_4_2012...........................................................................................................8harvest_module_g1_5_2012...........................................................................................................8harvest_module_g1_5_continue_2012............................................................................................8harvest_module_g1_6_2012...........................................................................................................9harvest_module_g2_1_2012...........................................................................................................9harvest_module_g2_2_2012...........................................................................................................9harvest_module_g2_3a_2012..........................................................................................................9harvest_module_g2_3b_2012.........................................................................................................9harvest_module_g2_4_2012...........................................................................................................9harvest_module_g2_5_2012...........................................................................................................9harvest_module_g2_5 continue_2012........................................................................................10harvest_module_g2_6_2012.........................................................................................................10harvest_module_h_2012...............................................................................................................10harvest_module_i_2012................................................................................................................10harvest_module_j1_2012..............................................................................................................10harvest_module_j2a_2012.............................................................................................................10harvest_module_j2b_2012............................................................................................................11harvest_module_j2c_2012.............................................................................................................11harvest_module_j3a_2012.............................................................................................................11harvest_module_j3b_2012............................................................................................................11harvest_module_j4_2012..............................................................................................................11harvest_module_k1ab_2012..........................................................................................................11harvest_module_k2_2012.............................................................................................................11harvest_module_k3_2012.............................................................................................................12harvest_module_l1_2012..............................................................................................................12harvest_module_l2_2012..............................................................................................................12harvest_module_l3_2012..............................................................................................................12

Variables List ....................................................................................................................................................13harvest_module_ab_2012..............................................................................................................13harvest_module_c_2012................................................................................................................14

harvest_module_d_2012...............................................................................................................14harvest_module_e1_2012..............................................................................................................15harvest_module_e2_2012..............................................................................................................15harvest_module_e3_2012..............................................................................................................15harvest_module_e4_2012..............................................................................................................15harvest_module_e5_2012..............................................................................................................16harvest_module_e6_2012..............................................................................................................16harvest_module_e7_2012..............................................................................................................16harvest_module_e8_2012..............................................................................................................17harvest_module_f_2012................................................................................................................17harvest_module_g1_1_2012.........................................................................................................18harvest_module_g1_2_2012.........................................................................................................18harvest_module_g1_3a_2012........................................................................................................18harvest_module_g1_3b_2012.......................................................................................................19harvest_module_g1_4_2012.........................................................................................................19harvest_module_g1_5_2012.........................................................................................................19harvest_module_g1_5_continue_2012..........................................................................................20harvest_module_g1_6_2012.........................................................................................................20harvest_module_g2_1_2012.........................................................................................................26harvest_module_g2_2_2012.........................................................................................................27harvest_module_g2_3a_2012........................................................................................................27harvest_module_g2_3b_2012.......................................................................................................27harvest_module_g2_4_2012.........................................................................................................28harvest_module_g2_5_2012.........................................................................................................28harvest_module_g2_5 continue_2012........................................................................................28harvest_module_g2_6_2012.........................................................................................................29harvest_module_h_2012...............................................................................................................35harvest_module_i_2012................................................................................................................36harvest_module_j1_2012..............................................................................................................39harvest_module_j2a_2012.............................................................................................................40harvest_module_j2b_2012............................................................................................................41harvest_module_j2c_2012.............................................................................................................42harvest_module_j3a_2012.............................................................................................................43harvest_module_j3b_2012............................................................................................................44harvest_module_j4_2012..............................................................................................................44harvest_module_k1ab_2012..........................................................................................................44harvest_module_k2_2012.............................................................................................................45harvest_module_k3_2012.............................................................................................................45harvest_module_l1_2012..............................................................................................................45harvest_module_l2_2012..............................................................................................................46harvest_module_l3_2012..............................................................................................................46

Variables Description ........................................................................................................................................48harvest_module_ab_2012..............................................................................................................49harvest_module_c_2012................................................................................................................57harvest_module_d_2012...............................................................................................................60harvest_module_e1_2012..............................................................................................................63harvest_module_e2_2012..............................................................................................................66harvest_module_e3_2012..............................................................................................................67harvest_module_e4_2012..............................................................................................................68harvest_module_e5_2012..............................................................................................................69harvest_module_e6_2012..............................................................................................................70harvest_module_e7_2012..............................................................................................................76harvest_module_e8_2012............................................................................................................102harvest_module_f_2012..............................................................................................................104harvest_module_g1_1_2012.......................................................................................................106harvest_module_g1_2_2012.......................................................................................................108

harvest_module_g1_3a_2012......................................................................................................110

harvest_module_g1_3b_2012.....................................................................................................114harvest_module_g1_4_2012.......................................................................................................116harvest_module_g1_5_2012.......................................................................................................118harvest_module_g1_5_continue_2012........................................................................................120harvest_module_g1_6_2012.......................................................................................................122harvest_module_g2_1_2012.......................................................................................................176harvest_module_g2_2_2012.......................................................................................................178harvest_module_g2_3a_2012......................................................................................................180harvest_module_g2_3b_2012.....................................................................................................184harvest_module_g2_4_2012.......................................................................................................186harvest_module_g2_5_2012.......................................................................................................188harvest_module_g2_5 continue_2012......................................................................................190harvest_module_g2_6_2012.......................................................................................................192harvest_module_h_2012.............................................................................................................246harvest_module_i_2012..............................................................................................................252harvest_module_j1_2012............................................................................................................263harvest_module_j2a_2012...........................................................................................................267harvest_module_j2b_2012..........................................................................................................272harvest_module_j2c_2012...........................................................................................................278harvest_module_j3a_2012...........................................................................................................281harvest_module_j3b_2012..........................................................................................................283harvest_module_j4_2012............................................................................................................284harvest_module_k1ab_2012........................................................................................................288harvest_module_k2_2012...........................................................................................................289harvest_module_k3_2012...........................................................................................................294harvest_module_l1_2012............................................................................................................295harvest_module_l2_2012............................................................................................................298harvest_module_l3_2012............................................................................................................301

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Helping Address Rural Vulnerabilities and Ecosystem Stability (HARVEST) Project in Cambodia – Baseline Survey Data

OverviewType Edited, anonymous dataset for public distributionIdentification N/AVersion v01Kind of Data Sample survey data [ssd]Unit of Analysis Households and individual (Women 15-49 years, Children less than 5 years old)Language Survey was implemented in KhmerQuestionnaires Available in both English and Khmer versions

Scope & CoverageTime Period(s) 2012Country CambodiaProvince coverage: Rural areas in four Provinces – Kampong Thom, Siem Reap, Pursat, and Battambang

Producers & SponsorsPrimary Investigator(s) Vuthy, T., Socheat, K., Pirom, K., Chhun, C., and Dary, P. (Cambodia Development

Research Institute) in collaboration with Rui Benfica, Murari Suvedi, and Mywish Maredia (Michigan State University)

Funding Agency/ies U.S. Agency for International Development (USAID)

Data CollectionData Collection Dates August 22 – October 3, 2012Data collection notes: The training for the survey took place from August 13, 2012- August 19, 2012. The pre-

test took place on August 14, 2012 and August 19, 2012.Data collectors: Theng Vuthy, Keo Socheat, Khiev Pirom, Chhim Chhun, and Phon Dary (CDRI)

Data Processing and AppraisalData Editing CDRI (Data collection firm): Office editing, completeness checking

Data Entry conducted by 20 data entry clerks is CsPro and converted to STATA 14.0 for data cleanning and analysisMSU: Completeness checking, secondary editing

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AccessibilityAccess Conditions Data has been anonymized and ready for public use.

Citation RequirementsUse of the dataset must be acknowledged using a citation which would include:- the Identification of the Primary Investigator- the title of the survey (including country, acronym and year of implementation)- the source and date of download

Citation of Published Report:Vuthy, T., Socheat, K., Pirom, K., Chhun, C., and Dary, P. (2013). Helping Address Rural Vulnerabilities and Ecosystem Stability (Cambodia-HARVEST) Program Baseline Survey: Final Report. Phnom Penh, Cambodia: CDRI.

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USAID Cambodia-HARVEST Program- BASELINE SURVEY DATA - Files Description

Files DescriptionDataset contains 43 file(s)

harvest_module_ab_2012# Cases 2100

# Variable(s) 22

File Structure Type: relationalKey(s): a01 (A01 Household id)

harvest_module_c_2012# Cases 11072

# Variable(s) 11

File Structure Type: relationalKey(s): a01 (a01 household id)

harvest_module_d_2012# Cases 2100

# Variable(s) 10


harvest_module_e1_2012# Cases 136500

# Variable(s) 6



# Variable(s) 4



# Variable(s) 4


- 7 -



# Variable(s) 4



# Variable(s) 4



# Variable(s) 8



# Variable(s) 5



# Variable(s) 5


harvest_module_f_2012# Cases 2100

# Variable(s) 7


harvest_module_g1_1_2012# Cases 2098

# Variable(s) 6


- 8 -



# Variable(s) 5


harvest_module_g1_3a_2012# Cases 29400

# Variable(s) 9


harvest_module_g1_3b_2012# Cases 10500

# Variable(s) 5

File Structure Type: relationalKey(s): a01 (a01 Household ID)


# Variable(s) 6



# Variable(s) 4


harvest_module_g1_5_continue_2012# Cases 10500

# Variable(s) 5


- 9 -



# Variable(s) 98



# Variable(s) 6

File Structure Type: relationalKey(s): a01 (a01 household id) , g2_1_02 (respondent's ID from Mudule C)


# Variable(s) 5


harvest_module_g2_3a_2012# Cases 29400

# Variable(s) 9


harvest_module_g2_3b_2012# Cases 10500

# Variable(s) 5



# Variable(s) 6



# Variable(s) 4


-


harvest_module_g2_5 continue_2012# Cases 10500

# Variable(s) 6



# Variable(s) 98


harvest_module_h_2012# Cases 3023

# Variable(s) 26


harvest_module_i_2012# Cases 1168

# Variable(s) 48


harvest_module_j1_2012# Cases 8419

# Variable(s) 19


harvest_module_j2a_2012# Cases 5666

# Variable(s) 34

File Structure Type: relationalKey(s): a01 (household id)

-


harvest_module_j2b_2012# Cases 723

# Variable(s) 34

File Structure Type: relationalKey(s): a01 (household id)

harvest_module_j2c_2012# Cases 6300

# Variable(s) 11


harvest_module_j3a_2012# Cases 52500

# Variable(s) 11


harvest_module_j3b_2012# Cases 25200

# Variable(s) 5


harvest_module_j4_2012# Cases 4954

# Variable(s) 7


harvest_module_k1ab_2012# Cases 2086

# Variable(s) 3


harvest_module_k2_2012# Cases 255

# Variable(s) 6


-


harvest_module_k3_2012# Cases 1120

# Variable(s) 5


harvest_module_l1_2012# Cases 33600

# Variable(s) 11



# Variable(s) 11



# Variable(s) 11


-

USAID Cambodia-HARVEST Program- BASELINE SURVEY DATA - Variables List

Variables ListDataset contains 609 variable(s)

File harvest_module_ab_2012# Name Label Type Format Valid Invalid Question

1 a01 A01 Household id continuous numeric-12.0 2100 0 -

2 a02 A02 Village Group discrete numeric-47.0 2100 0 -

3 a03 A03 Village code continuous numeric-18.0 2100 0 -

4 a04 a04.1 Commune name discrete numeric-16.0 2100 0 -

5 a05 a05.1 District name discrete numeric-17.0 2100 0 -

6 a06 a06.1 province name discrete numeric-12.0 2100 0 -

7 a08 A08 Type of Technical Assistance from HARVEST

discrete numeric-32.0 2100 0 -

8 a09 A09 Type of household discrete numeric-96.0 2100 0 -

9 a10 a10 Primary Respondent ID (from Module C)


10 a11 a11 Secondary Respondent ID (from Module C)


11 a13 A13 Date of first visit (dd/ mm/yyyy)

discrete character-10 2100 0 -

12 a14 A14 Date of second visit (dd/ mm/yyyy)


13 a15 A15 Date of third visit (dd/ mm/yyyy)


14 a16 A16 Final outcome of interview (enter code)


15 a19 A19 Date of data entry(dd/ mm/yyyy)


16 b01 B01 Do you agree to be interviewed


17 b02_01 b02_01 did your household participate in HARVEST Project? month


18 b02_02 b02_02 did your household participate in HARVEST Project? year


19 group Type: Treatment / Control Group


20 group1 New control_treatment: with contamination1


21 trt_1 New treatment variable- excludes dropouts


22 trt_2 New treatment variable- includes dropouts


-


10 c10

11 c11

File harvest_module_d_2012# Name Label Type Format Valid Invalid Question

1 a01 a01 household id continuous numeric-12.0 2100 0 -

2 d01 d01 What is the main discrete numeric-10.0 2100 0 -construction material of yourdwelling’s roof?

3 d02 d02 What is the main discrete numeric-10.0 2100 0 -construction material of yourdwelling’s floor

4 d03 d03 What is the main construction material of your dwelling’s exterior walls


5 d04 d04 How many roomsare there in this dwelling? (Do not count bathrooms, hallways


6 d05 d05 What is the main type of toilet your household uses?


7 d06 d06 What is the main source discrete numeric-10.0 2100 0 -of drinking water for yourhousehold?

8 d07 d07 What is the main lighting discrete numeric-10.0 2100 0 -source for your household?

9 d08 d08 What is the main source of cooking fuel for your household?


File harvest_module_c_2012# Name Label Type Format Valid Invalid Question


2 c01 c01 items discrete numeric-10.0 11072 0 -

3 c03 c03 What is [NAME’s] discrete numeric-10.0 11072 0 -relationship to householdhead?

4 c04 c04 What is [NAME’s] sex? discrete numeric-10.0 11072 0 -

5 c05 c05 What is [NAME’s] age? Continuous(Converted to discrete in 5 year intervals)

numeric-10.0 11072 0 -

6 c06 c06 Can [NAME] read and discrete numeric-10.0 10448 624 -write?

7 c07 c07 Has [NAME] ever attended school?


8 c08 c08 What is the highest grade of education completed


9 c09 c09 Is [NAME] currently attending school?


c10 Has [NAME] attended discrete numeric-10.0 8581 2491 -school last year?

c11 If [NAME] attended discrete numeric-10.0 136 10936 -

-


File harvest_module_d_2012# Name Label Type Format Valid Invalid Question

10 d10 d10 What is the main destination of household waste for this household?


File harvest_module_e1_2012# Name Label Type Format Valid Invalid Question


2 e1_01 e1_01 items discrete numeric-28.0 136500 0 -

3 e1_02 e1_02 Over the past one week (7 days), did you or others in your household consu


4 e1_03 e1_03 Purchased in cash (riels)

continuous numeric-10.2 43434 93066 -

5 e1_04 e1_04 Owned product ( riels) continuous numeric-10.2 43434 93066 -

6 e1_05 e1_05 Gifts, Free collections, (Imputed value) (riels)





3 e2_02

e2_03

e2_02 Over the past one week (7 days), did your household use or buy any [...]?

discrete numeric-9.0 14700

7327

0

7373

-

-4 e2_03 How much did you pay (how much did they cost) in total? (0000 Riels)

continuous numeric-10.2




3 e3_02 e3_02 Did you purchase [….] over the past one month?


4 e3_03 e3_03 How much did you pay (how much did they cost) in total? (0000 Riels)





-



3 e4_02 e4_02 Over the past three months, did your household use or buy any [...]?







3 e5_02 e5_02 Over the past one year discrete numeric-9.0 33600 0 -(twelve months), did yourhousehold use or buy any



7 e6_05a

8 e6_05b





2 e6_01 e6_01 Do you own or are purchasing this house, is it provided to you by an emplo


3 e6_02 e6_02 If you sold this dwelling today, how much would you receive for it? (no la


4 e6_03 e6_03 How many years ago discrete numeric-10.2 2052 69 -was this house built? (Years)

5 e6_04a e6_04a If you rented this continuous numeric-10.2 2063 58 -dwelling today, how muchrent would you receive?(‘000

6 e6_04b e6_04b If you rented this dwelling today, how much rent would you receive? (Unit


e6_05a How much do you continuous numeric-10.2 2065 56 -pay to rent this dwelling?(0000 riel)

e6_05b How much do you discrete numeric-10.2 2121 0 -pay to rent this dwelling?(unit)

-




3 e7_03 e7_03 Total number discrete numeric-10.2 60900 0 -

4 e7_04 e7_04 What was the purchase discrete numeric-11.2 15880 45020 -value (or the imputed value)of all these. [ITEM]]s?

5 e7_05 e7_05 According to current prices, what do you think you could get if you sold.[




2 e801 e8_01 items discrete numeric-58.0 29400 0 -

3 e802 e8_02 Did anyone in the household receive cash or in- kind income from any of the


4 e803 e8_03 If yes, how many household members received income from sources?


5 e804 e8_04 What is the estimated total income from the past 12 months? ('0000 Riel)


File harvest_module_f_2012# Name Label Type Format Valid Invalid Question


2 f01 f01 In the past [4 weeks/30 days] was there ever no food to eat of any kind in y


3 f02 f02 How often did this happen in the past [4 weeks/30 days]?


4 f03 f03 In the past [4 weeks/30 days] did you or any household member go to sleep at




6 f05 f05 In the past [4 weeks/30 days] did you or any household member go a whole da




-


File harvest_module_g1_1_2012# Name Label Type Format Valid Invalid Question

1 a01 a01 household id discrete character-10 2098 0 -

2 g1_1_02 respondent's ID from Mudule C


3 g1_1_03 g1_1_03 Sex of respondent discrete numeric-10.0 2098 0 -

4 g1_1_04 g1_1_04 Type of household discrete numeric-10.0 2098 0 -

5 g1_1_05 g1_1_05 Outcome of interview


6 g1_1_06 g1_1_06 Ability to be interviewed alone


File#

harvest_module_g1_2_2012Name Label Type Format Valid Invalid Question


2 g1_2_01 g1_2_01 items discrete numeric-89.0 12600 0 -

3 g1_2_02 g1_2_02 Did you (singular) discrete numeric-11.0 12588 12 -participate in [ACTIVITY] inthe past 12 months (that

4 g1_2_03 g1_2_03 How much discrete numeric-29.0 7802 4798 -input did you have inmaking decisions about[ACTIVITY]?

5 g1_2_04 g1_2_04 How much input did you have in decisions on the use of income generated


File harvest_module_g1_3a_2012# Name Label Type Format Valid Invalid Question


2 g1_3a_00 g1_3a_00 items discrete numeric-86.0 29400 0 -

3 g1_3a_01a g1_3a_01a Does anyone in your household currently have any [ITEM]?


4 g1_3a_01b g1_3a_01b How many of [ITEM] does your household currently have?


5 g1_3a_02 g1_3a_02 Who would you say owns most of the [ITEM]?


6 g1_3a_03 g1_3a_03 Who would you say can decide whether to sell [ITEM] most of the time?


7 g1_3a_04 g1_3a_04 Who would you say can decide whether to give away [ITEM] most of the ti


8 g1_3a_05 g1_3a_05 Who would you say can decide to mortgage


-



or share or rent out [ITEM]m

9 g1_3a_06 g1_3a_06 Who contributes most to decisions regarding a new purchase of [ITEM]?


4 g1_3b_02

5 g1_3b_03




3 g1_4_01 g1_4_01 Is there a [GROUP] in your community?


4 g1_4_02 g1_4_02 Are you an active discrete numeric-10.0 7843 15257 -member of this [GROUP]?

5 g1_4_03 g1_4_03 How much input do discrete numeric-29.0 4881 18219 -you have in making decisionsin this [GROUP]?

6 g1_4_04 g1_4_04 Why are you not a member of this [GROUP]?





3 g1_5_01 g1_5_01 When decisions are discrete numeric-55.0 16784 16 -made regarding the followingaspects of household li

4 g1_5_02 g1_5_02 To what extent do you feel you can make your own personal decisions reg


File harvest_module_g1_3b_2012# Name Label Type Format Valid Invalid Question

1 a01 a01 Household ID discrete character-10 10500 0 -

2 g1_3b_00 g1_3b_00 items discrete numeric-56.0 10500 0 -

3 g1_3b_01 g1_3b_01 Has anyone in your household taken any loans or borrowed cash/in- kind f


g1_3b_02 Who made the discrete numeric-50.0 1997 8503 -decision to borrow from[SOURCE]?

g1_3b_03 Who makes the discrete numeric-50.0 1997 8503 -decision about what to dowith the money/ item borrowfro

-


File harvest_module_g1_5_continue_2012# Name Label Type Format Valid Invalid Question



3 g1_5_04 g1_5_04 My actions in discrete numeric-55.0 10490 10 -[ASPECT] are partly becauseI will get in trouble with som

4 g1_5_05 g1_5_05 Regarding [ASPECT] I do what I do so others don’t think poorly of me


5 g1_5_06 g1_5_06 Regarding [ASPECT] I do what I do because I personally think it is the r




2 g1_6_04h .. g1_6_04h00_1 Time allocation from04:00h-04:29h_Primary activity


3 g1_6_04h .. g1_6_04h30_1 Time allocation from04h-04:29h_Primary activity


















-





13 g1_6_09h ..

g1_6_10h ..

g1_6_09h30_1 Time allocation from09h-09:29h_Primary activity


2098

2

2

-

-14 g1_6_10h00_1 Time allocation from10:30h-10:59h_Primary activity

discrete numeric-10.0



16 g1_6_11h ..

g1_6_11h ..

g1_6_11h00_1 Time allocation from11:30h-11:59h_Primary activity


2098

2

2

-

-17 g1_6_11h30_1 Time allocation from11h-11:29h_Primary activity




19 g1_6_12h ..

20 g1_6_13h ..


g1_6_13h00_1 Time allocation from13:30h-

discrete

discrete

numeric-10.0 2098

numeric-10.0 2098

2

2

-

-







24 g1_6_15h ..

25 g1_6_15h ..

g1_6_15h00_1 Time allocation from 15:30h-5:59h_Primary activity

g1_6_15h30_1 Time allocation from

discrete

discrete

numeric-10.0 2098

numeric-10.0 2098

2

2

-

-



-





28 g1_6_17h ..

29 g1_6_17h ..


g1_6_17h30_1 Time allocation

discrete

discrete

numeric-10.0 2098

numeric-10.0 2098

2

2

-

-









34 g1_6_20h ..

g1_6_20h ..



2098

2

2

-





37 g1_6_21h ..

38 g1_6_22h ..



discrete

discrete

numeric-10.0 2098

numeric-10.0 2098

2

2

-

-







42 g1_6_24h .. g1_6_24h00_1 Time allocation from


-



24:30h-24:59h_Primaryactivity







46 g1_6_02h ..

47 g1_6_02h ..



discrete

discrete

numeric-10.0 2098

numeric-10.0 2098

2

2

-

-





50 g1_6_04h ..

g1_6_04h ..

g1_6_04h00_2 Time allocation from04:00h-04:29h_Second activity


28

2083

2072

-

-51 g1_6_04h30_2 Time allocation from04h-04:29h_Second activity


52 g1_6_05h .. g1_6_05h00_2 Time allocation from05:30h-05:59h_Second activity


53 g1_6_05h ..

54 g1_6_06h ..

g1_6_05h30_2 Time allocation from05h-05:29h_Second activity


discrete

discrete

numeric-10.0 46

numeric-10.0 49

2054

2051

-

-

55 g1_6_06h .. g1_6_06h30_2 Time allocation from06h-06:29h_Second activity




-





58 g1_6_08h ..

59 g1_6_08h ..



discrete

discrete

numeric-10.0 35

numeric-10.0 26

2065

2074

-

-









64 g1_6_11h ..

g1_6_11h ..



39

2047

2061

-





67 g1_6_12h ..

68 g1_6_13h ..



discrete

discrete

numeric-10.0 37

numeric-10.0 25

2063

2075

-

-









-


86 g1_6_22h ..

87 g1_6_22h ..


15:30h-5:59h_Secondactivity





75 g1_6_16h ..

g1_6_17h ..



78

2055

2022

-

-76 g1_6_17h00_2 Time allocation from17:30h-17:59h_Second activity




78 g1_6_18h ..

g1_6_18h ..



53

2029

2047

-





81 g1_6_19h ..

82 g1_6_20h ..



discrete

discrete

numeric-10.0 69

numeric-10.0 55

2031

2045

-

-









discrete

discrete

numeric-10.0 5

numeric-10.0 3

2095

2097

-

-

-





89 g1_6_23h ..

g1_6_24h ..



1

2098

2099

-





92 g1_6_01h ..

g1_6_01h ..



1

2100

2099

-









97 g1_6_03h ..

g1_6_02



2098

2097

2

-

-98 g1_6_02 How satisfied are you with your available time for leisure activities li




2 g2_1_02 respondent's ID from Mudule discrete numeric-10.0 2003 0 -C

3 g2_1_03 g2_1_03 Sex of respondent discrete numeric-10.0 2003 0 -

4 g2_1_04 g2_1_04 Type of household discrete numeric-10.0 2003 0 -

5 g2_1_05 g2_1_05 Outcome of interview


-



6 g2_1_06 g2_1_06 Ability to be interviewed alone


File#




3 g2_2_02 g2_2_02 Did you (singular) participate in [ACTIVITY] in the past 12 months (that


4 g2_2_03 g2_2_03 How much input did you have in making decisions about [ACTIVITY]?


5 g2_2_04 g2_2_04 How much input did you have in decisions on the use of income generated




2 g2_3a_00 g2_3a_00 items discrete numeric-86.0 29400 0 -

3 g2_3a_01a g2_3a_01a Does anyone in your household currently have any [ITEM]?


4 g2_3a_01b g2_3a_01b How many of [ITEM] does your household currently have?


5 g2_3a_02 g2_3a_02 Who would discrete numeric-50.0 15611 13789 -you say owns most of the[ITEM]?

6 g2_3a_03 g2_3a_03 Who would you discrete numeric-50.0 7436 21964 -say can decide whether tosell [ITEM] most of thetime?

7 g2_3a_04 g2_3a_04 Who would you discrete numeric-50.0 7436 21964 -say can decide whether togive away [ITEM] most ofthe ti

8 g2_3a_05 g2_3a_05 Who would you discrete numeric-50.0 7436 21964 -say can decide to mortgageor share or rent out [ITEM]m

9 g2_3a_06 g2_3a_06 Who contributes most to decisions regarding a new purchase of [ITEM]?


File#

harvest_module_g2_3b_2012Name Label Type Format Valid Invalid Question

-


File harvest_module_g2_3b_2012# Name Label Type Format Valid Invalid Question



3 g2_3b_01 g2_3b_01 Has anyone in discrete numeric-21.0 8580 1920 -your household taken anyloans or borrowed cash/in-kind f

4 g2_3b_02 g2_3b_02 Who made the decision to borrow from [SOURCE]?


5 g2_3b_03 g2_3b_03 Who makes the decision about what to do with the money/ item borrow fro





3 g2_4_01 g2_4_01 Is there a [GROUP] in your community?


4 g2_4_02 g2_4_02 Are you an active discrete numeric-10.0 6315 16785 -member of this [GROUP]?

5 g2_4_03 g2_4_03 How much input do discrete numeric-29.0 3871 19229 -you have in making decisionsin this [GROUP]?

6 g2_4_04 g2_4_04 Why are you not a member of this [GROUP]?





3 g2_5_01 g2_5_01 When decisions are made regarding the following aspects of household lif


4 g2_5_02 g2_5_02 To what extent do you feel you can make your own personal decisions rega


File harvest_module_g2_5 continue_2012# Name Label Type Format Valid Invalid Question



3 g2_5_04 g2_5_04 My actions in [ASPECT] are partly because I will get in trouble with som


-


File harvest_module_g2_5 continue_2012# Name Label Type Format Valid Invalid Question

4 g2_5_05 g2_5_05 Regarding [ASPECT] I do what I do so others don’t think poorly of me


5 g2_5_06 g2_5_06 Regarding [ASPECT] I do what I do because I personally think it is the r


6 hh_weight Weight at HH level continuous numeric-9.0 10500 0 -

File#



2 g2_6_04h ..

g2_6_04h ..



1716

384

384

-





5 g2_6_05h ..

6 g2_6_06h ..



discrete

discrete

numeric-10.0 1716

numeric-10.0 1716

384

384

-

-







10 g2_6_08h ..

11 g2_6_08h ..



discrete

discrete

numeric-10.0 1716

numeric-10.0 1716

384

384

-

-



-





14 g2_6_10h ..

15 g2_6_10h ..



discrete

discrete

numeric-10.0 1716

numeric-10.0 1716

384

384

-

-









20 g2_6_13h ..

g2_6_13h ..



1716

384

384

-





23 g2_6_14h ..

24 g2_6_15h ..


g2_6_15h00_1 Time allocation from 15:30h-5:59h_Primary

discrete

discrete

numeric-10.0 1716

numeric-10.0 1716

384

384

-

-









-


42 g2_6_24h ..

43 g2_6_24h ..


17:30h-17:59h_Primaryactivity





31 g2_6_18h ..

g2_6_19h ..



1716

384

384

-

-32 g2_6_19h00_1 Time allocation from19:30h-19:59h_Primary activity




34 g2_6_20h ..

g2_6_20h ..



1716

384

384

-





37 g2_6_21h ..

38 g2_6_22h ..



discrete

discrete

numeric-10.0 1716

numeric-10.0 1716

384

384

-

-









discrete

discrete

numeric-10.0 1716

numeric-10.0 1716

384

384

-

-

-







46 g2_6_02h ..

47 g2_6_02h ..



discrete

discrete

numeric-10.0 1716

numeric-10.0 1716

384

384

-

-





50 g2_6_04h ..

g2_6_04h ..



16

2080

2084

-





53 g2_6_05h ..

54 g2_6_06h ..



discrete

discrete

numeric-10.0 28

numeric-10.0 39

2072

2061

-

-









-





60 g2_6_09h ..

61 g2_6_09h ..



discrete

discrete

numeric-10.0 21

numeric-10.0 14

2079

2086

-

-









66 g2_6_12h ..

g2_6_12h ..



20

2074

2080

-





69 g2_6_13h ..

70 g2_6_14h ..



discrete

discrete

numeric-10.0 13

numeric-10.0 11

2087

2089

-

-



72 g2_6_15h .. g2_6_15h00_2 Time allocation from 15:30h-5:59h_Second activity






-


88 g2_6_23h ..

89 g2_6_23h ..


16:30h-16:59h_Secondactivity





77 g2_6_17h ..

g2_6_18h ..



38

2057

2062

-





80 g2_6_19h ..

g2_6_19h ..



58

2043

2042

-





83 g2_6_20h ..

84 g2_6_21h ..



discrete

discrete

numeric-10.0 38

numeric-10.0 17

2062

2083

-

-









discrete

discrete

numeric-10.0 0

numeric-10.0 0

2100

2100

-

-

-





91 g2_6_24h ..

g2_6_01h ..



3

2099

2097

-



93 g2_6_01h ..

94 g2_6_02h ..



discrete

discrete

numeric-10.0 1

numeric-10.0 0

2099

2100

-

-

95 g2_6_02h ..

g2_6_03h ..



2

2099

2098

-





98 g2_6_02 g2_6_02 How satisfied are you with your available time for leisure activities li


File harvest_module_h_2012# Name Label Type Format Valid Invalid Question


2 h0 h0 Items discrete numeric-9.0 3023 0 -

3 h_1 h_1 WOMAN’S ID CODE discrete numeric-10.0 3023 0 -FROM THE HOUSEHOLDROSTER (Module C)

4 h_2 h_2 Please tell me how old continuous numeric-10.0 3023 0 -you are. What was your age(Converted post-submission to discrete with 5 year categories to protect the privacy of respondents) at your last birthday?

5 h_3 h_3 Is the respondent age between the ages of 15 and 49 years old?


-

6 h_4 h_4 IS THE RESPONDENT BETWEEN THE AGES OF 15 AND 49 YEARS?


7 h_5 h_5 Are you currently pregnant?


-


File harvest_module_h_2012# Name Label Type Format Valid Invalid Question

8 h_6 h_6 Weight in kilograms continuous numeric-12.2 2444 579 -

9 h_7 h_7 Height in centimeters continuous numeric-10.0 2444 579 -

10 h_8 h_8 Food made from grains, discrete numeric-10.0 2556 467 -such as bread, rice, noodles,porridge

11 h_9 h_9 Pumpkin, carrots, squash, or sweet potatoes that are yellow or orange inside


12 h_10 h_10 White potatoes, white yams, manioc, cassava, or any other foods made from r


13 h_11 h_11 Any dark green leafy vegetables


14 h_12 h_12 Ripe mangoes, ripe papayas


15 h_13 h_13 Any other fruits or discrete numeric-10.0 2556 467 -vegetables

16 h_14 h_14 Liver, kidney, heart, or discrete numeric-10.0 2556 467 -other organ meats

17 h_15 h_15 Any meat, such as beef, pork, lamb, goat, chicken, or duck


18 h_16 h_16 Eggs discrete numeric-10.0 2556 467 -

19 h_17 h_17 Fresh or dried fish, shellfish, or seafood


20 h_18 h_18 Any foods made from discrete numeric-10.0 2556 467 -beans, peas, lentils, nuts, orseeds

21 h_19 h_19 Cheese, yogurt, or other discrete numeric-10.0 2556 467 -milk products

22 h_20 h_20 Any oil, fats, or butter, discrete numeric-10.0 2556 467 -or foods made with any ofthese

23 h_21 h_21 Any sugary foods discrete numeric-10.0 2556 467 -such as chocolates, sweets,candies, pastries, cakes, or b

24 h_22 h_22 Condiments for flavor, such as chilies, spices, herbs, or fish powder


25 h_23 h_23 Grubs, snails, or insects discrete numeric-10.0 2556 467 -

26 h_24 h_24 Foods made with red palm oil, red palm nut, or red palm nut pulp sauce


File#

harvest_module_i_2012Name Label Type Format Valid Invalid Question


2 i0 i0 Items discrete numeric-9.0 1168 0 -

-


22 i_21

23 i_22

File harvest_module_i_2012# Name Label Type Format Valid Invalid Question

3 i_1 i_1 CAREGIVER’S ID CODE FROM THEHOUSEHOLD ROSTER


4 i_2 i_2 CHILD’S ID CODE FROM THE HOUSEHOLD ROSTER


5 i_3 i_3 What is [child’s name]’s sex?


6 i_4 i_4 How old was [child’s name] at [his/her] last birthday?


7 i_5 i_5 How many months old is [child’s name]?


8 i_6 i_6 CHECK I05. IS THE CHILD UNDER 60 MONTHS?


9 i_7 i_7 DOES CHILD HAVE discrete numeric-10.0 1010 158 -EDEMA?

10 i_8 i_8 Weight in kilograms: continuous numeric-10.0 1010 158 -

11 i_9 i_9 Height in centimeters continuous numeric-10.0 1010 158 -

12 i_10 i_10 CHECK QUESTION discrete numeric-10.0 1010 158 -I05. IS THE CHILD UNDER24 MONTHS OF AGE?

13 i_11 i_11 Has [child’s name] ever discrete numeric-10.0 398 770 -been breastfed?

14 i_12 i_12 Was [child’s name] discrete numeric-10.0 391 777 -breastfed yesterday duringthe day or at night?

15 i_13 i_13 Did [Child’s name] discrete numeric-10.0 74 1094 -consume breast milk in anyof these ways yesterday durin

16 i_14 i_14 Was [child’s name] given any vitamin drops or other medicines as drops yest


17 i_15 i_15 Was [child’s name] given [local name for oral rehydration solution] yesterd


18 i_17 i_17 Plain water? discrete numeric-10.0 398 770 -

19 i_18 i_18 Infant formula such as discrete numeric-10.0 398 770 -[France Bébé, Similac andDumex]?

20 i_19 i_19 How many times yesterday during the day or at night did [child’s name] cons


21 i_20 i_20 Did [child’s name] have any milk such as tinned, powdered, or fresh animal


i_21 How many times discrete numeric-10.0 35 1133 -yesterday during the day or atnight did [child’s name] cons

i_22 Did [child’s name] have discrete numeric-10.0 398 770 -any juice or juice drinks?

-



24 i_23 i_23 Clear broth? discrete numeric-10.0 398 770 -

25 i_24 i_24 Yogurt? discrete numeric-10.0 398 770 -

26 i_25 i_25 How many times discrete numeric-10.0 3 1165 -yesterday during the day or atnight did [child’s name] cons

27 i_26 i_26 Did [child’s name] have any thin porridge


28 i_27 i_27 Any other liquids such as [Porridge that cooked from rice mix with vegetabl


29 i_28 i_28 Any other liquids? discrete numeric-10.0 398 770 -

30 i_29 i_29 Food made from grains, such as bread, rice, noodles, porridge


31 i_30 i_30 Pumpkin, carrots, squash, or sweet potatoes that are yellow or orange insid


32 i_31 i_31 White potatoes, white yams, manioc, cassava, or any other foods made from r


33 i_32 i_32 Any dark green leafy discrete numeric-10.0 398 770 -vegetables

34 i_33 i_33 Ripe mangoes, ripe discrete numeric-10.0 398 770 -papayas

35 i_34 i_34 Any other fruits or vegetables


36 i_35 i_35 Liver, kidney, heart, or discrete numeric-10.0 398 770 -other organ meats

37 i_36 i_36 Any meat, such as beef, discrete numeric-10.0 398 770 -pork, lamb, goat, chicken, orduck

38 i_37 i_37 Eggs discrete numeric-10.0 398 770 -

39 i_38 i_38 Fresh or dried fish, discrete numeric-10.0 398 770 -shellfish, or seafood

40 i_39 i_39 Any foods made from beans, peas, lentils, nuts, or seeds


41 i_40 i_40 Cheese, yogurt, or other milk products


42 i_41 i_41 Any oil, fats, or butter, or foods made with any of these


43 i_42 i_42 Any sugary foods such as chocolates, sweets,candies, pastries, cakes, or b


44 i_43 i_43 Condiments for flavor, such as chilies, spices, herbs, or fish powder


45 i_44 i_44 Grubs, snails or insects discrete numeric-10.0 398 770 -

-



46 i_45 i_45 Foods made with red palm oil, red palm nut, or red palm nut pulp sauce


47 i_46 i_46 IF ‘YES’ PROBE: Whatkind of solid, semi-solid, or soft foods did [child’s


48 i_47 i_47 How many times did [child’s name] eat solid, semi-solid, or soft foods othe


File#

harvest_module_j1_2012Name Label Type Format Valid Invalid Question


2 j101 j101 plot # continuous numeric-9.0 8419 0 -

3 j103

4 j104

j103 What type of plot is this?

j104 What is the tenancy status of this plot?

discrete

discrete

numeric-12.0 8419

numeric-24.0 8419

0

0

-

-

5 j105 j105 If rented, how much did you pay for this plot last season?


6 j106 j106 Area As reported continuous numeric-10.2 8419 0 -

7 j107 j107 Area (Convertor codes) discrete numeric-14.0 8419 0 -

8 j108 j108 Was this field cultivated in the last WET SEASON?


9 j109a

10 j109b

j109a Crops cultivated in the last WET SEASON

j109b Crops cultivated in the last WET SEASON

discrete

discrete

numeric-43.0 7391

numeric-43.0 1528

1028

6891

-

-

11 j109c

12 j110

j109c Crops cultivated in the last WET SEASON

j110 Was this field cultivated in the last DRY SEASON?

discrete

discrete

numeric-43.0 140

numeric-20.0 8407

8279

12

-

-

13 j111a j111a Crops cultivated in the last DRY SEASON


-14 j111b j111b Crops cultivated in the last DRY SEASON

discrete numeric-43.0 338 8081

15 j111c j111c Crops cultivated in the last DRY SEASON


16 area_ha

17 nparcels

plot area in hectares

# of parcels per household

continuous

continuous

numeric-9.0 8419

numeric-9.0 8419

0

0

-

-

18 wplots # of wet season rice plots per household


19 dplots # of dry season rice plots per household


-


File harvest_module_j2a_2012# Name Label Type Format Valid Invalid Question

1 a01 household id continuous numeric-12.0 5666 0 -

2 j2a01 j2a01_ plot # continuous numeric-8.0 5666 0 -

3 j2a02 j2a02_ cultivated area (ha) continuous numeric-9.0 5666 0 -

4 j2a03 j2a03_ harvested area (ha) continuous numeric-9.0 5666 0 -

5 j2a04 j2a04_ did you use improved rice seed variety?


6 j2a05 j2a05_ is this wet rice broadcast or transplanted?


7 j2a06 j2a06_ what is the source of the seed used in the wet season?


8 j2a07 j2a07_ if purchased, in total how much did you pay for it? (0000 riels)


9 j2a08 j2a08_ what quantity of seed did you plant? (kg)


10 j2a09 j2a09_ did you use fertilizer discrete numeric-8.0 5666 0 -on this plot?

11 j2a10 j2a10_ what type of fertilizer discrete numeric-8.0 3996 1670 -did you use?

12 j2a11 j2a11_ how much did you continuous numeric-9.0 2607 3059 -use? (kg)

13 j2a12 j2a12_ what is the source? discrete numeric-8.0 2607 3059 -

14 j2a13 j2a13_ if purchased, how much did you pay? (0000 riels)


15 j2a14 j2a14_ how much did you continuous numeric-8.0 3052 2614 -use? (kg)


17 j2a16 j2a16_ if purchased, how much did you pay? (0000 riels)


18 j2a17 j2a17_ did you use pesticides on this plot?


19 j2a18 j2a18_ amount of pesticides continuous numeric-9.0 1751 3915 -

20 j2a19 j2a19_ type of unit of pesticides



22 j2a21 j2a21_ if purchased, how continuous numeric-9.0 1751 3915 -much did you pay in total?(0000 riels)

23 j2a22 j2a22_ did you hire any labour to work on this plot?


24 j2a23 j2a23_ land preparation; canal cleaning/repair_# of workers


25 j2a24 j2a24_ land preparation; canal cleaning/repair_amount paid (0000 riels)


-



26 j2a25 j2a25_ planting_# of workers continuous numeric-8.0 4148 1518 -

27 j2a26 j2a26_ planting_amount paid (0000 riels)


28 j2a27 j2a27_ weeding_# of workers continuous numeric-8.0 4148 1518 -

29 j2a28 j2a28_ weeding_amount paid (0000 riels)


30 j2a29 j2a29_ harvesting_# of workers


31 j2a30 j2a30_ harvesting_amount continuous numeric-9.0 4148 1518 -paid (0000 riels)

32 j2a31 j2a31_ did you use any other discrete numeric-8.0 5666 0 -inputs (oil, diesel, water, etc)or rented

33 j2a32 j2a32_ if used other inputs, how much money did you spend in total in th


34 j2a33 j2a33_ how much wet season paddy rice did you harvest? (k)g


File harvest_module_j2b_2012# Name Label Type Format Valid Invalid Question

1 a01 household id continuous numeric-12.0 723 0 -

2 j2b01 j2b01_ plot # discrete numeric-8.0 723 0 -

3 j2b02 j2b02_ cultivated area (ha) continuous numeric-9.0 723 0 -

4 j2b03 j2b03_ harvested area (ha) continuous numeric-9.0 723 0 -

5 j2b04 j2b04_ did you use improved discrete numeric-8.0 723 0 -rice seed variety?

6 j2b05 j2b05_ is this wet rice broadcast or transplanted?


7 j2b06 j2b06_ what is the source of the seed used in the wet season?


8 j2b07 j2b07_ if purchased, in total how much did you pay for it? (0000 riels)


9 j2b08 j2b08_ what quantity of seed did you plant? (kg)


10 j2b09 j2b09_ did you use fertilizer discrete numeric-8.0 723 0 -on this plot?

11 j2b10 j2b10_ what type of fertilizer did you use?


12 j2b11 j2b11_ how much did you use? (kg)


13 j2b12 j2b12_ what is the source? discrete numeric-8.0 232 491 -

14 j2b13 j2b13_ if purchased, how much did you pay? (0000 riels)


-



15 j2b14 j2b14_ how much did you use? (kg)



17 j2b16 j2b16_ if purchased, how much did you pay? (0000 riels)


18 j2b17 j2b17_ did you use pesticides on this plot?


19 j2b18 j2b18_ amount of pesticides continuous numeric-9.0 600 123 -

20 j2b19 j2b19_ type of unit of pesticides



22 j2b21 j2b21_ if purchased, how continuous numeric-9.0 600 123 -much did you pay in total?(0000 riels)

23 j2b22 j2b22_ did you hire any discrete numeric-8.0 723 0 -labour to work on this plot?

24 j2b23 j2b23_ land preparation; discrete numeric-8.0 616 107 -canal cleaning/repair_# ofworkers

25 j2b24 j2b24_ land preparation; continuous numeric-8.0 616 107 -canal cleaning/repair_amountpaid (0000 riels)

26 j2b25 j2b25_ planting_# of workers continuous numeric-8.0 616 107 -

27 j2b26 j2b26_ planting_amount paid (0000 riels)


28 j2b27 j2b27_ weeding_# of discrete numeric-8.0 616 107 -workers

29 j2b28 j2b28_ weeding_amount paid continuous numeric-8.0 616 107 -(0000 riels)

30 j2b29 j2b29_ harvesting_# of continuous numeric-9.0 616 107 -workers

31 j2b30 j2b30_ harvesting_amount continuous numeric-9.0 616 107 -paid (0000 riels)

32 j2b31 j2b31_ did you use any other inputs (oil, diesel, water, etc) or rented


33 j2b32 j2b32_ if used other inputs, how much money did you spend in total in th


34 j2b33 j2b33_ how much wet season paddy rice did you harvest? (k)g


File#

harvest_module_j2c_2012Name Label Type Format Valid Invalid Question


2 j2c01 j2c01 items discrete numeric-21.0 6300 0 -

-


File harvest_module_j2c_2012# Name Label Type Format Valid Invalid Question

3 j2c02 j2c02 Did you sell [RICE TYPE] in the past 12 months?


4 j2c03a j2c03a How much [RICE TYPE] did you sell?_ Amount


5 j2c03b_1 j2c03b How much [RICE TYPE] did you sell?_Month of selling rice


6 j2c03b_2

j2c03b_3

j2c03b How much [RICE TYPE] did you sell?_Month of selling rice


70

6085

6230

-

-7 j2c03b How much [RICE TYPE] did you sell?_Month of selling rice






10 j2c03c j2c03c How much [RICE TYPE] did you sell?_Unit price


11 j2c04 j2c04 How much did you get in total from sales of [RICE TYPE]? ('0000 Riels)


7 j3a05

8 j3a06



2 j3a01 j3a01 items discrete numeric-35.0 52500 0 -

3 j3a02 j3a02 Did you grow [VEGETABLE TYPE] in thelast 12 months?


4 j3a03 j3a03 Was this [VEGETABLE TYPE]grown in a home garden?


5 j3a04a j3a04a What was the total area planted with [VEGETABLE TYPE]?_Area(as reported)


6 j3a04b j3a04b What was the total area planted with [VEGETABLE TYPE]?_Area


j3a05 Quantity Produced continuous numeric-10.2 5968 46532 -of [VEGETABLE TYPE]?_Quantity(Kg)

j3a06 Quantity Produced continuous numeric-9.0 5968 46532 -of [VEGETABLE TYPE]?_Type of unit (Riel/Kg)

-


10 j3a08

11 area_veg



2 j3b01 j3b01 items discrete numeric-23.0 25200 0 -

3 j3b02

j3b03

j3b02 Did you use [INPUT TYPE] in vegetable production in the last 12 months?


4243

5872

20957

-

-4 j3b03 Did you purchase or pay for this [Input Type]?


5 j3b04 j3b04 How much did you pay for the total quantity purchased? ('0000 Riels)


File harvest_module_j4_2012# Name Label Type Format Valid Invalid Question


2 j401 j401 code discrete numeric-45.2 4954 0 -

3 j402 j402 did you grow [crop] the last 12 months?


4 j403a j403a how much did you produce of [crop]?_quantity (kg)


5 j403b j403b how much did you produce of [crop]?_unit (riel/ kg)


6 j404 j404 did you sell [crop] this past season?


7 j405 j405 how much did you get in total from sales of [crop]? (0000 riels)


File harvest_module_k1ab_2012# Name Label Type Format Valid Invalid Question


2 k1a k1a Does this household raise fish?



9 j3a07 j3a07 Did you sell [VEGETABLE TYPE] in thelast 12 months?


j3a08 How much did you continuous numeric-10.0 4063 48437 -get in total from sales of[VEGETABLE TYPE]?(0000 Riels)

vegetable plot area (ha) continuous numeric-9.0 5959 46541 -

-


File harvest_module_k1ab_2012# Name Label Type Format Valid Invalid Question

3 k1b k1b Have you had any harvest?


File#

harvest_module_k2_2012Name Label Type Format Valid Invalid Question


2 k201 k201 fish species and codes discrete numeric-10.2 255 0 -

3 k202a k202a how much did you produce of [fish species]? quantity (kg)


4 k202b k202b how much did you produce of [fish species]? (riel/kg)


5 k203 k203 did you sell any [fish species] during the last production cycle?


6 k204 k204 how much did you get in total from sales of [fish species]? ('000


File harvest_module_k3_2012# Name Label Type Format Valid Invalid Question


2 k301 k301 Input Type and Code discrete numeric-53.0 1120 0 -

3 k302 k302 Did you use [INPUT TYPE] in fish production during the last production cycl


4 k303 k303 What is the source? discrete numeric-47.0 450 670 -

5 k304 k304 If purchased, how much did you pay in the total?


File harvest_module_l1_2012# Name Label Type Format Valid Invalid Question


2 l101 l101 items discrete numeric-56.0 33600 0 -

3 l102 l102 Did you receive any extension assistance or advisory service related to [TY


4 l103_1 l103 What was the media? Check the most important one.




-





7 l104_1 l104 Who provided the discrete numeric-36.0 13795 19805 -extension service/advice?


9 l105 l105 Did you pay for the service?


10 l106 l106 If so, how much did you pay? (0000 Riels)


11 l107 l107 After receiving the advice, did you follow it or adopted the practices?











6 l203_3 l203 What was the media? discrete numeric-10.0 6 27294 -Check the most importantone.


8 l204_2 l204 Who provided the extension service/advice?




10 l206 l206 If so, how much did you discrete numeric-10.0 0 27300 -pay? (0000 Riels)






-





4 l303_1

l303_2

l303 What was the media? Check the most important one.


2

18777

20998

-

-5 l303 What was the media? Check the most important one.




7 l304_1

8 l304_2

l304 Who provided the extension service/advice?

l304 Who provided the extension

discrete

discrete

numeric-36.0 2160

numeric-36.0 65

18840

20935

-

-



10 l306 l306 If so, how much did you pay? (0000 Riels)




-

USAID Cambodia-HARVEST Program- BASELINE SURVEY DATA - Variables Description

Variables DescriptionDataset contains 609 variable(s)

-

File : harvest_module_ab_2012# a01: A01 Household id

Information [Type= continuous] [Format=numeric] [Range= 202020801-1711090725] [Missing=*]

Statistics [NW/ W] [Valid=2100 /-] [Invalid=0 /-] [Mean=1004818168.542 /-] [StdDev=621492699.727 /-]

# a02: A02 Village Group

Information [Type= discrete] [Format=numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=2100 /-] [Invalid=0 /-]

Value Label Cases Percentage

1 2012 HARVEST Activity 1316 62.7%

2 2013 HARVEST Activity, control vlg. for endline 184 8.8%

3 Control/Comparison, no in the endline 600 28.6%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a03: A03 Village code



# a04: a04.1 Commune name




20202 Ta Meun 50 2.4%

20203 Outaki 75 3.6%

20209 Bansay Traeng 25 1.2%

20210 Rung Chrey 75 3.6%

20402 Khnach Romeas 50 2.4%

20605 Chrey 175 8.3%

20609 Robas Mongkol 75 3.6%

60117 Tnoat Chum 25 1.2%

60204 Kampong Svay 50 2.4%

60208 Tbaeng 25 1.2%

60209 Trapeang Ruessei 50 2.4%

60211 Prey Kuy 25 1.2%

60310 Srayov 50 2.4%

60405 Sala Visai 100 4.8%

60503 Sambour 25 1.2%

60703 Kampong Thma 50 2.4%

60707 Prasat 125 6.0%

150103 Khnar Totueng 75 3.6%

150106 Rumlech 100 4.8%

150110 Trapeang Chong 100 4.8%

150308 Ou Sandan 126 6.0%

150309 Sna Ansa 25 1.2%

150311 Thnaot Chum 99 4.7%

170202 Leang Dai 25 1.2%

170203 Peak Snaeng 25 1.2%

-

File : harvest_module_ab_2012# a04: a04.1 Commune name


170411 Sangvaeuy 50 2.4%

170905 Kantreang 50 2.4%

170906 Kandaek 50 2.4%

170909 Trapaing Thum 50 2.4%

171006 Chreav 50 2.4%

171011 Ampil 50 2.4%

171101 Chan Sa 75 3.6%

171108 Popel 50 2.4%

171109 Samraong 50 2.4%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a05: a05.1 District name




202 Thma Koul 225 10.7%

204 Bavel 50 2.4%

206 Moung Ruessei 250 11.9%

601 Baray 25 1.2%

602 Kampong Svay 150 7.1%

603 Krong Stueng Saen 50 2.4%

604 Prasat Ballangk 100 4.8%

605 Prasat Sambour 25 1.2%

607 Santuk 175 8.3%

1501 Bakan 275 13.1%

1503 Krakor 250 11.9%

1702 Angkor Thom 50 2.4%

1704 Chi Kraeng 50 2.4%

1709 Prasat Bakong 150 7.1%

1710 Siem Reap 100 4.8%

1711 Soutr Nikom 175 8.3%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a06: a06.1 province name




2 Battambang 525 25.0%

6 Kampong Thom 525 25.0%

15 Pursat 525 25.0%

17 Siem Reap 525 25.0%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a08: A08 Type of Technical Assistance from HARVEST


-

File : harvest_module_ab_2012# a08: A08 Type of Technical Assistance from HARVEST



0 No technical assistance 415 19.8%

1 Home Garden 906 43.1%

2 Aquaculture 160 7.6%

3 Rice Production 424 20.2%

4 All of the above 16 0.8%

5 Home Garden and Aquaculture 43 2.0%

6 Home Garden and Rice Production 111 5.3%

7 Aquaculture and Rice Production 25 1.2%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a09: A09 Type of household




1 Male And Female adult-household contains at least one male and 2003 95.4%one female adult ? 18 years old

2 Female adult only-household contains at least one female adult and 95 4.5%no male adults ? 18 years old

3 Male adult only - household contains at least one male adult and no 2 0.1%female adults ? 18 years old

4 Child only-household contains no adults ? 18 years old 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a10: a10 Primary Respondent Name and ID (from Module C)



46.5%

49.0%

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a11: a11 Secondary Respondent Name and ID (from Module C)




1 1010 50.4%

2 841 42.0%

3 74 3.7%


1 975

2 1028

3 52 2.5%

4 36 1.7%

5 4 0.2%

6 2 0.1%

7 1 0.0%

Sysmiss 2

-

File : harvest_module_ab_2012# a11: a11 Secondary Respondent Name and ID (from Module C)


4 51 2.5%

5 17 0.8%

6 5 0.2%

7 2 0.1%

8 1 0.0%

9 1 0.0%

10 1 0.0%

Sysmiss 97Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a13: A13 Date of first visit (dd/mm/yyyy)

Information [Type= discrete] [Format=character] [Missing=*]



13/09/2012 160 7.6%

14/09/2012 158 7.5%

15/09/2012 142 6.8%

16/09/2012 159 7.6%

17/09/2012 161 7.7%

18/09/2012 160 7.6%

19/09/2012 110 5.2%

22/08/2012 161 7.7%

23/08/2012 155 7.4%

24/08/2012 167 8.0%

25/08/2012 156 7.4%

26/08/2012 159 7.6%

27/08/2012 161 7.7%

28/08/2012 91 4.3%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a14: A14 Date of second visit (dd/mm/yyyy)




01/09/2012 158 7.5%

02/09/2012 160 7.6%

03/09/2012 160 7.6%

04/09/2012 90 4.3%

20/09/2012 162 7.7%

21/09/2012 156 7.4%

22/09/2012 164 7.8%

23/09/2012 164 7.8%

24/09/2012 163 7.8%

25/09/2012 158 7.5%

-

File : harvest_module_ab_2012# a14: A14 Date of second visit (dd/mm/yyyy)


26/09/2012 83 4.0%

29/08/2012 160 7.6%

30/08/2012 158 7.5%


# a15: A15 Date of third visit (dd/mm/yyyy)




01/10/2012 151 7.2%

02/10/2012 145 6.9%

03/10/2012 80 3.8%

05/09/2012 160 7.6%

06/09/2012 161 7.7%

07/09/2012 160 7.6%

08/09/2012 163 7.8%

09/09/2012 160 7.6%

10/09/2012 162 7.7%

11/09/2012 85 4.0%

26/09/2012 36 1.7%

27/09/2012 163 7.8%

28/09/2012 163 7.8%

29/09/2012 159 7.6%


# a16: A16 Final outcome of interview (enter code)




1 Complete 1734 82.6%

2 Incomplete 274 13.0%

3 Absent 28 1.3%

4 Refused 1 0.0%

5 Could not locate 63 3.0%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a19: A19 Date of data entry(dd/mm/yyyy)




01/10/2012 58 2.8%

02/10/2012 68 3.2%

-

File : harvest_module_ab_2012# a19: A19 Date of data entry(dd/mm/yyyy)


03/10/2012 61 2.9%

04/10/2012 65 3.1%

05/10/2012 73 3.5%

06/10/2012 108 5.1%

08/10/2012 109 5.2%

09/10/2012 104 5.0%

10/10/2012 111 5.3%

11/10/2012 102 4.9%

12/10/2012 93 4.4%

17/09/2012 4 0.2%

18/09/2012 48 2.3%

18/10/2012 97 4.6%

19/09/2012 65 3.1%

19/10/2012 93 4.4%

20/09/2012 77 3.7%

20/10/2012 86 4.1%

21/09/2012 55 2.6%

22/09/2012 63 3.0%

22/10/2012 56 2.7%

23/09/2012 61 2.9%

24/09/2012 68 3.2%

25/09/2012 69 3.3%

26/09/2012 68 3.2%

27/09/2012 71 3.4%

28/09/2012 59 2.8%

29/09/2012 57 2.7%


# b01: B01 Do you agree to be interviewed




1 Yes 2100 100.0%

2 No 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# b02_01: b02_01 did your household participate in HARVEST Project? month




1 75 5.0%

2 70 4.7%

3 96 6.4%

-

File : harvest_module_ab_2012# b02_01: b02_01 did your household participate in HARVEST Project? month


4 66 4.4%

5 167 11.1%

6 163 10.9%

7 399 26.6%

8 348 23.2%

9 30 2.0%

10 19 1.3%

11 41 2.7%

12 26 1.7%


# b02_02: b02_02 did your household participate in HARVEST Project? year




2011 100 6.7%

2012 1400 93.3%


# group: Type: Treatment / Control Group




1 treatment 1500 71.4%

2 control 600 28.6%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# group1: New control_treatment: with contamination1




1 treatment 1524 72.6%

2 control 576 27.4%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# trt_1: New treatment variable-excludes dropouts




0 522 32.4%

1 1088 67.6%


-

File : harvest_module_ab_2012# trt_2: New treatment variable-includes dropouts





0 522 29.1%

1 1273 70.9%

Sysmiss 305

-

File : harvest_module_c_2012# a01: a01 household id



# c01: c01 items




1 2100 19.0%

2 2091 18.9%

3 2024 18.3%

4 1783 16.1%

5 1348 12.2%

6 828 7.5%

7 458 4.1%

8 253 2.3%

9 105 0.9%

10 45 0.4%

11 20 0.2%

12 8 0.1%

13 6 0.1%

14 2 0.0%

15 1 0.0%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# c03: c03 What is [NAME’s] relationship to household head?




1 household head 2100 19.0%

2 Spouse/partner 1821 16.4%

3 Son/daughter 5656 51.1%

4 Son/daughter-in-law 274 2.5%

5 Grandson/granddaughter 602 5.4%

6 Mother/Father 180 1.6%

7 Brother/sister 85 0.8%

8 Nephew/niece 88 0.8%

9 Nephew/niece of spouse 34 0.3%

10 Cousin 8 0.1%

11 Brother/sister-in-law 61 0.6%

12 Mother/father-in-law 117 1.1%

13 Cousin of spouse 1 0.0%

14 Other relative 38 0.3%

15 Servant/Maid 0

16 Laborer 0

17 Other relationship 7 0.1%

-

File : harvest_module_c_2012# c03: c03 What is [NAME’s] relationship to household head?Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# c04: c04 What is [NAME’s] sex?




1 male 5475 49.4%

2 female 5597 50.6%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# c05: c05 What is [NAME’s] age?



# c06: c06 Can [NAME] read and write?




1 Cannot read and write 2620 25.1%

2 Can sign only 234 2.2%

3 Can read only 971 9.3%

4 Can read and write 6623 63.4%


# c07: c07 Has [NAME] ever attended school?




1 yes 8581 82.1%

2 no 1867 17.9%


# c08: c08 What is the highest grade of education completed




0 pre-school 142 1.7%

1 grade 1 567 6.6%

2 grade 2 823 9.6%

3 grade 3 979 11.4%

4 grade 4 997 11.6%

5 grade 5 897 10.5%

6 grade 6 850 9.9%

7 grade 7 852 9.9%

-

File : harvest_module_c_2012# c08: c08 What is the highest grade of education completed


8 grade 8 626 7.3%

9 grade 9 568 6.6%

10 grade 10 270 3.1%

11 grade 11 233 2.7%

12 grade 12 347 4.0%

13 university (bachelor or higher) 155 1.8%

14 various vocational training 36 0.4%

15 literacy class 239 2.8%


# c09: c09 Is [NAME] currently attending school?




1 yes 2893 33.7%

2 no 5688 66.3%


# c10: c10 Has [NAME] attended school last year?




1 yes 2988 34.8%

2 no 5593 65.2%


# c11: c11 If [NAME] attended school last year (C10=1) but is not attending this year (




1 Dropped out 107 78.7%

2 Failed/did not continue 7 5.1%

3 Graduated and no school available 13 9.6%

4 Other (specify) 9 6.6%


-

File : harvest_module_d_2012# a01: a01 household id



# d01: d01 What is the main construction material of your dwelling’s roof?




1 Thatch/leaves/grass 229 10.9%

2 Tiles 768 36.6%

3 Fibrous cement 107 5.1%

4 Galvanized iron or aluminum 991 47.2%

5 Salvaged materials 1 0.0%

6 Mixed but predominantly made of galvanized iron/aluminum, tiles 1 0.0%or fibrous cement

7 Mixed but predominantly made of thatch/leave /grass or salvaged 1 0.0%materials

8 Concrete 2 0.1%

9 Plastic sheet 0

10 Other (Specify) 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# d02: d02 What is the main construction material of your dwelling’s floor




1 Earth, clay 102 4.9%

2 Wooden planks 1705 81.2%

3 Bamboo strips 101 4.8%

4 Cement/Brick/Stone 71 3.4%

5 Parquet, polished wood 90 4.3%

6 Polished stone, marble 0

7 Vinyl 1 0.0%

8 Ceramic tiles 28 1.3%

9 Other (Specify) 2 0.1%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# d03: d03 What is the main construction material of your dwelling’s exterior walls




1 Bamboo, Thatch/leaves, Grass 570 27.1%

2 Wood or logs 1339 63.8%

3 Plywood 8 0.4%

4 Concrete, brick, stone 58 2.8%

5 Galvanized iron or aluminum 108 5.1%

-

File : harvest_module_d_2012# d03: d03 What is the main construction material of your dwelling’s exterior walls


6 Fibrous cement/Asbestos 8 0.4%

7 Makeshift, mixed materials 5 0.2%

8 Clay/dung with straw 3 0.1%

9 Other, specify 1 0.0%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# d04: d04 How many rooms are there in this dwelling? (Do not count bathrooms, hallways




1 1584 75.4%

2 454 21.6%

3 50 2.4%

4 8 0.4%

5 2 0.1%

6 1 0.0%


# d05: d05 What is the main type of toilet your household uses?




1 Pour flush (or flush) connected to sewerage 86 4.1%

2 Pour flush (or flush) to septic tank or pit 765 36.4%

3 Pour flush (or flush) to elsewhere (i.e. not a sewer or pit/tank 36 1.7%

4 Pit latrine with slab 14 0.7%

5 Pit latrine without slab or open pit 27 1.3%

6 Latrine overhanging field or water (drop in the field, pond, lake, 62 3.0%river, sea)

7 None 1108 52.8%

8 Other, specify 2 0.1%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# d06: d06 What is the main source of drinking water for your household?




1 Piped in dwelling or on premises 8 0.4%

2 Public tap 6 0.3%

3 Tubed/piped well or borehole 620 29.5%

4 Protected dug well 725 34.5%

5 Unprotected dug well 148 7.0%

6 Pond, river or stream (fetch water from pond, river, stream) 384 18.3%

7 Pond, river or stream (pump to the house) 49 2.3%

-

File : harvest_module_d_2012# d06: d06 What is the main source of drinking water for your household?


8 Improved rainwater collection 4 0.2%

9 Unimproved rainwater collection 92 4.4%

10 Water bought from tanker truck or vendor 63 3.0%


# d07: d07 What is the main lighting source for your household?




1 Publicly-provided electricity 582 27.7%

2 Generator 8 0.4%

3 Battery 934 44.5%

4 Kerosene lamp 484 23.0%

5 Candle 2 0.1%

6 None 0

7 Solar Panel 65 3.1%

8 Other (specify) 25 1.2%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# d08: d08 What is the main source of cooking fuel for your household?




1 Firewood 2014 95.9%

2 Charcoal 62 3.0%

3 Liquefied petroleum gas LPG 13 0.6%

4 Kerosene 1 0.0%

5 Publicly-provided electricity 1 0.0%

6 Household generator 0

7 None/don’t cook 0


# d10: d10 What is the main destination of household waste for this household?




1 Individual household dump/hole 2093 99.7%

2 Community dump/hole 1 0.0%

3 Community collection 0

4 Other 6 0.3%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

-

File : harvest_module_e1_2012# a01: a01 household id



# e1_01: e1_01 items




1 Rice 2100 1.5%

2 Bread 2100 1.5%

3 Corn 2100 1.5%

4 Wheat flour 2100 1.5%

5 Noodles 2100 1.5%


10 Cassava tubers 2100 1.5%

11 Cassava powder 2100 1.5%

12 Sweet potato 2100 1.5%

13 Irish potato 2100 1.5%


21 Green gram 2100 1.5%

22 Dhall 2100 1.5%

23 Cowpea 2100 1.5%

24 Coconut 2100 1.5%


31 Egg plant 2100 1.5%

32 Onion 2100 1.5%

33 Shallot 2100 1.5%

34 Cabbage 2100 1.5%

35 Spinach 2100 1.5%

36 Carrots 2100 1.5%

37 Beans 2100 1.5%

38 Tomato 2100 1.5%

39 Cucumber 2100 1.5%

40 Pumpkin 2100 1.5%

41 Chilli 2100 1.5%

42 Other vegetable 2100 1.5%

43 Other prepared vegetables 2100 1.5%

51 Beef 2100 1.5%

52 Buffalo 2100 1.5%

53 Mutton 2100 1.5%

54 Lamb 2100 1.5%

55 Pork 2100 1.5%

56 Poultry (Chicken or Duck) 2100 1.5%

57 Eggs 2100 1.5%

58 Fish 2100 1.5%

-

File : harvest_module_e1_2012# e1_01: e1_01 items


59 Shrimp 2100 1.5%

60 Prawn 2100 1.5%

61 Crab 2100 1.5%

62 OTHER SPECIFY) 2100 1.5%

71 Banana 2100 1.5%

72 Mango 2100 1.5%

73 Pineapple 2100 1.5%

74 Papaya 2100 1.5%

75 Durian and Jack fruit 2100 1.5%

76 Water melon 2100 1.5%

77 Other (Specify) 2100 1.5%

111 Milk 2100 1.5%

112 Ice Cream 2100 1.5%


126 Sugar 2100 1.5%

127 Cooking oil 2100 1.5%

128 Salt 2100 1.5%

129 Spice of all kinds 2100 1.5%


136 Tea 2100 1.5%

137 Coffee 2100 1.5%

138 Fruit juice 2100 1.5%

139 Soft drinks 2100 1.5%

140 Bottled / canned beer 2100 1.5%

141 Other alcohol (Wine, whiskey 2100 1.5%

171 Meals eaten outside home 2100 1.5%

172 Meals at school 2100 1.5%

173 Snacks 2100 1.5%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# e1_02: e1_02 Over the past one week (7 days), did you or others in your household consu




# e1_03: e1_03 Purchased in cash (riels)



# e1_04: e1_04 Owned product ( riels)




1 yes 43434 31.8%

2 no 93066 68.2%

-

File : harvest_module_e1_2012# e1_05: e1_05 Gifts, Free collections, (Imputed value) (riels)




Information[Type= continuous] [Format=numeric] [Range= 202020801-1711090725] [Missing=*]

Statistics [NW/ W][Valid=14700 /-] [Invalid=0 /-] [Mean=1004818168.542 /-] [StdDev=621365842.907 /-]

# e2_01: e2_01 items

Information[Type= discrete] [Format=numeric] [Range= 191-197] [Missing=*]

Statistics [NW/ W][Valid=14700 /-] [Invalid=0 /-]


# e2_02: e2_02 Over the past one week (7 days), did your household use or buy any [...]?




# e2_03: e2_03 How much did you pay (how much did they cost) in total? (0000 Riels)

Information[Type= continuous] [Format=numeric] [Range= 0.00999999977648258-53] [Missing=*]


-


191 Charcoal 2100 14.3%

192 Paraffin or kerosene 2100 14.3%

193 Cigarettes or other tobacco 2100 14.3%

194 Candles 2100 14.3%

195 Matches 2100 14.3%

196 Public transport - Bicycle Taxi (include any used for school), Bus, 2100 14.3%Minibus

197 Others 2100 14.3%


1 yes 7327 49.8%

2 no 7373 50.2%




# e3_01: e3_01 items




# e3_02: e3_02 Did you purchase [….] over the past one month?





InformationStatistics [NW/ W]

[Type= continuous] [Format=numeric] [Range= 0.0199999995529652-320] [Missing=*][Valid=17032 /-] [Invalid=12368 /-] [Mean=2.413 /-] [StdDev=8.983 /-]

-


211 Milling fees for grains (not including cost of grain itself), grain 2100 7.1%

212 Bar soap (body soap or clothes soap) 2100 7.1%

213 Clothes soap (powder, paste) 2100 7.1%

214 Toothpaste, toothbrush 2100 7.1%

215 Personal products (shampoo, razor blades, cosmetics, hair products, 2100 7.1%etc.)

216 Light bulbs 2100 7.1%

217 Phone charges, postage stamps or other postal fees 2100 7.1%

218 Donation - to church, charity, beggar, etc. 2100 7.1%

219 Petrol or diesel 2100 7.1%

220 Bicycle service, repair, or parts 2100 7.1%

221 Repairs to household and personal items (radios, watches, etc., 2100 7.1%excluding battery purchases)

222 Anything related to illnesses and injuries, including for medicine, 2100 7.1%tests, consultation, & in-patient fees,

223 Medical care not related to an illness - preventative health care, pre- 2100 7.1%natal visits, check-ups, etc.

224 Others… 2100 7.1%


1 yes 17032 57.9%

2 no 12368 42.1%

-




# e4_01: e4_01 items




# e4_02: e4_02 Over the past three months, did your household use or buy any [...]?





Information [Type= continuous] [Format=numeric] [Range= 0.00999999977648258-60] [Missing=*]



241 Infant clothing 2100 8.3%

242 Boy's clothing including shoes 2100 8.3%

243 Men's clothing including shoes 2100 8.3%

244 Girl's clothing and shoes 2100 8.3%

245 Lady's clothing and shoes 2100 8.3%

246 Cloth, thread, other sewing material 2100 8.3%

247 Bowls, glassware, plates, silverware, etc. 2100 8.3%

248 Cooking utensils (cook-pots, stirring spoons and whisks, etc.) 2100 8.3%

249 Cleaning utensils (brooms, brushes, etc.) 2100 8.3%

250 Torch / flashlight 2100 8.3%

251 Umbrella 2100 8.3%

252 Other 2100 8.3%


1 yes 6256 24.8%

2 no 18944 75.2%




# e5_01: e5_01 items




# e5_02: e5_02 Over the past one year (twelve months), did your household use or buy any





Information[Type= continuous] [Format=numeric] [Range= 0.0500000007450581-2800] [Missing=*]


-


291 Mattress, rugs, drapes, curtains 2100 6.2%

292 Linen - towels, sheets, blankets 2100 6.2%

293 Mat - sleeping or for drying maize flour 2100 6.2%

294 Mosquito net 2100 6.2%

295 Cement, brick, and construction timber 2100 6.2%

296 Marriage ceremony costs 2100 6.2%

297 Funeral costs, household members 2100 6.2%

298 Funeral costs, non-household members (relatives, neighbors/friends) 2100 6.2%

299 Hospitalizations or overnight stay in any hospital – total cost for 2100 6.2%treatment

300 Tuition, including extra tuition fees 2100 6.2%

301 Expenditures on after school programs and tutoring 2100 6.2%

302 School books and stationary 2100 6.2%

303 School uniform 2100 6.2%

304 Boarding fees 2100 6.2%

305 Transport to and from school 2100 6.2%

306 Other 2100 6.2%


1 yes 14597 43.4%

2 no 19003 56.6%

-




# e6_01: e6_01 Do you own or are purchasing this house, is it provided to you by an emplo




1 own 1954 92.1%

2 beingpurchased 98 4.6%

3 employer provides 0

4 free, authorized 68 3.2%

5 free, not authorized 0

6 rented 1 0.0%

98 don’t know/non-response/na 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# e6_02: e6_02 If you sold this dwelling today, how much would you receive for it? (no la




1 1 0.0%

2 1 0.0%

3 1 0.0%

4 2 0.1%

5 11 0.5%

6 1 0.0%

7 1 0.0%

8 2 0.1%

10 29 1.4%

12 2 0.1%

15 6 0.3%

20 38 1.9%

25 3 0.1%

30 28 1.4%

40 38 1.9%

45 2 0.1%

50 53 2.6%

51 1 0.0%

60 20 1.0%

64 4 0.2%

65 2 0.1%

70 3 0.1%

75 1 0.0%

80 35 1.7%

98 don’t know/non-response/na 9 0.4%

-

File : harvest_module_e6_2012# e6_02: e6_02 If you sold this dwelling today, how much would you receive for it? (no la


100 121 5.9%

104 1 0.0%

110 1 0.0%

120 39 1.9%

128 6 0.3%

130 3 0.1%

150 42 2.0%

160 5 0.2%

170 3 0.1%

180 3 0.1%

192 3 0.1%

200 176 8.6%

210 1 0.0%

220 1 0.0%

228 1 0.0%

240 6 0.3%

243 1 0.0%

250 14 0.7%

256 3 0.1%

258 1 0.0%

260 5 0.2%

270 1 0.0%

280 16 0.8%

300 112 5.5%

320 14 0.7%

340 1 0.0%

350 14 0.7%

360 3 0.1%

370 2 0.1%

380 1 0.0%

384 5 0.2%

400 190 9.3%

410 1 0.0%

420 2 0.1%

440 1 0.0%

450 4 0.2%

460 1 0.0%

480 6 0.3%

500 76 3.7%

512 4 0.2%

520 3 0.1%

550 1 0.0%

560 1 0.0%

-



576 1 0.0%

600 140 6.8%

612.5 1 0.0%

620 1 0.0%

640 3 0.1%

650 4 0.2%

680 1 0.0%

700 20 1.0%

720 5 0.2%

750 2 0.1%

780 3 0.1%

800 182 8.9%

840 1 0.0%

850 1 0.0%

900 7 0.3%

910 1 0.0%

960 1 0.0%

1000 75 3.7%

1100 3 0.1%

1200 111 5.4%

1280 6 0.3%

1300 4 0.2%

1350 1 0.0%

1400 12 0.6%

1500 13 0.6%

1600 44 2.1%

1700 1 0.0%

1800 8 0.4%

1920 3 0.1%

2000 102 5.0%

2200 2 0.1%

2400 15 0.7%

2500 2 0.1%

2560 1 0.0%

2600 1 0.0%

2800 17 0.8%

2900 1 0.0%

3000 5 0.2%

3200 8 0.4%

3250 1 0.0%

3600 3 0.1%

4000 34 1.7%

4400 1 0.0%

-



4560 1 0.0%

4600 1 0.0%

4800 2 0.1%

5000 1 0.0%

5200 2 0.1%

6000 3 0.1%

6800 1 0.0%

8000 2 0.1%

14400 1 0.0%

14800 1 0.0%


# e6_03: e6_03 How many years ago was this house built? (Years)




0 58 2.8%

1 70 3.4%

2 124 6.0%

3 156 7.6%

4 130 6.3%

5 141 6.9%

6 107 5.2%

7 96 4.7%

8 78 3.8%

9 32 1.6%

10 162 7.9%

11 35 1.7%

12 93 4.5%

13 46 2.2%

14 25 1.2%

15 94 4.6%

16 48 2.3%

17 47 2.3%

18 42 2.0%

19 29 1.4%

20 140 6.8%

21 26 1.3%

22 21 1.0%

23 23 1.1%

24 22 1.1%

25 40 1.9%

26 13 0.6%

-

File : harvest_module_e6_2012# e6_03: e6_03 How many years ago was this house built? (Years)


27 14 0.7%

28 9 0.4%

29 17 0.8%

30 44 2.1%

31 4 0.2%

32 18 0.9%

33 16 0.8%

34 3 0.1%

35 5 0.2%

40 6 0.3%

43 1 0.0%

46 1 0.0%

48 1 0.0%

50 3 0.1%

53 1 0.0%

60 2 0.1%

70 1 0.0%

80 1 0.0%



# e6_04a: e6_04a If you rented this dwelling today, how much rent would you receive? (‘000



# e6_04b: e6_04b If you rented this dwelling today, how much rent would you receive? (Unit




1 day 6 0.3%

2 week 1 0.0%

3 month 2004 94.5%

4 year 52 2.5%



# e6_05a: e6_05a How much do you pay to rent this dwelling? (0000 riel)



# e6_05b: e6_05b How much do you pay to rent this dwelling? (unit)



-

File : harvest_module_e6_2012# e6_05b: e6_05b How much do you pay to rent this dwelling? (unit)



1 day 4 0.2%

2 week 3 0.1%

3 month 2001 94.3%

4 year 57 2.7%


-




# e7_02: e7_02 items




1 Radio 2100 3.4%

2 Television 2100 3.4%

3 Telephone 2100 3.4%

4 Cell phone 2100 3.4%

5 Video/VCD/DVD player/recorder 2100 3.4%

6 Stereo 2100 3.4%

7 Camera (picture/video) 2100 3.4%

8 Satellite dish 2100 3.4%

9 Bicycle 2100 3.4%

10 Motorcycle 2100 3.4%

11 Sewing machine 2100 3.4%

12 Electric Kitchen/Gas Stove 2100 3.4%

13 Electric iron 2100 3.4%

14 Electric fan 2100 3.4%

15 Suitcases/box for store/ travelling 2100 3.4%

16 Batteries 2100 3.4%

17 Sofa set 2100 3.4%

18 Dining set (dining table + chairs) 2100 3.4%

19 Bed sets (Bed, Mattress…) 2100 3.4%

20 Wardrobe, cabinets 2100 3.4%

21 Rowing boat 2100 3.4%

22 Motor Boat 2100 3.4%

23 Cart (pulled by animal) 2100 3.4%

24 Tractor 2100 3.4%

25 Plough 2100 3.4%

26 Threshing machine 2100 3.4%

27 Rice mill 2100 3.4%

28 Water pump 2100 3.4%


# e7_03: e7_03 Total number




0 45020 73.9%

1 12292 20.2%

2 2642 4.3%

929

858

071

929

142

72

28

14

86

72

28

14

57

72

28

43

72

28

57

72

28

-

File : harvest_module_e7_2012# e7_03: e7_03 Total number


3 611 1.0%

4 205 0.3%

5 82 0.1%

6 27 0.0%

7 6 0.0%

8 5 0.0%

9 3 0.0%

10 5 0.0%


# e7_04: e7_04 What was the purchase value (or the imputed value) of all these. [ITEM]]s?

Information [Type= discrete] [Format=numeric] [Range= 0.300000011920929-20800] [Missing=*]



0.300000011920 1 0.0%

0.5 2 0.0%

0.600000023841 6 0.0%

0.699999988079 6 0.0%

0.75 2 0.0%

0.800000011920 4 0.0%

0.899999976158 2 0.0%

1 50 0.3%

1.200000047683 22 0.1%

1.25 1 0.0%

1.299999952316 6 0.0%

1.399999976158 9 0.1%

1.5 160 1.0%

1.600000023841 20 0.1%

1.700000047683 10 0.1%

1.75 1 0.0%

1.799999952316 49 0.3%

1.899999976158 6 0.0%

2 330 2.1%

2.099999904632 7 0.0%

2.200000047683 13 0.1%

2.299999952316 16 0.1%

2.400000095367 10 0.1%

2.450000047683 1 0.0%

2.5 158 1.0%

2.549999952316 1 0.0%

2.599999904632 6 0.0%

2.700000047683 9 0.1%

2.799999952316 24 0.2%

43

57

43

72

28

43

57

72

28

31

14

86

43

49

86

57

14

86

57

08

14

43

57

14

86

43

14

86

43

57

86

43

14

-

File : harvest_module_e7_2012# e7_04: e7_04 What was the purchase value (or the imputed value) of all these. [ITEM]]s?


2.900000095367 1 0.0%

3 294 1.9%

3.099999904632 2 0.0%

3.150000095367 1 0.0%

3.200000047683 12 0.1%

3.25 1 0.0%

3.299999952316 3 0.0%

3.400000095367 3 0.0%

3.5 119 0.7%

3.599999904632 5 0.0%

3.700000047683 7 0.0%

3.799999952316 8 0.1%

3.839999914169 1 0.0%

4 662 4.2%

4.199999809265 4 0.0%

4.300000190734 4 0.0%

4.400000095367 6 0.0%

4.480000019073 1 0.0%

4.5 42 0.3%

4.550000190734 1 0.0%

4.599999904632 1 0.0%

4.699999809265 1 0.0%

4.800000190734 29 0.2%

5 413 2.6%

5.099999904632 1 0.0%

5.119999885559 1 0.0%

5.199999809265 7 0.0%

5.400000095367 2 0.0%

5.5 19 0.1%

5.599999904632 5 0.0%

5.699999809265 2 0.0%

5.800000190734 4 0.0%

5.900000095367 1 0.0%

6 362 2.3%

6.199999809265 1 0.0%

6.300000190734 1 0.0%

6.400000095367 7 0.0%

6.5 14 0.1%

6.599999904632 2 0.0%

6.800000190734 4 0.0%

6.900000095367 1 0.0%

7 164 1.0%

7.199999809265 7 0.0%

57

62

86

86

27

86

14

73

51

82

03

49

09

51

37

51

49

51

49

97

51

49

51

33

97

51

61

51

-



7.5 23 0.1%

7.599999904632 3 0.0%

7.679999828338 3 0.0%

7.800000190734 3 0.0%

8 442 2.8%

8.300000190734 1 0.0%

8.399999618530 3 0.0%

8.5 13 0.1%

8.800000190734 5 0.0%

9 57 0.4%

9.199999809265 3 0.0%

9.5 3 0.0%

9.600000381469 4 0.0%

10 677 4.3%

10.19999980926 1 0.0%

10.23999977111 2 0.0%

10.39999961853 2 0.0%

10.5 7 0.0%

10.80000019073 4 0.0%

10.88000011444 3 0.0%

11 50 0.3%

11.19999980926 3 0.0%

11.5 5 0.0%

11.52000045776 1 0.0%

11.69999980926 1 0.0%

11.80000019073 2 0.0%

12 698 4.4%

12.19999980926 1 0.0%

12.30000019073 1 0.0%

12.35000038146 1 0.0%

12.5 23 0.1%

12.69999980926 1 0.0%

12.80000019073 14 0.1%

13 213 1.3%

13.19999980926 1 0.0%

13.43999958038 1 0.0%

13.5 17 0.1%

13.60000038146 3 0.0%

13.69999980926 1 0.0%

14 261 1.6%

14.07999992370 1 0.0%

14.19999980926 1 0.0%

14.5 10 0.1%

51

49

51

49

72

03

97

97

84

95

05

03

95

05

03

97

95

03

39

95

05

24

05

95

97

79

63

05

79

97

-


Percentage

4.2%

2.8%

19.5 5 0.0%

19.60000038146 1 0.0%

19.84000015258 1 0.0%

20 953 6.0%

20.47999954223 2 0.0%

20.79999923706 2 0.0%

20.84000015258 1 0.0%

21 60 0.4%

21.10000038146 1 0.0%

21.5 2 0.0%

Value Label Cases

14.69999980926 2 0.0%

14.80000019073 2 0.0%

15 671

15.19999980926 2 0.0%

15.30000019073 3 0.0%

15.35999965667 11 0.1%

15.39999961853 1 0.0%

15.5 4 0.0%

15.60000038146 1 0.0%

16 445

16.5 14 0.1%

16.60000038146 4 0.0%

16.63999938964 5 0.0%

16.70000076293 1 0.0%

16.79999923706 2 0.0%

16.89999961853 1 0.0%

17 197 1.2%

17.20000076293 2 0.0%

17.29999923706 1 0.0%

17.39999961853 1 0.0%

17.5 23 0.1%

17.60000038146 1 0.0%

17.70000076293 1 0.0%

17.89999961853 1 0.0%

17.92000007629 2 0.0%

18 313 2.0%

18.20000076293 1 0.0%

18.29999923706 1 0.0%

18.5 20 0.1%

18.55999946594 2 0.0%

18.79999923706 2 0.0%

19 73 0.5%

19.20000076293 34 0.2%

97

95

18

03

05

73

95

37

03

58

03

95

97

82

05

16

21

06

27

94

76

03

97

94

45

-



21.60000038146 3 0.0%

21.70000076293 1 0.0%

21.76000022888 2 0.0%

22 113 0.7%

22.39999961853 1 0.0%

22.5 5 0.0%

22.79999923706 2 0.0%

23 90 0.6%

23.04000091552 2 0.0%

23.20000076293 2 0.0%

23.27000045776 1 0.0%

23.39999961853 2 0.0%

23.5 5 0.0%

23.68000030517 1 0.0%

24 212 1.3%

24.39999961853 1 0.0%

24.5 1 0.0%

25 302 1.9%

25.20000076293 1 0.0%

25.5 1 0.0%

25.60000038146 12 0.1%

26 99 0.6%

26.23999977111 1 0.0%

26.5 1 0.0%

26.79999923706 1 0.0%

27 55 0.3%

27.36000061035 1 0.0%

27.5 2 0.0%

28 137 0.9%

28.15999984741 3 0.0%

28.79999923706 2 0.0%

28.95999908447 1 0.0%

29 17 0.1%

29.20000076293 1 0.0%

29.44000053405 4 0.0%

29.5 1 0.0%

30 375 2.4%

30.39999961853 1 0.0%

30.5 1 0.0%

30.60000038146 1 0.0%

30.70000076293 3 0.0%

30.71999931335 1 0.0%

31 17 0.1%

69

16

11

06

06

27

11

06

89

11

94

89

58

89

27

89

11

94

68

06

94

69

-



32 151 1.0%

32.27999877929 1 0.0%

32.36000061035 1 0.0%

32.5 3 0.0%

33 21 0.1%

33.5 2 0.0%

33.59999847412 2 0.0%

33.79999923706 2 0.0%

34 66 0.4%

34.5 4 0.0%

34.560001373291 2 0.0%

34.79999923706 2 0.0%

34.95999908447 1 0.0%

35 91 0.6%

35.5 1 0.0%

35.59999847412 1 0.0%

35.79999923706 1 0.0%

35.90000152587 1 0.0%

36 102 0.6%

36.5 1 0.0%

37 26 0.2%

37.5 1 0.0%

37.59999847412 2 0.0%

38 49 0.3%

38.20000076293 1 0.0%

38.40000152587 15 0.1%

39 14 0.1%

39.5 2 0.0%

39.560001373291 1 0.0%

39.68000030517 1 0.0%

40 567 3.6%

40.40000152587 1 0.0%

40.95999908447 1 0.0%

41 10 0.1%

41.40000152587 1 0.0%

41.59999847412 1 0.0%

42 30 0.2%

42.20000076293 2 0.0%

42.24000167846 2 0.0%

42.79999923706 1 0.0%

43 14 0.1%

43.20000076293 1 0.0%

43.27999877929 1 0.0%

37

89

06

47

06

94

11

94

84

11

94

63

06

11

32

06

11

89

06

11

-



43.5 1 0.0%

43.52000045776 1 0.0%

44 54 0.3%

44.40000152587 1 0.0%

44.79999923706 6 0.0%

45 96 0.6%

45.5 1 0.0%

46 28 0.2%

46.08000183105 1 0.0%

46.79999923706 1 0.0%

47 10 0.1%

47.20000076293 2 0.0%

48 91 0.6%

48.09999847412 1 0.0%

48.20000076293 1 0.0%

48.63999938964 1 0.0%

48.75 1 0.0%

49 10 0.1%

49.59999847412 1 0.0%

50 212 1.3%

51 19 0.1%

51.20000076293 9 0.1%

52 58 0.4%

52.47999954223 1 0.0%

52.5 2 0.0%

52.79999923706 1 0.0%

53 5 0.0%

53.59999847412 2 0.0%

53.75999832153 1 0.0%

54 19 0.1%

54.5 1 0.0%

54.79999923706 1 0.0%

55 35 0.2%

55.59999847412 1 0.0%

55.90000152587 1 0.0%

56 29 0.2%

56.79999923706 1 0.0%

57 9 0.1%

57.59999847412 3 0.0%

58 14 0.1%

59 6 0.0%

60 338 2.1%

61 3 0.0%

11

32

22

22

11

89

78

53

22

36

78

11

-



61.09999847412 1 0.0%

61.439998626709 2 0.0%

61.75999832153 2 0.0%

62 6 0.0%

62.5 1 0.0%

63 7 0.0%

64 26 0.2%

65 32 0.2%

66 9 0.1%

67 9 0.1%

67.19999694824 1 0.0%

68 21 0.1%

69 3 0.0%

69.19999694824 1 0.0%

69.59999847412 1 0.0%

70 112 0.7%

70.40000152587 1 0.0%

71 5 0.0%

71.5 1 0.0%

72 20 0.1%

73 3 0.0%

73.5 1 0.0%

74 2 0.0%

75 23 0.1%

76 16 0.1%

76.80000305175 7 0.0%

77 2 0.0%

78 8 0.1%

79 2 0.0%

80 249 1.6%

81.91999816894 1 0.0%

82 7 0.0%

83 1 0.0%

83.19999694824 1 0.0%

84 9 0.1%

84.48000335693 1 0.0%

85 20 0.1%

86 3 0.0%

86.80000305175 1 0.0%

87 3 0.0%

88 20 0.1%

89 1 0.0%

89.59999847412 4 0.0%

22

69

89

11

22

79

79

48

42

58

21

-



90 37 0.2%

91 1 0.0%

92 8 0.1%

93 1 0.0%

93.19999694824 2 0.0%

93.27999877929 1 0.0%

93.40000152587 1 0.0%

94 1 0.0%

95 11 0.1%

96 9 0.1%

96.59999847412 1 0.0%

97 2 0.0%

97.19999694824 8 0.1%

98 2 0.0%

100 229 1.4%

100.5 1 0.0%

102 2 0.0%

103 1 0.0%

104 6 0.0%

104.9000015258 1 0.0%

105 6 0.0%

106 1 0.0%

106.4000015258 1 0.0%

107.5 1 0.0%

108 14 0.1%

110 16 0.1%

112 8 0.1%

112.6399993896 1 0.0%

114 3 0.0%

115 5 0.0%

115.1999969482 1 0.0%

116 4 0.0%

116.8000030517 1 0.0%

117 2 0.0%

120 156 1.0%

121.5999984741 1 0.0%

122 1 0.0%

124 4 0.0%

125 3 0.0%

126 2 0.0%

128 6 0.0%

130 30 0.2%

132 3 0.0%

58

58

16

55

84

16

84

58

-



134 1 0.0%

135 2 0.0%

136 1 0.0%

138 1 0.0%

140 68 0.4%

140.8000030517 1 0.0%

142 1 0.0%

144 7 0.0%

148 2 0.0%

149 1 0.0%

150 60 0.4%

150.8000030517 1 0.0%

151 1 0.0%

152 10 0.1%

153.6000061035 1 0.0%

156 1 0.0%

160 79 0.5%

164 4 0.0%

165 3 0.0%

166.0800018310 1 0.0%

166.3999938964 3 0.0%

167 1 0.0%

168 4 0.0%

170 16 0.1%

173.6000061035 1 0.0%

175 3 0.0%

179 1 0.0%

180 29 0.2%

184 2 0.0%

185 3 0.0%

188 2 0.0%

190 6 0.0%

192 4 0.0%

194 1 0.0%

194.3999938964 1 0.0%

195 1 0.0%

198 1 0.0%

200 145 0.9%

204 3 0.0%

205 2 0.0%

206 1 0.0%

206.8000030517 1 0.0%

208 4 0.0%

58

69

31

31

16

84

-



210 3 0.0%

212 3 0.0%

215 1 0.0%

217 1 0.0%

220 26 0.2%

224 3 0.0%

225 2 0.0%

228 4 0.0%

230 4 0.0%

232 3 0.0%

234 1 0.0%

235 1 0.0%

236.8000030517 1 0.0%

237 1 0.0%

240 49 0.3%

248 2 0.0%

250 7 0.0%

252 2 0.0%

256 4 0.0%

260 11 0.1%

264 3 0.0%

266 2 0.0%

268 2 0.0%

268.7999877929 1 0.0%

270 5 0.0%

272 1 0.0%

275.2000122070 1 0.0%

276 2 0.0%

280 44 0.3%

281 1 0.0%

281.2000122070 1 0.0%

281.6000061035 1 0.0%

284 1 0.0%

290 1 0.0%

293 1 0.0%

294 1 0.0%

294.3999938964 1 0.0%

300 40 0.3%

304 1 0.0%

305 1 0.0%

308 2 0.0%

310 1 0.0%

312 1 0.0%

84

16

-



316 1 0.0%

320 39 0.2%

325 1 0.0%

328 6 0.0%

330 1 0.0%

332 3 0.0%

335 1 0.0%

336 1 0.0%

340 17 0.1%

344 2 0.0%

348 2 0.0%

350 10 0.1%

352 5 0.0%

356 1 0.0%

358.3999938964 1 0.0%

360 17 0.1%

364 2 0.0%

366 1 0.0%

368 4 0.0%

370 4 0.0%

372 1 0.0%

374 1 0.0%

375 1 0.0%

380 16 0.1%

384 1 0.0%

388 1 0.0%

392 1 0.0%

396 1 0.0%

400 81 0.5%

408 1 0.0%

410 6 0.0%

420 12 0.1%

422 1 0.0%

422.1000061035 1 0.0%

424 2 0.0%

428 2 0.0%

440 21 0.1%

448 5 0.0%

450 4 0.0%

452 1 0.0%

456 1 0.0%

458 1 0.0%

460 6 0.0%

84

38

-



464 1 0.0%

468 2 0.0%

470 1 0.0%

473 1 0.0%

480 65 0.4%

486.3999938964 2 0.0%

490 3 0.0%

492 3 0.0%

496 1 0.0%

500 40 0.3%

504 2 0.0%

508 3 0.0%

512 4 0.0%

515 1 0.0%

516 1 0.0%

520 59 0.4%

522 1 0.0%

530 1 0.0%

532 3 0.0%

536 1 0.0%

540 15 0.1%

544 4 0.0%

548 3 0.0%

550 4 0.0%

552 2 0.0%

560 31 0.2%

570 1 0.0%

572 1 0.0%

576 1 0.0%

580 3 0.0%

582 1 0.0%

584 2 0.0%

588 2 0.0%

592 1 0.0%

596 1 0.0%

600 93 0.6%

603 1 0.0%

605.5999755859 1 0.0%

607 1 0.0%

608 1 0.0%

610 1 0.0%

612 4 0.0%

620 5 0.0%

62

-



624 2 0.0%

628 2 0.0%

630 1 0.0%

632 1 0.0%

636 1 0.0%

640 41 0.3%

648 3 0.0%

650 7 0.0%

652 6 0.0%

660 10 0.1%

664 1 0.0%

668 1 0.0%

670 1 0.0%

672 2 0.0%

674 1 0.0%

676 1 0.0%

680 35 0.2%

688 2 0.0%

696 2 0.0%

700 37 0.2%

706 1 0.0%

708 1 0.0%

710 2 0.0%

712 5 0.0%

720 33 0.2%

728 1 0.0%

730 1 0.0%

732 1 0.0%

740 3 0.0%

742.4000244140 1 0.0%

744 3 0.0%

749 1 0.0%

750 9 0.1%

754 1 0.0%

756 1 0.0%

760 10 0.1%

768 1 0.0%

780 6 0.0%

788 1 0.0%

792 1 0.0%

798 1 0.0%

800 73 0.5%

804 1 0.0%

62

-



808 1 0.0%

812 1 0.0%

820 9 0.1%

830 1 0.0%

832 1 0.0%

835 1 0.0%

836 1 0.0%

840 8 0.1%

845 1 0.0%

850 7 0.0%

852 1 0.0%

857 1 0.0%

860 3 0.0%

864 1 0.0%

870 1 0.0%

872 1 0.0%

877 1 0.0%

880 14 0.1%

884 1 0.0%

890 1 0.0%

896 9 0.1%

900 20 0.1%

908 1 0.0%

910 4 0.0%

912 1 0.0%

920 11 0.1%

922 1 0.0%

924 1 0.0%

928 1 0.0%

930 1 0.0%

932 1 0.0%

933.4000244140 1 0.0%

934 1 0.0%

940 4 0.0%

948 1 0.0%

950 2 0.0%

960 10 0.1%

964 1 0.0%

968 1 0.0%

970 2 0.0%

972 1 0.0%

980 6 0.0%

984 2 0.0%

62

-



998 1 0.0%

998.4000244140 1 0.0%

1000 62 0.4%

1012 1 0.0%

1014 1 0.0%

1015 1 0.0%

1016 1 0.0%

1020 3 0.0%

1024 10 0.1%

1025 1 0.0%

1027 1 0.0%

1030 2 0.0%

1032 1 0.0%

1040 13 0.1%

1044 1 0.0%

1050 3 0.0%

1060 3 0.0%

1064 1 0.0%

1075 1 0.0%

1080 6 0.0%

1088 2 0.0%

1099 1 0.0%

1100 9 0.1%

1108 1 0.0%

1120 9 0.1%

1128 1 0.0%

1130 2 0.0%

1135 1 0.0%

1140 3 0.0%

1150 1 0.0%

1152 2 0.0%

1160 3 0.0%

1170 1 0.0%

1180 1 0.0%

1190 1 0.0%

1192 2 0.0%

1200 57 0.4%

1209 1 0.0%

1212 1 0.0%

1220 3 0.0%

1240 2 0.0%

1244 1 0.0%

1250 2 0.0%

06

12

06

-



1260 2 0.0%

1272 1 0.0%

1280 15 0.1%

1300 18 0.1%

1318.400024414 1 0.0%

1320 4 0.0%

1344 1 0.0%

1348 1 0.0%

1350 1 0.0%

1360 1 0.0%

1368 1 0.0%

1370 1 0.0%

1388 1 0.0%

1395 1 0.0%

1400 12 0.1%

1400.800048828 1 0.0%

1430 1 0.0%

1440 3 0.0%

1450 1 0.0%

1480 2 0.0%

1500 13 0.1%

1512 1 0.0%

1520 5 0.0%

1530 1 0.0%

1536 2 0.0%

1552 1 0.0%

1560 1 0.0%

1600 18 0.1%

1610 1 0.0%

1680 2 0.0%

1700 2 0.0%

1720 1 0.0%

1800 2 0.0%

1840 1 0.0%

1854.400024414 1 0.0%

1860 1 0.0%

1920 2 0.0%

1956 1 0.0%

2000 9 0.1%

2032 1 0.0%

2048 1 0.0%

2100 1 0.0%

2160 1 0.0%

0581

116

464

232

929

536

464

164

-



2200 1 0.0%

2249 1 0.0%

2250 1 0.0%

2280 1 0.0%

2400 6 0.0%

2520 1 0.0%

2600 1 0.0%

2720 1 0.0%

2800 3 0.0%

2900 1 0.0%

3000 2 0.0%

3200 2 0.0%

3480 1 0.0%

3600 2 0.0%

4497.2001953125 1 0.0%

5600 1 0.0%

6000 1 0.0%

6200 1 0.0%

7720 1 0.0%

8000 1 0.0%

9047 1 0.0%

9600 1 0.0%

9888 don't know 41 0.3%

12000 1 0.0%

13970 1 0.0%

14400 1 0.0%

20800 1 0.0%


# e7_05: e7_05 According to current prices, what do you think you could get if you sold.[




0 6 0.0%

0.050000000745 15 0.1%

0.100000001490 100 0.6%

0.150000005960 7 0.0%

0.200000002980 157 1.0%

0.25 4 0.0%

0.300000011920 124 0.8%

0.349999994039 2 0.0%

0.400000005960 38 0.2%

0.479999989271 1 0.0%

929

858

071

929

142

14

72

28

14

86

72

28

72

57

43

57

28

72

57

28

14

57

14

43

86

14

-

File : harvest_module_e7_2012# e7_05: e7_05 According to current prices, what do you think you could get if you sold.[


0.5 708 4.5%

0.550000011920 1 0.0%

0.600000023841 21 0.1%

0.699999988079 30 0.2%

0.800000011920 49 0.3%

0.899999976158 3 0.0%

1 1139 7.2%

1.149999976158 1 0.0%

1.200000047683 10 0.1%

1.25 1 0.0%

1.299999952316 1 0.0%

1.399999976158 2 0.0%

1.5 178 1.1%

1.600000023841 5 0.0%

1.700000047683 1 0.0%

1.799999952316 1 0.0%

1.950000047683 1 0.0%

2 1474 9.3%

2.099999904632 1 0.0%

2.400000095367 3 0.0%

2.5 47 0.3%

2.599999904632 2 0.0%

2.799999952316 2 0.0%

3 1052 6.6%

3.200000047683 3 0.0%

3.5 29 0.2%

3.599999904632 1 0.0%

3.799999952316 3 0.0%

4 1038 6.5%

4.199999809265 1 0.0%

4.5 17 0.1%

5 1557 9.8%

5.099999904632 1 0.0%

5.199999809265 1 0.0%

5.5 5 0.0%

6 528 3.3%

6.25 1 0.0%

6.400000095367 5 0.0%

6.5 6 0.0%

6.800000190734 1 0.0%

7 265 1.7%

7.199999809265 1 0.0%

7.5 4 0.0%

57

62

27

27

97

27

73

82

49

03

95

97

21

-



7.599999904632 1 0.0%

7.679999828338 1 0.0%

8 466 2.9%

8.25 1 0.0%

8.399999618530 1 0.0%

8.5 1 0.0%

8.899999618530 1 0.0%

8.960000038146 1 0.0%

9 47 0.3%

9.399999618530 1 0.0%

9.5 1 0.0%

9.600000381469 1 0.0%

10 1346 8.5%

10.23999977111 3 0.0%

11 12 0.1%

12 195 1.2%

12.5 1 0.0%

12.80000019073 9 0.1%

13 28 0.2%

14 33 0.2%

15 337 2.1%

16 68 0.4%

17 20 0.1%

18 44 0.3%

18.39999961853 1 0.0%

19 1 0.0%

19.20000076293 7 0.0%

19.5 1 0.0%

20 798 5.0%

21 8 0.1%

22 9 0.1%

22.5 1 0.0%

23 2 0.0%

24 35 0.2%

24.5 1 0.0%

25 75 0.5%

25.60000038146 7 0.0%

26 9 0.1%

27 2 0.0%

28 18 0.1%

28.15999984741 1 0.0%

30 313 2.0%

31 1 0.0%

89

27

06

94

89

84

78

11

-



32 25 0.2%

33 2 0.0%

34 3 0.0%

35 29 0.2%

36 12 0.1%

36.5 1 0.0%

38.40000152587 4 0.0%

38.5 1 0.0%

40 429 2.7%

40.95999908447 1 0.0%

42 3 0.0%

44 5 0.0%

44.79999923706 1 0.0%

45 20 0.1%

46 2 0.0%

47 1 0.0%

48 14 0.1%

49 1 0.0%

50 239 1.5%

51.20000076293 1 0.0%

52 3 0.0%

54 2 0.0%

55 4 0.0%

56 5 0.0%

58 1 0.0%

60 155 1.0%

64 7 0.0%

65 2 0.0%

68 5 0.0%

70 61 0.4%

70.40000152587 1 0.0%

72 4 0.0%

75 6 0.0%

75.63999938964 1 0.0%

76 1 0.0%

76.80000305175 1 0.0%

80 208 1.3%

85 2 0.0%

89.59999847412 4 0.0%

90 11 0.1%

95 2 0.0%

100 188 1.2%

102 1 0.0%

79

42

16

84

16

84

-



102.4000015258 2 0.0%

104 1 0.0%

105 1 0.0%

108 1 0.0%

110 6 0.0%

115.1999969482 1 0.0%

120 117 0.7%

125 1 0.0%

128 7 0.0%

130 18 0.1%

136.5 1 0.0%

140 24 0.2%

147 1 0.0%

150 43 0.3%

153.6000061035 1 0.0%

160 53 0.3%

166.3999938964 1 0.0%

168 1 0.0%

170 4 0.0%

180 16 0.1%

190 1 0.0%

192 2 0.0%

200 183 1.2%

205 2 0.0%

210 3 0.0%

217.6000061035 1 0.0%

220 4 0.0%

224 1 0.0%

230 1 0.0%

230.3999938964 1 0.0%

240 56 0.4%

250 18 0.1%

256 6 0.0%

260 8 0.1%

268 1 0.0%

270 3 0.0%

272 1 0.0%

280 56 0.4%

285 1 0.0%

300 65 0.4%

308 1 0.0%

312 1 0.0%

320 95 0.6%

-



325 1 0.0%

330 1 0.0%

332 1 0.0%

340 4 0.0%

350 6 0.0%

360 26 0.2%

364 1 0.0%

370 1 0.0%

380 3 0.0%

384 4 0.0%

390 4 0.0%

400 214 1.3%

402 1 0.0%

408 1 0.0%

410 1 0.0%

420 7 0.0%

424 1 0.0%

430 1 0.0%

440 18 0.1%

448 3 0.0%

450 3 0.0%

455 2 0.0%

460 2 0.0%

470 1 0.0%

480 48 0.3%

496 1 0.0%

500 52 0.3%

512 4 0.0%

520 31 0.2%

540 4 0.0%

548 1 0.0%

550 3 0.0%

560 13 0.1%

570 2 0.0%

600 107 0.7%

610 1 0.0%

620 2 0.0%

630 1 0.0%

640 30 0.2%

650 12 0.1%

660 4 0.0%

665 1 0.0%

676 2 0.0%

- 100 -

38



680 13 0.1%

690 1 0.0%

700 31 0.2%

710 1 0.0%

720 18 0.1%

730 1 0.0%

740 4 0.0%

750 3 0.0%

755 1 0.0%

760 4 0.0%

768 2 0.0%

780 1 0.0%

793.5999755859 1 0.0%

800 85 0.5%

810 1 0.0%

820 1 0.0%

832 1 0.0%

840 2 0.0%

850 2 0.0%

880 4 0.0%

896 6 0.0%

900 19 0.1%

920 1 0.0%

930 1 0.0%

950 1 0.0%

960 2 0.0%

984 1 0.0%

990 1 0.0%

1000 63 0.4%

1005 1 0.0%

1020 2 0.0%

1024 1 0.0%

1030 1 0.0%

1040 5 0.0%

1080 2 0.0%

1088 1 0.0%

1100 5 0.0%

1120 4 0.0%

1128 1 0.0%

1140 1 0.0%

1180 1 0.0%

1200 32 0.2%

1220 1 0.0%

-



1240 1 0.0%

1244 1 0.0%

1280 7 0.0%

1300 6 0.0%

1308 1 0.0%

1320 1 0.0%

1400 4 0.0%

1470 1 0.0%

1500 8 0.1%

1520 1 0.0%

1550 1 0.0%

1600 6 0.0%

1640 1 0.0%

1750 1 0.0%

1800 2 0.0%

1880 1 0.0%

1950 1 0.0%

2000 4 0.0%

2070 1 0.0%

2100 1 0.0%

2200 2 0.0%

2400 1 0.0%

2600 1 0.0%

2800 1 0.0%

3000 2 0.0%

3200 2 0.0%

4000 1 0.0%

4470 1 0.0%

4600 1 0.0%

4650 1 0.0%

5080 1 0.0%

7920 1 0.0%

8000 1 0.0%

9888 don't know 13 0.1%

10000 1 0.0%

12000 1 0.0%


-




# e801: e8_01 items




1 Rice Farming 2100 7.1%

2 Vegetable Farming 2100 7.1%

3 Other Crops 2100 7.1%

4 Fishing 2100 7.1%

5 Daily or occasional wage 2100 7.1%

6 Monthly wage/ salary work 2100 7.1%

7 Self-employment/own (Net profit) business 2100 7.1%

8 Sale of land / other assets 2100 7.1%

9 Remittances 2100 7.1%

10 Gifts /inheritance 2100 7.1%

11 Sale of Livestock (all kinds) and sub-products (all kinds) 2100 7.1%

12 Non timbers forest products 2100 7.1%

13 Pensions 2100 7.1%


# e802: e8_02 Did anyone in the household receive cash or in-kind income from any of the




1 yes 9990 34.0%

2 no 19410 66.0%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# e803: e8_03 If yes, how many household members received income from sources?




1 2520 25.2%

2 4227 42.3%

3 1710 17.1%

4 903 9.0%

5 383 3.8%

6 165 1.7%

7 56 0.6%

8 21 0.2%

9 1 0.0%

10 1 0.0%

-

File : harvest_module_e8_2012# e803: e8_03 If yes, how many household members received income from sources?


11 3 0.0%


# e804: e8_04 What is the estimated total income from the past 12 months? ('0000 Riel)



-

File : harvest_module_f_2012# a01: a01 household id



# f01: f01 In the past [4 weeks/30 days] was there ever no food to eat of any kind in y




1 yes 10 0.5%


# f02: f02 How often did this happen in the past [4 weeks/30 days]?




1 Rarely (1-2 times) 3 30.0%

2 Sometimes (3-10 times) 5 50.0%

3 Often (more than 10 times) 2 20.0%


# f03: f03 In the past [4 weeks/30 days] did you or any household member go to sleep at




1 yes 9 0.4%


# f04: f04 How often did this happen in the past [4 weeks/30 days]?




1 Rarely (1-2 times) 2 22.2%




# f05: f05 In the past [4 weeks/30 days] did you or any household member go a whole da




1 yes 12 0.6%


-

File : harvest_module_f_2012# f06: f06 How often did this happen in the past [4 weeks/30 days]?





1 Rarely (1-2 times) 1 8.3%



Sysmiss 2088

-

File : harvest_module_g1_1_2012# a01: a01 household id



# g1_1_02: respondent's ID from Mudule C



46.5%

49.0%


# g1_1_03: g1_1_03 Sex of respondent




1 Male 788 37.6%

2 Female 1310 62.4%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# g1_1_04: g1_1_04 Type of household




1 Male and female adult 2003 95.5%

2 Female adult only 95 4.5%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# g1_1_05: g1_1_05 Outcome of interview




1 Completed 2098 100.0%

2 Incompleted 0

3 Absent 0

4 Refused 0

5 Cound not locate 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# g1_1_06: g1_1_06 Ability to be interviewed alone




1 975

2 1028

3 52 2.5%

4 36 1.7%

5 4 0.2%

6 2 0.1%

7 1 0.0%

-

File : harvest_module_g1_1_2012# g1_1_06: g1_1_06 Ability to be interviewed alone



1 Alone 1663 79.3%

2 With adult females present 0

3 With adult males present 0

4 With adults mixed sex present 0

5 With children present 435 20.7%

6 With adults mixed sex and children present 0

-




# g1_2_01: g1_2_01 items




1 Food crop farming: crops that are grown primarily for household 2100 16.7%food consumption

2 Cash crop farming: crops that are grown primary for sale in the 2100 16.7%market

3 Livestock raising 2100 16.7%

4 Non-farm economic activities: Small business, self-employment, 2100 16.7%buy-and-sell

5 Wage and salary employment: in-kind or monetary work both 2100 16.7%agriculture and other wage work

6 Fishing or fishpond culture 2100 16.7%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# g1_2_02: g1_2_02 Did you (singular) participate in [ACTIVITY] in the past 12 months (that




1 Yes 7802 62.0%

2 No 4786 38.0%

98 Don't know 0


# g1_2_03: g1_2_03 How much input did you have in making decisions about [ACTIVITY]?




1 No input 85 1.1%

2 Input into very few decisions 892 11.4%

3 Input into some decisions 2607 33.4%

4 Input into most decisions 2477 31.7%

5 Input into all decisions 1739 22.3%

6 Not Applicable 2 0.0%


# g1_2_04: g1_2_04 How much input did you have in decisions on the use of income generated



-

File : harvest_module_g1_2_2012# g1_2_04: g1_2_04 How much input did you have in decisions on the use of income generated



1 No input 63 0.8%






Sysmiss 4798

-

File : harvest_module_g1_3a_2012# a01: a01 household id



# g1_3a_00: g1_3a_00 items




1 Agricultural land (pieces/plots) 2100 7.1%

2 Large livestock (oxen, cattle) 2100 7.1%

3 Small livestock (goats, pigs, sheep) 2100 7.1%

4 Chickens, Ducks, Turkeys, Pigeons 2100 7.1%

5 Fish pond or fishing equipment 2100 7.1%

6 Farm equipment (non-mechanized) 2100 7.1%

7 Farm equipment (mechanized) 2100 7.1%

8 Nonfarm business equipment 2100 7.1%

9 House (and other structures) 2100 7.1%

10 Large consumer durables (fridge, TV, sofa) 2100 7.1%

11 Small consumer durables (radio, cookware) 2100 7.1%

12 Cell phone 2100 7.1%

13 Other land not used for agricultural purposes (pieces, residential or 2100 7.1%commercial land)

14 Means of transportation (bicycle, motorcycle, car) 2100 7.1%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# g1_3a_01a: g1_3a_01a Does anyone in your household currently have any [ITEM]?




1 Yes 18731 63.8%

2 No 10641 36.2%


# g1_3a_01b: g1_3a_01b How many of [ITEM] does your household currently have?



# g1_3a_02: g1_3a_02 Who would you say owns most of the [ITEM]?




1 Self 2398 12.8%

2 Partner/Spouse 1119 6.0%

3 Self and partner/spouse jointly 10132 54.1%

4 Other household member 799 4.3%

-

5 Self and other household member(s) 2627 14.0%

-

File : harvest_module_g1_3a_2012# g1_3a_02: g1_3a_02 Who would you say owns most of the [ITEM]?


6 Partner/Spouse and other household member(s)…. 590 3.1%

7 Someone (or group of people) outside the household 115 0.6%

8 Self and other outside people 52 0.3%

9 Partner/Spouse and other outside people 24 0.1%

10 Self, partner/spouse and other outside people 307 1.6%

11 Mother 210 1.1%

12 Father 63 0.3%

13 Parents 295 1.6%


# g1_3a_03: g1_3a_03 Who would you say can decide whether to sell [ITEM] most of the time?




1 Self 1438 16.3%










11 Mother 125 1.4%

12 Father 39 0.4%

13 Parents 161 1.8%


# g1_3a_04: g1_3a_04 Who would you say can decide whether to give away [ITEM] most of the ti




1 Self 1288 14.6%









-

File : harvest_module_g1_3a_2012# g1_3a_04: g1_3a_04 Who would you say can decide whether to give away [ITEM] most of the ti



11 Mother 121 1.4%

12 Father 40 0.5%

13 Parents 167 1.9%


# g1_3a_05: g1_3a_05 Who would you say can decide to mortgage or share or rent out [ITEM] m




1 Self 1279 14.5%










11 Mother 122 1.4%

12 Father 39 0.4%

13 Parents 167 1.9%


# g1_3a_06: g1_3a_06 Who contributes most to decisions regarding a new purchase of [ITEM]?




1 Self 1427 16.2%










11 Mother 93 1.1%

12 Father 31 0.4%

13 Parents 149 1.7%

-

File : harvest_module_g1_3a_2012# g1_3a_06: g1_3a_06 Who contributes most to decisions regarding a new purchase of [ITEM]?



-

File : harvest_module_g1_3b_2012# a01: a01 Household ID



# g1_3b_00: g1_3b_00 items




1 Non-governmental organization (NGO) 2100 20.0%

2 Informal lender 2100 20.0%

3 Formal lender (bank/financial institution) 2100 20.0%

4 Friends or relatives 2100 20.0%

5 Group based micro-finance or lending (e.g. saving group) 2100 20.0%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# g1_3b_01: g1_3b_01 Has anyone in your household taken any loans or borrowed cash/in-kind f




1 Yes, cash 1938 18.5%

2 Yes, in-kind 44 0.4%

3 Yes, cash and in-kind 15 0.1%

4 No 8493 81.0%

5 Don't know 0


# g1_3b_02: g1_3b_02 Who made the decision to borrow from [SOURCE]?




1 Self 300 15.0%







8 Self and other outside people 0

9 Partner/Spouse and other outside people 0


11 Mother 20 1.0%

12 Father 2 0.1%

13 Parents 25 1.3%


File : harvest_module_g1_3b_2012# g1_3b_03: g1_3b_03 Who makes the decision about what to do with the money/ item borrow fro


[Type= discrete] [Format=numeric] [Range= 1-13] [Missing=*][Valid=1997 /-] [Invalid=8503 /-]


-


1 Self 238 11.9%










11 Mother 12 0.6%

12 Father 3 0.2%

13 Parents 25 1.3%

Sysmiss 8503

-




# g1_4_00: g1_4_00 items




1 Agricultural / livestock/ fisheries producer’s group (including 2100 9.1%marketing groups)

2 Water users’ group 2100 9.1%

3 Forest users’ group 2100 9.1%

4 Credit or microfinance group (e.g. saving group) 2100 9.1%

5 Mutual help or insurance group (including burial societies) 2100 9.1%

6 Trade and business association 2100 9.1%

7 Civic groups (improving community) or charitable group (helping 2100 9.1%others)

8 Local government (example, commune council, any committee 2100 9.1%under the commune council, etc)

9 Religious group (example, pagoda group) 2100 9.1%

10 Other women’s group (only if it does not fit into one of the other 2100 9.1%categories)


# g1_4_01: g1_4_01 Is there a [GROUP] in your community?




1 Yes 7843 34.0%

2 No 15235 66.0%


# g1_4_02: g1_4_02 Are you an active member of this [GROUP]?




1 Yes 4881 62.2%

2 No 2962 37.8%


# g1_4_03: g1_4_03 How much input do you have in making decisions in this [GROUP]?



File : harvest_module_g1_4_2012# g1_4_03: g1_4_03 How much input do you have in making decisions in this [GROUP]?


# g1_4_04: g1_4_04 Why are you not a member of this [GROUP]?InformationStatistics [NW/ W]



-


1 No input 203 4.2%





Sysmiss 18219


1 Not interested 915 30.9%

2 No time 535 18.1%

3 Unable to raise entrance fees 97 3.3%

4 Unable to raise reoccurring fees 83 2.8%

5 Group meeting location not convenient 12 0.4%

6 Family dispute/unable to join 36 1.2%

7 Not allowed because of sex 313 10.6%

8 Not allowed because of other reason 908 30.7%

9 Other, specify 63 2.1%

Sysmiss 20138

-




# g1_5_00: g1_5_00 items




1 Getting inputs for agricultural production 2100 12.5%

2 The types of crops to grow for agricultural production 2100 12.5%

3 Taking crops to the market (or not) 2100 12.5%


5 Fishing or fishpond culture 2100 12.5%

6 Your own (singular) wage or salary employment 2100 12.5%

7 Major household expenditures (such as a large appliance for the 2100 12.5%house like refrigerator)

8 Minor household expenditures (such as food for daily consumption 2100 12.5%or other household needs)


# g1_5_01: g1_5_01 When decisions are made regarding the following aspects of household li




1 Main male or husband 2399 14.3%

2 Main female or wife 4806 28.6%

3 Husband and wife jointly 5132 30.6%

4 Someone else in the household 468 2.8%

5 Jointly with someone else inside the household 1062 6.3%

6 Jointly with someone else outside the household 6 0.0%

7 Someone outside the household/other 2 0.0%

8 Mother 97 0.6%

9 Father 36 0.2%

10 Parents 135 0.8%

98 Household does not engage in activity/Decision not made 2641 15.7%


# g1_5_02: g1_5_02 To what extent do you feel you can make your own personal decisions reg




1 Not at all 370 4.0%

2 Small extent 2586 27.9%

3 Medium extent 5402 58.3%

4 To a high extent 905 9.8%

-

File : harvest_module_g1_5_2012# g1_5_02: g1_5_02 To what extent do you feel you can make your own personal decisions reg



-

File : harvest_module_g1_5_continue_2012# a01: a01 Household ID



# g1_5b_00: g1_5b_00 items









# g1_5_04: g1_5_04 My actions in [ASPECT] are partly because I will get in trouble with som




1 Never true 6087 58.0%

2 Not very true 1353 12.9%

3 Somewhat true 746 7.1%

4 Always true 157 1.5%



# g1_5_05: g1_5_05 Regarding [ASPECT] I do what I do so others don’t think poorly of me




1 Never true 5570 66.8%




98 Household does not engage in activity/Decision not made 0


# g1_5_06: g1_5_06 Regarding [ASPECT] I do what I do because I personally think it is the r




1 Never true 36 0.4%



-

File : harvest_module_g1_5_continue_2012# g1_5_06: g1_5_06 Regarding [ASPECT] I do what I do because I personally think it is the r





-




# g1_6_04h00_1: g1_6_04h00_1 Time allocation from 04:00h-04:29h_Primary activity




1 Sleeping and resting 1607 76.6%

2 Eating and drinking 1 0.0%

3 Personal care 148 7.1%

4 School (also homework) 0

5 Work as employed 2 0.1%

6 Own business work 43 2.0%

7 Farming/livestock/fishing 84 4.0%

8 Shopping/getting service (incl health services) 3 0.1%

9 Weaving, sewing, textile care 7 0.3%

10 Cooking 66 3.1%

11 Domestic work (incl fetching wood and water) 55 2.6%

12 Care for children/adults/elderly 19 0.9%

13 Travelling and communiting 3 0.1%

14 Watching TV/listening to radio/reading 15 0.7%

15 Exercising 11 0.5%

16 Social activities and hobbies 8 0.4%

17 Religious activities 22 1.0%



# g1_6_04h30_1: g1_6_04h30_1 Time allocation from 04h-04:29h_Primary activity













10 Cooking 90 4.3%



-


-

File : harvest_module_g1_6_2012# g1_6_04h30_1: g1_6_04h30_1 Time allocation from 04h-04:29h_Primary activity





















10 Cooking 183 8.7%

















4 School (also homework) 3 0.1%




-





10 Cooking 216 10.3%























10 Cooking 171 8.2%















-











10 Cooking 138 6.6%























10 Cooking 110 5.2%





15 Exercising 0





-





1 Sleeping and resting 75 3.6%2 Eating and drinking 198 9.4%








10 Cooking 103 4.9%























10 Cooking 107 5.1%







-

File : harvest_module_g1_6_2012# g1_6_08h00_1: g1_6_08h00_1 Time allocation from 08:30h-08:59h_Primary activity


















10 Cooking 117 5.6%























10 Cooking 172 8.2%

-

























10 Cooking 185 8.8%


















-








10 Cooking 201 9.6%























10 Cooking 208 9.9%












-













10 Cooking 179 8.5%





15 Exercising 0


















10 Cooking 95 4.5%








-


















10 Cooking 15 0.7%























10 Cooking 9 0.4%


-
























10 Cooking 7 0.3%



















-







10 Cooking 4 0.2%























10 Cooking 7 0.3%













-












10 Cooking 6 0.3%























10 Cooking 43 2.0%









-

















10 Cooking 47 2.2%























10 Cooking 305 14.5%



-























10 Cooking 322 15.3%




















-



7.0%

18.4%

7 Farming/livestock/fishing 356 1



10 Cooking 385





15 Exercising 0


















10 Cooking 340 16.2%













-












10 Cooking 125 6.0%























10 Cooking 54 2.6%









-

















10 Cooking 13 0.6%























10 Cooking 9 0.4%



-























10 Cooking 4 0.2%




















-






10 Cooking 4 0.2%

























8 Shopping/getting service (incl health services) 0

9 Weaving, sewing, textile care 0

10 Cooking 0









-












10 Cooking 0





15 Exercising 0


















10 Cooking 0

11 Domestic work (incl fetching wood and water) 0


13 Travelling and communiting 0


15 Exercising 0


17 Religious activities 0


-

















6 Own business work 0




10 Cooking 0





15 Exercising 0




Sysmiss 2



2 Eating and drinking 0

3 Personal care 0







10 Cooking 0



-





15 Exercising 0

16 Social activities and hobbies 0










3 Personal care 0







10 Cooking 0





15 Exercising 0











3 Personal care 0




-











10 Cooking 0





15 Exercising 0




Sysmiss 2

-





3 Personal care 0







10 Cooking 0





15 Exercising 0











3 Personal care 0







10 Cooking 0





15 Exercising 0




-










3 Personal care 0







10 Cooking 0





15 Exercising 0











3 Personal care 0







10 Cooking 0



-




14 Watching TV/listening to radio/reading 0

15 Exercising 0


















10 Cooking 2 0.1%





15 Exercising 0











3 Personal care 0




-






10 Cooking 3 0.1%





15 Exercising 0





# g1_6_04h00_2: g1_6_04h00_2 Time allocation from 04:00h-04:29h_Second activity





1 Sleeping and resting 0




5 Work as employed 0


7 Farming/livestock/fishing 0



10 Cooking 3 17.6%





15 Exercising 0



18 Other, specify 0

Sysmiss 2083

-

# g1_6_04h30_2: g1_6_04h30_2 Time allocation from 04h-04:29h_Second activity













10 Cooking 5 17.9%








18 Other, specify 0















10 Cooking 12 24.0%





15 Exercising 0



18 Other, specify 0

-

















10 Cooking 6 13.0%





15 Exercising 0



18 Other, specify 0















10 Cooking 2 4.1%





-



15 Exercising 0



18 Other, specify 0















10 Cooking 3 8.1%





15 Exercising 0



18 Other, specify 0















10 Cooking 2 4.1%

-







15 Exercising 0



18 Other, specify 0















10 Cooking 1 3.8%





15 Exercising 0



18 Other, specify 0












-






10 Cooking 1 2.9%





15 Exercising 0



18 Other, specify 0








3 Personal care 0







10 Cooking 1 3.8%





15 Exercising 0



18 Other, specify 0








-



3 Personal care 0







10 Cooking 5 13.9%





15 Exercising 0



18 Other, specify 0








3 Personal care 0







10 Cooking 4 15.4%





15 Exercising 0



18 Other, specify 0




-













10 Cooking 4 13.3%





15 Exercising 0



18 Other, specify 0















10 Cooking 5 17.9%





15 Exercising 0



18 Other, specify 0

Sysmiss 2072

-

# g1_6_10h30_2: g1_6_10h30_2 Time allocation from 10h-10:29h_Second activityWarning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.














10 Cooking 7 13.2%





15 Exercising 0



18 Other, specify 0















10 Cooking 6 15.4%





15 Exercising 0


-




18 Other, specify 0















10 Cooking 1 2.6%





15 Exercising 0



18 Other, specify 0















10 Cooking 0



-





15 Exercising 0


















10 Cooking 1 4.0%





15 Exercising 0



18 Other, specify 0








3 Personal care 0






-




10 Cooking 0





15 Exercising 0



18 Other, specify 0















10 Cooking 0





15 Exercising 0



18 Other, specify 0










-








10 Cooking 1 4.0%





15 Exercising 0



18 Other, specify 0








3 Personal care 0







10 Cooking 1 5.6%





15 Exercising 0



18 Other, specify 0





-





3 Personal care 0







10 Cooking 2 11.1%





15 Exercising 0



18 Other, specify 0















10 Cooking 8 25.8%





15 Exercising 0



18 Other, specify 0


-














10 Cooking 8 17.8%





15 Exercising 0



18 Other, specify 0















10 Cooking 14 17.9%





15 Exercising 0



18 Other, specify 0

-

















10 Cooking 14 17.1%





15 Exercising 0



18 Other, specify 0















10 Cooking 4 5.6%





-



15 Exercising 0



18 Other, specify 0















10 Cooking 3 5.7%








18 Other, specify 0















10 Cooking 0

-

























10 Cooking 0








18 Other, specify 0








3 Personal care 0




-






10 Cooking 0





15 Exercising 0



18 Other, specify 0








3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0








-










10 Cooking 0





15 Exercising 0



18 Other, specify 0








3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0




-






3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0








3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0

Sysmiss 2097

-












3 Personal care 0







10 Cooking 0


12 Care for children/adults/elderly 0



15 Exercising 0



18 Other, specify 0

Sysmiss 2099




3 Personal care 0







10 Cooking 0





15 Exercising 0


-




3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0

Sysmiss 2099




3 Personal care 0







10 Cooking 0


-


-




3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0

Sysmiss 2100




3 Personal care 0





-


-




3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0

Sysmiss 2100




3 Personal care 0

-


-




3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0

Sysmiss 2097


# g1_6_02: g1_6_02 How satisfied are you with your available time for leisure activities liInformationStatistics [NW/ W]



-




3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0

Sysmiss 2097


1 Not satisfied 14 0.7%

2 34 1.6%

3 91 4.3%

4 132 6.3%

5 Middle 650 31.0%

6 271 12.9%

7 278 13.3%

8 245 11.7%

9 124 5.9%

10 Very satisfied 259 12.3%

Sysmiss 2

-




# g2_1_02: respondent's ID from Mudule C




1 1010 50.4%

2 841 42.0%

3 74 3.7%

4 51 2.5%

5 17 0.8%

6 5 0.2%

7 2 0.1%

8 1 0.0%

9 1 0.0%


# g2_1_03: g2_1_03 Sex of respondent




1 Male 1215 60.7%


# g2_1_04: g2_1_04 Type of household




1 Male and female adult 2003 100.0%

2 Female adult only 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# g2_1_05: g2_1_05 Outcome of interview




1 Completed 1716 85.7%

2 Incompleted 2 0.1%

3 Absent 161 8.0%

4 Refused 6 0.3%

5 Could not locate 118 5.9%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

-

File : harvest_module_g2_1_2012# g2_1_06: g2_1_06 Ability to be interviewed alone





1 Alone 1477 86.1%

2 With adult females present 0

3 With adult males present 0

4 With adults mixed sex present 0

5 With children present 239 13.9%

6 With adults mixed sex and children present 0

Sysmiss 287

-




# g2_2_01: g2_2_01 items




1 Food crop farming: crops that are grown primarily for household 2100 16.7%food consumption

2 Cash crop farming: crops that are grown primary for sale in the 2100 16.7%market


4 Non-farm economic activities: Small business, self-employment, 2100 16.7%buy-and-sell

5 Wage and salary employment: in-kind or monetary work both 2100 16.7%agriculture and other wage work


# g2_2_02: g2_2_02 Did you (singular) participate in [ACTIVITY] in the past 12 months (that




1 Yes 6535 63.5%

2 No 3761 36.5%

98 Don't know 0


# g2_2_03: g2_2_03 How much input did you have in making decisions about [ACTIVITY]?




1 No input 71 1.1%







# g2_2_04: g2_2_04 How much input did you have in decisions on the use of income generated



-

File : harvest_module_g2_2_2012# g2_2_04: g2_2_04 How much input did you have in decisions on the use of income generated



1 No input 66 1.0%






Sysmiss 6065

-

File : harvest_module_g2_3a_2012# a01: a01 household id



# g2_3a_00: g2_3a_00 items




1 Agricultural land (pieces/plots) 2100 7.1%

2 Large livestock (oxen, cattle) 2100 7.1%

3 Small livestock (goats, pigs, sheep) 2100 7.1%

4 Chickens, Ducks, Turkeys, Pigeons 2100 7.1%

5 Fish pond or fishing equipment 2100 7.1%

6 Farm equipment (non-mechanized) 2100 7.1%

7 Farm equipment (mechanized) 2100 7.1%

8 Nonfarm business equipment 2100 7.1%

9 House (and other structures) 2100 7.1%

10 Large consumer durables (fridge, TV, sofa) 2100 7.1%

11 Small consumer durables (radio, cookware) 2100 7.1%

12 Cell phone 2100 7.1%

13 Other land not used for agricultural purposes (pieces, residential or 2100 7.1%commercial land)

14 Means of transportation (bicycle, motorcycle, car) 2100 7.1%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# g2_3a_01a: g2_3a_01a Does anyone in your household currently have any [ITEM]?




1 Yes 15611 65.0%

2 No 8413 35.0%


# g2_3a_01b: g2_3a_01b How many of [ITEM] does your household currently have?



# g2_3a_02: g2_3a_02 Who would you say owns most of the [ITEM]?




1 Self 1151 7.4%




-


-

File : harvest_module_g2_3a_2012# g2_3a_02: g2_3a_02 Who would you say owns most of the [ITEM]?







11 Mother 321 2.1%

12 Father 78 0.5%

13 Parents 262 1.7%


# g2_3a_03: g2_3a_03 Who would you say can decide whether to sell [ITEM] most of the time?




1 Self 772 10.4%










11 Mother 158 2.1%

12 Father 44 0.6%

13 Parents 141 1.9%


# g2_3a_04: g2_3a_04 Who would you say can decide whether to give away [ITEM] most of the ti




1 Self 684 9.2%









-

File : harvest_module_g2_3a_2012# g2_3a_04: g2_3a_04 Who would you say can decide whether to give away [ITEM] most of the ti



11 Mother 160 2.2%

12 Father 42 0.6%

13 Parents 145 1.9%


# g2_3a_05: g2_3a_05 Who would you say can decide to mortgage or share or rent out [ITEM] m




1 Self 676 9.1%










11 Mother 157 2.1%

12 Father 43 0.6%

13 Parents 143 1.9%


# g2_3a_06: g2_3a_06 Who contributes most to decisions regarding a new purchase of [ITEM]?




1 Self 748 10.1%










11 Mother 142 1.9%

12 Father 36 0.5%

13 Parents 122 1.6%

-

File : harvest_module_g2_3a_2012# g2_3a_06: g2_3a_06 Who contributes most to decisions regarding a new purchase of [ITEM]?



-

File : harvest_module_g2_3b_2012# a01: a01 Household ID



# g2_3b_00: g2_3b_00 items




1 Non-governmental organization (NGO) 2100 20.0%

2 Informal lender 2100 20.0%

3 Formal lender (bank/financial institution) 2100 20.0%

4 Friends or relatives 2100 20.0%

5 Group based micro-finance or lending (e.g. saving group) 2100 20.0%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# g2_3b_01: g2_3b_01 Has anyone in your household taken any loans or borrowed cash/in-kind f




1 Yes, cash 1570 18.3%

2 Yes, in-kind 35 0.4%

3 Yes, cash and in-kind 10 0.1%

4 No 6958 81.1%

5 Don't know 7 0.1%


# g2_3b_02: g2_3b_02 Who made the decision to borrow from [SOURCE]?




1 Self 145 9.0%






7 Someone (or group of people) outside the household 0




11 Mother 35 2.2%

12 Father 5 0.3%

13 Parents 27 1.7%


File : harvest_module_g2_3b_2012# g2_3b_03: g2_3b_03 Who makes the decision about what to do with the money/ item borrow fro




-


1 Self 92 5.7%









10 Self, partner/spouse and other outside people 0

11 Mother 32 2.0%

12 Father 4 0.2%

13 Parents 26 1.6%

Sysmiss 8885

-




# g2_4_00: g2_4_00 items




1 Agricultural / livestock/ fisheries producer’s group (including 2100 9.1%marketing groups)

2 Water users’ group 2100 9.1%

3 Forest users’ group 2100 9.1%

4 Credit or microfinance group (e.g. saving group) 2100 9.1%

5 Mutual help or insurance group (including burial societies) 2100 9.1%

6 Trade and business association 2100 9.1%

7 Civic groups (improving community) or charitable group (helping 2100 9.1%others)

8 Local government (example, commune council, any committee 2100 9.1%under the commune council, etc)

9 Religious group (example, pagoda group) 2100 9.1%

10 Other women’s group (only if it does not fit into one of the other 2100 9.1%categories)


# g2_4_01: g2_4_01 Is there a [GROUP] in your community?




1 Yes 6315 33.5%

2 No 12561 66.5%


# g2_4_02: g2_4_02 Are you an active member of this [GROUP]?




1 Yes 3871 61.3%

2 No 2444 38.7%


# g2_4_03: g2_4_03 How much input do you have in making decisions in this [GROUP]?



File : harvest_module_g2_4_2012# g2_4_03: g2_4_03 How much input do you have in making decisions in this [GROUP]?


# g2_4_04: g2_4_04 Why are you not a member of this [GROUP]?InformationStatistics [NW/ W]



-


1 No input 141 3.6%





Sysmiss 19229


1 Not interested 777 31.8%

2 No time 435 17.8%

3 Unable to raise entrance fees 69 2.8%

4 Unable to raise reoccurring fees 70 2.9%

5 Group meeting location not convenient 5 0.2%

6 Family dispute/unable to join 24 1.0%

7 Not allowed because of sex 181 7.4%

8 Not allowed because of other reason 826 33.8%


Sysmiss 20656

-




# g2_5_00: g2_5_00 items








5 Fishing or fishpond culture 2100 12.5%

6 Your own (singular) wage or salary employment 2100 12.5%

7 Major household expenditures (such as a large appliance for the house like refrigerator)

8 Minor household expenditures (such as food for daily consumption or other household needs)

2100 12.5%

2100 12.5%


# g2_5_01: g2_5_01 When decisions are made regarding the following aspects of household lif




1 Main male or husband 2193 16.0%

2 Main female or wife 3220 23.5%

3 Husband and wife jointly 4687 34.1%

4 Someone else in the household 392 2.9%

5 Jointly with someone else inside the household 735 5.4%

6 Jointly with someone else outside the household 5 0.0%

7 Someone outside the household/other 0

8 Mother 227 1.7%

9 Father 51 0.4%

10 Parents 121 0.9%



# g2_5_02: g2_5_02 To what extent do you feel you can make your own personal decisions rega




1 Not at all 502 5.8%

2 Small extent 2738 31.6%

3 Medium extent 4726 54.6%

4 To a high extent 691 8.0%

-

File : harvest_module_g2_5_2012# g2_5_02: g2_5_02 To what extent do you feel you can make your own personal decisions rega



-

File : harvest_module_g2_5 continue_2012# a01: a01 Household ID



# g2_5b_00: g2_5b_00 items









# g2_5_04: g2_5_04 My actions in [ASPECT] are partly because I will get in trouble with som




1 Never true 5060 59.0%






# g2_5_05: g2_5_05 Regarding [ASPECT] I do what I do so others don’t think poorly of me




1 Never true 4738 68.9%






# g2_5_06: g2_5_06 Regarding [ASPECT] I do what I do because I personally think it is the r




1 Never true 33 0.5%



-

File : harvest_module_g2_5 continue_2012# g2_5_06: g2_5_06 Regarding [ASPECT] I do what I do because I personally think it is the r





# hh_weight: Weight at HH level

Information [Type= continuous] [Format=numeric] [Range= 0.834754824638367-1.13992536067963] [Missing=*]

Statistics [NW/ W] [Valid=10500 /-] [Invalid=0 /-] [Mean=1 /-] [StdDev=0.128 /-]

-

















10 Cooking 33 1.9%























10 Cooking 58 3.4%



-


-


























10 Cooking 101 5.9%









Sysmiss 384

Value Label Cases

123.1%

Sleeping and resting 396

24.0%

Eating and drinking 69

311.0%

Personal care 189

40.1%

School (also homework) 2

50.4%

Work as employed 7

64.2%

Own business work 72

723.4%

Farming/livestock/fishing 401

-





10 Cooking 112 6.5%























10 Cooking 79 4.6%















-











10 Cooking 87 5.1%























10 Cooking 56 3.3%










-














10 Cooking 57 3.3%























10 Cooking 56 3.3%







-



















10 Cooking 57 3.3%























10 Cooking 94 5.5%

-

























10 Cooking 94 5.5%


















-








10 Cooking 114 6.6%


























10 Cooking 107 6.2%









Sysmiss 384

- 200 -













10 Cooking 83 4.8%























10 Cooking 46 2.7%








-


















10 Cooking 15 0.9%























10 Cooking 5 0.3%


-
























10 Cooking 5 0.3%



















-







10 Cooking 7 0.4%























10 Cooking 9 0.5%













-












10 Cooking 11 0.6%























10 Cooking 18 1.0%









-

















10 Cooking 26 1.5%























10 Cooking 163 9.5%



-























10 Cooking 186 10.8%




















-






10 Cooking 212 12.4%























10 Cooking 181 10.5%













-












10 Cooking 72 4.2%























10 Cooking 30 1.7%









-

















10 Cooking 7 0.4%























10 Cooking 7 0.4%



-























10 Cooking 3 0.2%




















-






10 Cooking 1 0.1%























10 Cooking 1 0.1%













-












10 Cooking 1 0.1%























10 Cooking 0





15 Exercising 0




-






















10 Cooking 0





15 Exercising 0














10 Cooking 0


-





15 Exercising 0


















10 Cooking 0





15 Exercising 0








0.2%




3 Personal care 0




-






10 Cooking 0





15 Exercising 0











3 Personal care 0







10 Cooking 0





15 Exercising 0








-





3 Personal care 0







10 Cooking 0





15 Exercising 0








0.1%




3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 1

-











0.2%




3 Personal care 0







10 Cooking 0





15 Exercising 0




Sysmiss 384




3 Personal care 0







10 Cooking 0



-





15 Exercising 0


















10 Cooking 0





15 Exercising 0








0.3%








-






10 Cooking 0





15 Exercising 0



















10 Cooking 5 25.0%





15 Exercising 0



18 Other, specify 0

Sysmiss 2080

-














10 Cooking 0





15 Exercising 0



18 Other, specify 0















10 Cooking 3 10.7%





15 Exercising 0



18 Other, specify 0

-

















10 Cooking 6 21.4%





15 Exercising 0



18 Other, specify 0















10 Cooking 6 15.4%





-



15 Exercising 0



18 Other, specify 0















10 Cooking 2 8.0%





15 Exercising 0



18 Other, specify 0








3 Personal care 0







10 Cooking 1 3.8%

-







15 Exercising 0



18 Other, specify 0








3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0












-






10 Cooking 0





15 Exercising 0



18 Other, specify 0















10 Cooking 0





15 Exercising 0



18 Other, specify 0








-



3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0








3 Personal care 0







10 Cooking 1 7.1%





15 Exercising 0



18 Other, specify 0




-













10 Cooking 1 5.9%





15 Exercising 0



18 Other, specify 0








3 Personal care 0







10 Cooking 1 8.3%





15 Exercising 0



18 Other, specify 0

Sysmiss 2088

-















10 Cooking 4 8.5%





15 Exercising 0



18 Other, specify 0















10 Cooking 4 11.4%





15 Exercising 0


-




18 Other, specify 0















10 Cooking 1 3.8%





15 Exercising 0



18 Other, specify 0















10 Cooking 1 5.0%



-





15 Exercising 0



18 Other, specify 0















10 Cooking 0





15 Exercising 0



18 Other, specify 0








3 Personal care 0






-











10 Cooking 0





15 Exercising 0



18 Other, specify 0

Sysmiss 2089




3 Personal care 0


-




3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0

Sysmiss 2094

-





3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0















10 Cooking 2 11.1%





15 Exercising 0



18 Other, specify 0


-














10 Cooking 2 8.7%





15 Exercising 0



18 Other, specify 0















10 Cooking 10 23.3%





15 Exercising 0



18 Other, specify 0

-

















10 Cooking 3 7.0%





15 Exercising 0



18 Other, specify 0















10 Cooking 2 5.3%





-



15 Exercising 0



18 Other, specify 0









10 Cooking 1 1.8%











10 Cooking 0








18 Other, specify 0

Sysmiss 2059




3 Personal care 0







-










18 Other, specify 0















10 Cooking 1 1.7%








18 Other, specify 0












-






10 Cooking 1 2.6%








18 Other, specify 0















10 Cooking 0








18 Other, specify 0








-



3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0








3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0




-






3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0








3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0

Sysmiss 2098

-












3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0

Sysmiss 2100




3 Personal care 0







10 Cooking 0





15 Exercising 0


-




3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0

Sysmiss 2100




3 Personal care 0







10 Cooking 0



-




3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0

Sysmiss 2097




3 Personal care 0






-




3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0

Sysmiss 2100




3 Personal care 0


-




3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0

Sysmiss 2098



# g2_6_02: g2_6_02 How satisfied are you with your available time for leisure activities li



Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.-




3 Personal care 0







10 Cooking 0





15 Exercising 0



18 Other, specify 0

Sysmiss 2098


1 Not satisfied 12 0.7%

2 25 1.5%

3 86 5.0%

4 114 6.6%

5 Middle 526 30.7%

6 256 14.9%

7 210 12.2%

8 178 10.4%

9 96 5.6%

10 Very satisfied 213 12.4%

Sysmiss 384

-

File : harvest_module_h_2012# a01: a01 household id



# h0: h0 Items




1 Woman 1 1949 64.5%

2 Woman 2 746 24.7%

3 Woman 3 255 8.4%

4 Woman 4 58 1.9%

5 Woman 5 14 0.5%

6 Woman 6 1 0.0%

7 Woman 7 0

8 Woman 8 0

9 Woman 9 0

10 Woman 10 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# h_1: h_1 WOMAN’S ID CODE FROM THE HOUSEHOLD ROSTER (Module C)




1 128 4.2%

2 1368 45.3%

3 611 20.2%

4 466 15.4%

5 261 8.6%

6 113 3.7%

7 39 1.3%

8 22 0.7%

9 8 0.3%

10 4 0.1%

11 2 0.1%


# h_2: h_2 Please tell me how old you are. What was your age at your last birthday?



# h_3: h_3 Is the respondent age between the ages of 15 and 49 years old?



-

File : harvest_module_h_2012# h_3: h_3 Is the respondent age between the ages of 15 and 49 years old?


1 Yes 2556 84.6%

2 No 0

98 Don't know 0

777 Absent 467 15.4%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# h_4: h_4 IS THE RESPONDENT BETWEEN THE AGES OF 15 AND 49 YEARS?




1 Yes 2556 100.0%

2 No 0


# h_5: h_5 Are you currently pregnant?




1 Yes 112 4.4%

2 No 2444 95.6%

98 Don't know 0


# h_6: h_6 Weight in kilograms



# h_7: h_7 Height in centimeters



# h_8: h_8 Food made from grains, such as bread, rice, noodles, porridge




1 Yes 2544 99.5%

2 No 12 0.5%

98 Don't know 0


# h_9: h_9 Pumpkin, carrots, squash, or sweet potatoes that are yellow or orange inside


-

File : harvest_module_h_2012# h_9: h_9 Pumpkin, carrots, squash, or sweet potatoes that are yellow or orange inside



1 Yes 935 36.6%

2 No 1621 63.4%

98 Don't know 0


# h_10: h_10 White potatoes, white yams, manioc, cassava, or any other foods made from r




1 Yes 480 18.8%

2 No 2076 81.2%

98 Don't know 0


# h_11: h_11 Any dark green leafy vegetables




1 Yes 2041 79.9%

2 No 515 20.1%

98 Don't know 0


# h_12: h_12 Ripe mangoes, ripe papayas




1 Yes 126 4.9%

2 No 2430 95.1%

98 Don't know 0


# h_13: h_13 Any other fruits or vegetables




1 Yes 1643 64.3%

2 No 913 35.7%

98 Don't know 0

-

File : harvest_module_h_2012# h_13: h_13 Any other fruits or vegetables



# h_14: h_14 Liver, kidney, heart, or other organ meats




1 Yes 339 13.3%

2 No 2217 86.7%

98 Don't know 0


# h_15: h_15 Any meat, such as beef, pork, lamb, goat, chicken, or duck




1 Yes 1515 59.3%

2 No 1041 40.7%

98 Don't know 0


# h_16: h_16 Eggs




1 Yes 1023 40.0%

2 No 1533 60.0%

98 Don't know 0


# h_17: h_17 Fresh or dried fish, shellfish, or seafood




1 Yes 2183 85.4%

2 No 373 14.6%

98 Don't know 0


# h_18: h_18 Any foods made from beans, peas, lentils, nuts, or seeds


-

File : harvest_module_h_2012# h_18: h_18 Any foods made from beans, peas, lentils, nuts, or seeds



1 Yes 565 22.1%

2 No 1991 77.9%

98 Don't know 0


# h_19: h_19 Cheese, yogurt, or other milk products




1 Yes 165 6.5%

2 No 2391 93.5%

98 Don't know 0


# h_20: h_20 Any oil, fats, or butter, or foods made with any of these




1 Yes 1865 73.0%

2 No 691 27.0%

98 Don't know 0


# h_21: h_21 Any sugary foods such as chocolates, sweets, candies, pastries, cakes, or b




1 Yes 1684 65.9%

2 No 871 34.1%

98 Don't know 1 0.0%


# h_22: h_22 Condiments for flavor, such as chilies, spices, herbs, or fish powder




1 Yes 2492 97.5%

2 No 64 2.5%

98 Don't know 0

File : harvest_module_h_2012# h_22: h_22 Condiments for flavor, such as chilies, spices, herbs, or fish powder


# h_23: h_23 Grubs, snails, or insectsInformationStatistics [NW/ W]



# h_24: h_24 Foods made with red palm oil, red palm nut, or red palm nut pulp sauceInformation [Type= discrete] [Format=numeric] [Range= 1-98] [Missing=*]



-


Sysmiss 467


1 Yes 164 6.4%

2 No 2392 93.6%

98 Don't know 0

Sysmiss 467


1 Yes 58 2.3%

2 No 2498 97.7%

98 Don't know 0

Sysmiss 467

-

File : harvest_module_i_2012# a01: a01 household id



# i0: i0 Items




1 Child 1 915 78.3%

2 Child 2 232 19.9%

3 Child 3 19 1.6%

4 Child 4 2 0.2%

5 Child 5 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# i_1: i_1 CAREGIVER’S ID CODE FROM THE HOUSEHOLD ROSTER




1 74 6.3%

2 879 75.3%

3 114 9.8%

4 64 5.5%

5 25 2.1%

6 6 0.5%

8 4 0.3%

10 1 0.1%


# i_2: i_2 CHILD’S ID CODE FROM THE HOUSEHOLD ROSTER




16.4%

23.2%

21.3%

14.7%

9.9%

7.8%

2 3 0.3%

3 191

4 271

5 249

6 172

7 116

8 91

9 44 3.8%

10 17 1.5%

11 6 0.5%

12 2 0.2%

13 4 0.3%

-

File : harvest_module_i_2012# i_2: i_2 CHILD’S ID CODE FROM THE HOUSEHOLD ROSTER


14 1 0.1%


# i_3: i_3 What is [child’s name]’s sex?




1 Male 612 52.4%


# i_4: i_4 How old was [child’s name] at [his/her] last birthday?




0 200 17.1%

1 195 16.7%

2 229 19.6%

3 204 17.5%

4 194 16.6%


# i_5: i_5 How many months old is [child’s name]?



# i_6: i_6 CHECK I05. IS THE CHILD UNDER 60 MONTHS?



1.0%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# i_7: i_7 DOES CHILD HAVE EDEMA?




1 Yes 7 0.7%

2 No 1003 99.3%

Sysmiss 158


1 Yes 1010 86.5%

2 No 146 12.5%

98 Don't know 0

777 Absent 12

-

File : harvest_module_i_2012# i_7: i_7 DOES CHILD HAVE EDEMA?Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# i_8: i_8 Weight in kilograms:



# i_9: i_9 Height in centimeters



# i_10: i_10 CHECK QUESTION I05. IS THE CHILD UNDER 24 MONTHS OF AGE?




1 Yes 398 39.4%

2 No 612 60.6%

98 Don't know 0


# i_11: i_11 Has [child’s name] ever been breastfed?




1 Yes 391 98.2%

2 No 7 1.8%

98 Don't know 0


# i_12: i_12 Was [child’s name] breastfed yesterday during the day or at night?




1 Yes 324 82.9%

2 No 67 17.1%

98 Don't know 0


# i_13: i_13 Did [Child’s name] consume breast milk in any of these ways yesterday durin




1 Yes 2 2.7%

2 No 72 97.3%

-

File : harvest_module_i_2012# i_13: i_13 Did [Child’s name] consume breast milk in any of these ways yesterday durin


98 Don't know 0


# i_14: i_14 Was [child’s name] given any vitamin drops or other medicines as drops yest




1 Yes 86 21.6%

2 No 312 78.4%

98 Don't know 0


# i_15: i_15 Was [child’s name] given [local name for oral rehydration solution] yesterd




1 Yes 13 15.1%

2 No 72 83.7%



# i_17: i_17 Plain water?




1 Yes 315 79.1%

2 No 83 20.9%

98 Don't know 0


# i_18: i_18 Infant formula such as [France Bébé, Similac and Dumex]?




1 Yes 20 5.0%

2 No 378 95.0%

98 Don't know 0


-

File : harvest_module_i_2012# i_19: i_19 How many times yesterday during the day or at night did [child’s name] cons




1 4 20.0%

2 2 10.0%

3 4 20.0%

4 2 10.0%

5 3 15.0%

6 1 5.0%

7 1 5.0%

8 1 5.0%

98 Don't know 2 10.0%


# i_20: i_20 Did [child’s name] have any milk such as tinned, powdered, or fresh animal




1 Yes 35 8.8%

2 No 363 91.2%

98 Don't know 0


# i_21: i_21 How many times yesterday during the day or at night did [child’s name] cons




1 16 45.7%

2 10 28.6%

3 5 14.3%

4 1 2.9%

6 2 5.7%



# i_22: i_22 Did [child’s name] have any juice or juice drinks?




1 Yes 52 13.1%

2 No 346 86.9%

98 Don't know 0

-

File : harvest_module_i_2012# i_22: i_22 Did [child’s name] have any juice or juice drinks?



# i_23: i_23 Clear broth?




1 Yes 63 15.8%

2 No 335 84.2%

98 Don't know 0


# i_24: i_24 Yogurt?




1 Yes 3 0.8%

2 No 395 99.2%

98 Don't know 0


# i_25: i_25 How many times yesterday during the day or at night did [child’s name] cons




1 1 33.3%

2 1 33.3%

5 1 33.3%

98 Don't know 0


# i_26: i_26 Did [child’s name] have any thin porridge




1 Yes 85 21.4%

2 No 313 78.6%

98 Don't know 0


-

File : harvest_module_i_2012# i_27: i_27 Any other liquids such as [Porridge that cooked from rice mix with vegetabl




1 Yes 103 25.9%

2 No 295 74.1%

98 Don't know 0


# i_28: i_28 Any other liquids?




1 Yes 31 7.8%

2 No 365 91.7%



# i_29: i_29 Food made from grains, such as bread, rice, noodles, porridge




1 Yes 288 72.4%

2 No 110 27.6%

98 Don't know 0


# i_30: i_30 Pumpkin, carrots, squash, or sweet potatoes that are yellow or orange insid




1 Yes 94 23.6%

2 No 304 76.4%

98 Don't know 0


# i_31: i_31 White potatoes, white yams, manioc, cassava, or any other foods made from r




1 Yes 34 8.5%

2 No 364 91.5%

-

File : harvest_module_i_2012# i_31: i_31 White potatoes, white yams, manioc, cassava, or any other foods made from r


98 Don't know 0


# i_32: i_32 Any dark green leafy vegetables




1 Yes 166 41.7%

2 No 232 58.3%

98 Don't know 0


# i_33: i_33 Ripe mangoes, ripe papayas




1 Yes 12 3.0%

2 No 386 97.0%

98 Don't know 0


# i_34: i_34 Any other fruits or vegetables




1 Yes 114 28.6%

2 No 284 71.4%

98 Don't know 0


# i_35: i_35 Liver, kidney, heart, or other organ meats




1 Yes 20 5.0%

2 No 378 95.0%

98 Don't know 0


-

File : harvest_module_i_2012# i_36: i_36 Any meat, such as beef, pork, lamb, goat, chicken, or duck




1 Yes 125 31.4%

2 No 273 68.6%

98 Don't know 0


# i_37: i_37 Eggs




1 Yes 117 29.4%

2 No 281 70.6%

98 Don't know 0


# i_38: i_38 Fresh or dried fish, shellfish, or seafood




1 Yes 198 49.7%

2 No 200 50.3%

98 Don't know 0


# i_39: i_39 Any foods made from beans, peas, lentils, nuts, or seeds




1 Yes 41 10.3%

2 No 357 89.7%

98 Don't know 0


# i_40: i_40 Cheese, yogurt, or other milk products




1 Yes 16 4.0%

2 No 382 96.0%

-

File : harvest_module_i_2012# i_40: i_40 Cheese, yogurt, or other milk products


98 Don't know 0


# i_41: i_41 Any oil, fats, or butter, or foods made with any of these




1 Yes 123 30.9%

2 No 275 69.1%

98 Don't know 0


# i_42: i_42 Any sugary foods such as chocolates, sweets, candies, pastries, cakes, or b




1 Yes 197 49.5%

2 No 201 50.5%

98 Don't know 0


# i_43: i_43 Condiments for flavor, such as chilies, spices, herbs, or fish powder




1 Yes 213 53.5%

2 No 185 46.5%

98 Don't know 0


# i_44: i_44 Grubs, snails or insects




1 Yes 5 1.3%

2 No 393 98.7%

98 Don't know 0


-

File : harvest_module_i_2012# i_45: i_45 Foods made with red palm oil, red palm nut, or red palm nut pulp sauce




1 Yes 3 0.8%

2 No 395 99.2%

98 Don't know 0


# i_46: i_46 IF ‘YES’ PROBE: What kind of solid, semi-solid, or soft foods did [child’s




1 Yes 0

2 No 99 100.0%

98 Don't know 0


# i_47: i_47 How many times did [child’s name] eat solid, semi-solid, or soft foods othe




1 7 2.3%

2 25 8.4%

3 93 31.1%

4 52 17.4%

5 38 12.7%

6 30 10.0%

7 14 4.7%

8 13 4.3%

9 4 1.3%

10 8 2.7%

12 3 1.0%

13 1 0.3%

14 3 1.0%

16 2 0.7%

17 1 0.3%

24 1 0.3%



-

File : harvest_module_j1_2012# a01: a01 household id



# j101: j101 plot #



# j103: j103 What type of plot is this?




1 Residential 2167 25.7%

2 Agricultural 6252 74.3%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# j104: j104 What is the tenancy status of this plot?




1 Owner operated 7453 88.5%

2 Rented in (cash) 391 4.6%

3 Sharecropped in 161 1.9%

4 Borrowed (no payment) 236 2.8%

5 Rented out (cash) 65 0.8%

6 Sharecropped out 48 0.6%

7 Lending out (no payment) 51 0.6%


# j105: j105 If rented, how much did you pay for this plot last season?

Information [Type= continuous] [Format=numeric] [Range= 0-828.486511230469] [Missing=*]


# j106: j106 Area As reported



# j107: j107 Area (Convertor codes)




1 m2 = 0.0001 ha 2017 24.0%

2 Ar = 0.01 ha 1919 22.8%

3 Kong=0.09ha 189 2.2%

4 Rai = 0.16 ha 168 2.0%

5 ha 4126 49.0%

-

File : harvest_module_j1_2012# j107: j107 Area (Convertor codes)Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# j108: j108 Was this field cultivated in the last WET SEASON?




1 Yes 7393 87.8%

2 No (Go J110) 1026 12.2%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# j109a: j109a Crops cultivated in the last WET SEASON




1 Wet Rice (harvested Oct. 2011-Jan.2012) 5408 73.2%

2 Dry Rice (harvested Dec 2011-March.2012) 11 0.1%

3 Vegetables 761 10.3%

4 Other crops 978 13.2%

5 Early wet rice (harvested March- June 2012) 233 3.2%


# j109b: j109b Crops cultivated in the last WET SEASON










# j109c: j109c Crops cultivated in the last WET SEASON





2 Dry Rice (harvested Dec 2011-March.2012) 0





-

File : harvest_module_j1_2012# j110: j110 Was this field cultivated in the last DRY SEASON?




1 yes 2389 28.4%

2 no (go to next plot) 6018 71.6%


# j111a: j111a Crops cultivated in the last DRY SEASON








5 Early wet rice (harvested March- June 2012) 0


# j111b: j111b Crops cultivated in the last DRY SEASON




1 Wet Rice (harvested Oct. 2011-Jan.2012) 0




5 Early wet rice (harvested March- June 2012) 0


# j111c: j111c Crops cultivated in the last DRY SEASON




1 Wet Rice (harvested Oct. 2011-Jan.2012) 0


3 Vegetables 0




# area_ha: plot area in hectares

Information [Type= continuous] [Format=numeric] [Range= 8.69999985297909e-06-50] [Missing=*]

File : harvest_module_j1_2012# area_ha: plot area in hectares


# nparcels: # of parcels per household


[Type= continuous] [Format=numeric] [Range= 1-30] [Missing=*][Valid=8419 /-] [Invalid=0 /-] [Mean=5.211 /-] [StdDev=3.123 /-]

# wplots: # of wet season rice plots per household



# dplots: # of dry season rice plots per household



Value01234568

Label Cases2236362414046203411234526

Percentage26.6%

43.0%

16.7%

7.4%4.1%1.5%0.5%0.3%


-

-

File : harvest_module_j2a_2012# a01: household id



# j2a01: j2a01_ plot #



# j2a02: j2a02_ cultivated area (ha)



# j2a03: j2a03_ harvested area (ha)



# j2a04: j2a04_ did you use improved rice seed variety?




1 yes 3153 55.6%


# j2a05: j2a05_ is this wet rice broadcast or transplanted?




1 broadcast 2827 49.9%

2 transplanted 2712 47.9%

3 both 127 2.2%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# j2a06: j2a06_ what is the source of the seed used in the wet season?




1 own 4513 79.7%

2 purchased from dealer 509 9.0%

3 purchased from farmer 485 8.6%

4 provided free by harvest program 15 0.3%

5 provided free by an ngo or a government program 29 0.5%

6 provided free by a friend, neighbor or family 34 0.6%

7 a combination of own and purchased 60 1.1%

8 a combination of own and provided free 17 0.3%

9 a combination of purchased and provided free 4 0.1%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

-

File : harvest_module_j2a_2012# j2a07: j2a07_ if purchased, in total how much did you pay for it? (0000 riels)



# j2a08: j2a08_ what quantity of seed did you plant? (kg)



# j2a09: j2a09_ did you use fertilizer on this plot?




1 yes 3996 70.5%

2 no (skip to j2a17) 1670 29.5%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# j2a10: j2a10_ what type of fertilizer did you use?




1 basal 944 23.6%

2 top dressing 1389 34.8%

3 both 1663 41.6%


# j2a11: j2a11_ how much did you use? (kg)



# j2a12: j2a12_ what is the source?




1 own 19 0.7%








9 a combination of purchased and provided free 1 0.0%


-

File : harvest_module_j2a_2012# j2a13: j2a13_ if purchased, how much did you pay? (0000 riels)



# j2a14: j2a14_ how much did you use? (kg)



# j2a15: j2a15_ what is the source?




# j2a16: j2a16_ if purchased, how much did you pay? (0000 riels)



# j2a17: j2a17_ did you use pesticides on this plot?




# j2a18: j2a18_ amount of pesticides



# j2a19: j2a19_ type of unit of pesticides





1 own 4 0.1%






7 a combination of own and purchased 0


9 a combination of purchased and provided free 0

Sysmiss 2614


1 yes 1751 30.9%

2 no (skip to j2a22) 3915 69.1%


1 litres 1751 100.0%

Sysmiss 3915

-

File : harvest_module_j2a_2012# j2a20: j2a20_ what is the source?




# j2a21: j2a21_ if purchased, how much did you pay in total? (0000 riels)



# j2a22: j2a22_ did you hire any labour to work on this plot?




# j2a23: j2a23_ land preparation; canal cleaning/repair_# of workers



# j2a24: j2a24_ land preparation; canal cleaning/repair_amount paid (0000 riels)



# j2a25: j2a25_ planting_# of workers



# j2a26: j2a26_ planting_amount paid (0000 riels)



# j2a27: j2a27_ weeding_# of workers




1 own 4 0.2%



4 provided free by harvest program 0


6 provided free by a friend, neighbor or family 0




Sysmiss 3915


1 yes 4148 73.2%

2 no (skip to j2a31) 1518 26.8%

-

File : harvest_module_j2a_2012# j2a28: j2a28_ weeding_amount paid (0000 riels)



# j2a29: j2a29_ harvesting_# of workers



# j2a30: j2a30_ harvesting_amount paid (0000 riels)



# j2a31: j2a31_ did you use any other inputs (oil, diesel, water, etc) or rented




# j2a32: j2a32_ if used other inputs, how much money did you spend in total in th



# j2a33: j2a33_ how much wet season paddy rice did you harvest? (k)g




1 yes 2343 41.4%

2 no (skip to j2a33) 3323 58.6%

-

File : harvest_module_j2b_2012# a01: household id



# j2b01: j2b01_ plot #




1 57 7.9%

2 228 31.5%

3 181 25.0%

4 112 15.5%

5 75 10.4%

6 25 3.5%

7 16 2.2%

8 8 1.1%

9 5 0.7%

10 3 0.4%

11 4 0.6%

12 3 0.4%

14 1 0.1%

15 1 0.1%

18 1 0.1%

19 1 0.1%

20 1 0.1%


# j2b02: j2b02_ cultivated area (ha)



# j2b03: j2b03_ harvested area (ha)



# j2b04: j2b04_ did you use improved rice seed variety?




1 yes 541 74.8%


# j2b05: j2b05_ is this wet rice broadcast or transplanted?



-

File : harvest_module_j2b_2012# j2b05: j2b05_ is this wet rice broadcast or transplanted?


1 broadcast 679 93.9%

2 transplanted 37 5.1%

3 both 7 1.0%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# j2b06: j2b06_ what is the source of the seed used in the wet season?




1 own 417 57.7%








9 a combination of purchased and provided free 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# j2b07: j2b07_ if purchased, in total how much did you pay for it? (0000 riels)



# j2b08: j2b08_ what quantity of seed did you plant? (kg)



# j2b09: j2b09_ did you use fertilizer on this plot?




1 yes 638 88.2%

2 no (skip to j2b17) 85 11.8%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# j2b10: j2b10_ what type of fertilizer did you use?




1 basal 32 5.0%

2 top dressing 406 63.6%

3 both 200 31.3%


-

File : harvest_module_j2b_2012# j2b11: j2b11_ how much did you use? (kg)



# j2b12: j2b12_ what is the source?




# j2b13: j2b13_ if purchased, how much did you pay? (0000 riels)



# j2b14: j2b14_ how much did you use? (kg)







# j2b16: j2b16_ if purchased, how much did you pay? (0000 riels)


[Valid=606 /-] [Invalid=117 /-] [Mean=47.888 /-] [StdDev=57.844 /-]Statistics [NW/ W]


1 own 1 0.4%


3 purchased from farmer 0


5 provided free by an ngo or a government program 0



8 a combination of own and provided free 0


Sysmiss 491


1 own 2 0.3%









Sysmiss 117

929

-

File : harvest_module_j2b_2012# j2b17: j2b17_ did you use pesticides on this plot?




1 yes 600 83.0%


# j2b18: j2b18_ amount of pesticides



# j2b19: j2b19_ type of unit of pesticides

Information [Type= discrete] [Format=numeric] [Range= 0.300000011920929-1] [Missing=*]



0.300000011920 1 0.2%

0.5 4 0.7%

1 litres 595 99.2%






1 own 3 0.5%










# j2b21: j2b21_ if purchased, how much did you pay in total? (0000 riels)



# j2b22: j2b22_ did you hire any labour to work on this plot?




1 yes 616 85.2%

-

File : harvest_module_j2b_2012# j2b22: j2b22_ did you hire any labour to work on this plot?



# j2b23: j2b23_ land preparation; canal cleaning/repair_# of workers




# j2b24: j2b24_ land preparation; canal cleaning/repair_amount paid (0000 riels)



# j2b25: j2b25_ planting_# of workers



# j2b26: j2b26_ planting_amount paid (0000 riels)



# j2b27: j2b27_ weeding_# of workers




# j2b28: j2b28_ weeding_amount paid (0000 riels)




0 268 43.5%

1 282 45.8%

2 57 9.3%

3 3 0.5%

4 3 0.5%

5 2 0.3%

6 1 0.2%

Sysmiss 107


0 610 99.0%

1 1 0.2%

2 3 0.5%

3 1 0.2%

4 1 0.2%

-

File : harvest_module_j2b_2012# j2b29: j2b29_ harvesting_# of workers



# j2b30: j2b30_ harvesting_amount paid (0000 riels)



# j2b31: j2b31_ did you use any other inputs (oil, diesel, water, etc) or rented




# j2b32: j2b32_ if used other inputs, how much money did you spend in total in th



# j2b33: j2b33_ how much wet season paddy rice did you harvest? (k)g




1 yes 584 80.8%

2 no (skip to j2b33) 139 19.2%

-

File : harvest_module_j2c_2012# a01: a01 household id



# j2c01: j2c01 items




1 WET SEASON RICE 2100 33.3%

2 EARLY WET SEASON RICE 2100 33.3%

3 DRY SEASON RICE 2100 33.3%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# j2c02: j2c02 Did you sell [RICE TYPE] in the past 12 months?




1 Yes 1704 27.4%

2 No (Skip to next rice type) 4515 72.6%


# j2c03a: j2c03a How much [RICE TYPE] did you sell?_ Amount



# j2c03b_1: j2c03b How much [RICE TYPE] did you sell?_Month of selling rice




1 January 256 15.0%

2 February 204 12.0%

3 March 161 9.5%

4 April 83 4.9%

5 May 61 3.6%

6 June 68 4.0%

7 July 158 9.3%

8 August 109 6.4%

9 September 52 3.1%

10 October 38 2.2%

11 November 248 14.6%

12 December 264 15.5%




-

File : harvest_module_j2c_2012# j2c03b_2: j2c03b How much [RICE TYPE] did you sell?_Month of selling rice



1 January 20 9.3%

2 February 17 7.9%

3 March 23 10.7%

4 April 26 12.1%

5 May 19 8.8%

6 June 16 7.4%

7 July 16 7.4%

8 August 20 9.3%

9 September 13 6.0%

10 October 2 0.9%

11 November 8 3.7%

12 December 35 16.3%






1 January 3 4.3%

2 February 3 4.3%

3 March 3 4.3%

4 April 9 12.9%

5 May 9 12.9%

6 June 11 15.7%

7 July 9 12.9%

8 August 12 17.1%

9 September 4 5.7%

10 October 0

11 November 1 1.4%

12 December 6 8.6%






1 January 0

2 February 0

3 March 2 15.4%

4 April 1 7.7%

5 May 1 7.7%

-

File : harvest_module_j2c_2012# j2c03b_4: j2c03b How much [RICE TYPE] did you sell?_Month of selling rice


6 June 3 23.1%

7 July 3 23.1%

8 August 1 7.7%

9 September 1 7.7%

10 October 0

11 November 0

12 December 1 7.7%






# j2c03c: j2c03c How much [RICE TYPE] did you sell?_Unit price



# j2c04: j2c04 How much did you get in total from sales of [RICE TYPE]? ('0000 Riels)




1 January 0

2 February 0

3 March 0

4 April 1 25.0%

5 May 0

6 June 0

7 July 0

8 August 1 25.0%

9 September 1 25.0%

10 October 0

11 November 1 25.0%

12 December 0

Sysmiss 6296

-

File : harvest_module_j3a_2012# a01: a01 household id



# j3a01: j3a01 items




# j3a02: j3a02 Did you grow [VEGETABLE TYPE] in the last 12 months?




# j3a03: j3a03 Was this [VEGETABLE TYPE] grown in a home garden?



1 Cabbage 2100 4.0%

2 Water convolvulus 2100 4.0%

3 Lotus 2100 4.0%

4 Garlic 2100 4.0%

5 Aromatic edible herbs 2100 4.0%

6 Tomato 2100 4.0%

7 Eggplant 2100 4.0%

8 Wax gourd 2100 4.0%

9 Large smooth fibrous type of gourd 2100 4.0%

10 Bitter gourd 2100 4.0%

11 Cucumber 2100 4.0%

12 Pumpkin 2100 4.0%

13 Lettuce 2100 4.0%

14 Radish 2100 4.0%

15 Long green beans 2100 4.0%

16 French beans 2100 4.0%

17 Taro 2100 4.0%

18 Green/sweet pepper 2100 4.0%

19 Mushroom 2100 4.0%

20 Amaranth 2100 4.0%

21 Water hyacinth flowers 2100 4.0%

22 Water mimosa 2100 4.0%

23 Cratavea plant 2100 4.0%

24 Chinese Kale flower 2100 4.0%

25 Chinese Kale leaf 2100 4.0%


1 Yes 5970 11.4%

2 No (skip to next [VEGETABLE TYPE]) 46376 88.6%

Sysmiss 154

-

File : harvest_module_j3a_2012# j3a03: j3a03 Was this [VEGETABLE TYPE] grown in a home garden?



1 Yes 5102 85.5%

2 No 868 14.5%


# j3a04a: j3a04a What was the total area planted with [VEGETABLE TYPE]?_Area(as reported)



# j3a04b: j3a04b What was the total area planted with [VEGETABLE TYPE]?_Area




1 m2 = 0.0001 ha 5487 92.1%

2 Ar = 0.01 ha 213 3.6%

3 Kong=0.09ha 10 0.2%

4 Rai = 0.16 ha 13 0.2%

5 ha 237 4.0%


# j3a05: j3a05 Quantity Produced of [VEGETABLE TYPE]?_Quantity(Kg)



# j3a06: j3a06 Quantity Produced of [VEGETABLE TYPE]?_Type of unit (Riel/Kg)



# j3a07: j3a07 Did you sell [VEGETABLE TYPE] in the last 12 months?




1 Yes 4059 68.1%

2 No(skip to Next Type) 1904 31.9%


# j3a08: j3a08 How much did you get in total from sales of [VEGETABLE TYPE]? (0000 Riels)



# area_veg: vegetable plot area (ha)

Information [Type= continuous] [Format=numeric] [Range= 1.99999994947575e-05-0.631677806377411] [Missing=*]


-

File : harvest_module_j3b_2012# a01: a01 household id



# j3b01: j3b01 items




1 Seeds/Seedlings 2100 8.3%

2 Chemical fertilizer 2100 8.3%

3 Pesticide 2100 8.3%

4 Oil/gas/gasoline/diesel 2100 8.3%

5 Rental of pump machine 2100 8.3%

6 Rental of land 2100 8.3%

7 Hired Labor 2100 8.3%

8 Packaging Materials 2100 8.3%

9 Transportation 2100 8.3%




# j3b02: j3b02 Did you use [INPUT TYPE] in vegetable production in the last 12 months?




1 Yes 4242 21.9%



# j3b03: j3b03 Did you purchase or pay for this [Input Type]?




1 Yes 3694 87.1%



# j3b04: j3b04 How much did you pay for the total quantity purchased? ('0000 Riels)



-

File : harvest_module_j4_2012# a01: a01 household id



# j401: j401 code




101 101_ Paddy of dry season 0

102 102_ Paddy of wet season 0

103 103_ Sticky paddy 0

104 104_ Maize (corn) 198 4.0%

105 105_ Other cereals harvested for grain 0

201 201_ Potato 26 0.5%

202 202_ Sweet potato 17 0.3%

203 203_ Cassava 54 1.1%

204 204_ Dry onion 0

205 205_ Dry garlic, white 0

206 206_ Dry garlic, red 0

208 208_ Jampada 0

209 209_ Other tubers, root and bulk crops 29 0.6%

301 301_ Cowpea 5 0.1%

302 302_ Mung bean 20 0.4%

303 303_ Other leguminous plaints for grain 5 0.1%

401 401_ Sugar cane 66 1.3%

411 411_ Groundnut (peanut) 4 0.1%

412 412_ Soybean 1 0.0%

413 413_ Sesame 2 0.0%

414 414_ Castor bean 0

415 415_ Sunflower 0

416 416_ Cottonseed 0

417 417_ Other oilseed crops 0

421 421_ Dry chillies 1 0.0%

422 422_ Dry peppers 0

423 423_ Caraway 0

424 424_ Mint 0

426 426_ Coriander 0

427 427_ Sweet basil 0

428 428_ Sorghum 1 0.0%

429 429_ Betel leaf 37 0.7%

430 430_ Other spices 1 0.0%

441 441_ Cotton 1 0.0%

442 442_ Jute 0

443 443_ Kapok 4 0.1%

444 444_ Nettle plant 0

-

File : harvest_module_j4_2012# j401: j401 code


445 445_ Other fibre crops 1 0.0%

451 451_ Tobacco, strong 2 0.0%

452 452_ Tobacco, light 0

453 453_ Other industrial crops 0

501 501_ Trakun 0

503 503_ Lettuce 0

504 504_ Leek 0

505 505_ Celery 0

506 506_ Mustard green 0

507 507_ Water lily 0

508 508_ Spinach 0

509 509_ Cress 0

510 510_ Chinese Kale 0

511 511_ Other leafy or stem vegetables 7 0.1%

521 521_ Chilli (fresh) 28 0.6%

524 524_ Gourd 19 0.4%

526 526_ Green gourd 0

529 529_ Bitter melon 0

530 530_ Wing bean 3 0.1%

531 531_ Other fruitbearing vegetables 0

542 542_ Suger beet 0

543 543_ Scallion 0

545 545_ Turnip 0

546 546_ Shallot 0

547 547_ Other root, bulb and tuberous vegetables 4 0.1%

551 551_ Peas 0

553 553_ Other leguminous harvested green 0

561 561_ Cauliflower and broccoli 0

562 562_ Corn (sweet) 2 0.0%

564 564_ Other vegetables 1 0.0%

602 602_ Other hotricultural 0

701 701_ Fodder Crops 4 0.1%

801 801_ Oranges 134 2.7%

802 802_ Tangerines 3 0.1%

803 803_ Grapefruit and pomelo 48 1.0%

804 804_ Lime/Lemon 152 3.1%

805 805_ Other citrus fruits 28 0.6%

811 811_ Banana 970 19.6%

812 812_ Custard apple 117 2.4%

813 813_ Guava 85 1.7%

814 814_ Longan 24 0.5%

815 815_ Mango 829 16.7%

816 816_ Papaya 208 4.2%

-



817 817_ Pineapple 75 1.5%

818 818_ Wood apple 43 0.9%

819 819_ Jackfruit 176 3.6%

820 820_ Pomegranate 3 0.1%

821 821_ Sapodilla/chico 54 1.1%

822 822_ Rambutan 1 0.0%

823 823_ Mangosten 0

824 824_ Durian 0

825 825_ Milk fruit 80 1.6%

826 826_ Lotus fruit 0

827 827_ Watermelon 42 0.8%

828 828_ Rose apple 4 0.1%

829 829_ Marian plum 0

830 830_ Hog plum 18 0.4%

831 831_ Jambolen plum 11 0.2%

832 832_ Small bell 38 0.8%

833 833_ Other cultivated fruits 62 1.3%

841 841_ Cashew 112 2.3%

842 842_ Betel nuts 81 1.6%

844 844_ Other edible nuts 7 0.1%

901 901_ Coffee 0

902 902_ Tea 0

903 903_ Cocoa (cacao) 0

904 904_ Other beverage crops 0

911 911_ Coconut 860 17.4%

912 912_ Oil palm 0

913 913_ Other oil crops 1 0.0%

921 921_ Ginger 8 0.2%

922 922_ Black pepper 1 0.0%

923 923_ Clover 0

924 924_ Lemon grass 50 1.0%

925 925_ Saffron 14 0.3%

926 926_ Krasang 11 0.2%

927 927_ Tamarind 35 0.7%

928 928_ Other spices and aromatic crops 8 0.2%

941 941_ Rubber 0

942 942_ Other rubber and tanning crops 0

951 951_ Roses 0

952 952_ Jasmine 0

953 953_ Tuberose flower 6 0.1%

954 954_ Orchid 0

955 955_ Lotus flower 1 0.0%

956 956_ Other flower crops 0

-



997 997_ Other crop not classified elsewhere 9 0.2%

998 998_ Respondent don't know the crop 2 0.0%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# j402: j402 did you grow [crop] the last 12 months?




# j403a: j403a how much did you produce of [crop]?_quantity (kg)



# j403b: j403b how much did you produce of [crop]?_unit (riel/kg)



# j404: j404 did you sell [crop] this past season?




# j405: j405 how much did you get in total from sales of [crop]? (0000 riels)




1 yes 4954 100.0%

2 no (skip to next type) 0


1 yes 2438 49.2%

2 no (skip to next type) 2516 50.8%

-

File : harvest_module_k1ab_2012# a01: a01 household id



# k1a: k1a Does this household raise fish?




# k1b: k1b Have you had any harvest?





1 yes 246 11.8%

2 no 1840 88.2%


1 yes 140 56.9%

2 no 106 43.1%

Sysmiss 1840

-

File : harvest_module_k2_2012# a01: a01 household id




0202020923 2 0.8%

0202030320 1 0.4%

0202030323 2 0.8%

0202030422 1 0.4%

0202030425 2 0.8%

0202100106 1 0.4%

0202100109 1 0.4%

0202100119 1 0.4%

0202100601 1 0.4%

0202100603 1 0.4%

0202100612 1 0.4%

0202100615 1 0.4%

0202100622 1 0.4%

0202100623 1 0.4%

0202100624 1 0.4%

0204020122 1 0.4%

0204020421 1 0.4%

0204020425 1 0.4%

0206050222 1 0.4%

0206050309 1 0.4%

0206050403 1 0.4%

0206050405 1 0.4%

0206050407 1 0.4%

0206050413 1 0.4%

0206050423 2 0.8%

0206050501 1 0.4%

0206050502 23 9.0%

0206050602 1 0.4%

0206050701 1 0.4%

0206050801 1 0.4%

0206050802 2 0.8%

0206050806 3 1.2%

0206090510 1 0.4%

0206090609 1 0.4%

0206090612 1 0.4%

0602040516 22 8.6%

0602091112 4 1.6%

0602091305 1 0.4%

0602091324 4 1.6%

0603100311 2 0.8%

0603100315 1 0.4%

-



0603100323 1 0.4%

0604051417 1 0.4%

0607070521 3 1.2%

0607070523 1 0.4%

0607070701 1 0.4%

0607070724 3 1.2%

0607070808 1 0.4%

0607070822 1 0.4%

0607070823 1 0.4%

1501030601 1 0.4%

1501030818 1 0.4%

1501030819 1 0.4%

1501030820 1 0.4%

1501030821 1 0.4%

1501060401 1 0.4%

1501060406 1 0.4%

1501060408 1 0.4%

1501060409 1 0.4%

1501060417 2 0.8%

1501060425 1 0.4%

1501060604 1 0.4%

1501060608 3 1.2%

1501060613 2 0.8%

1501060614 3 1.2%

1501060616 4 1.6%

1501060620 1 0.4%

1501060623 1 0.4%

1501060624 2 0.8%

1501060625 2 0.8%

1501060703 1 0.4%

1501060704 1 0.4%

1501060705 1 0.4%

1501060706 1 0.4%

1501060711 3 1.2%

1501060715 2 0.8%

1501060716 1 0.4%

1501060717 1 0.4%

1501060718 1 0.4%

1501100110 3 1.2%

1501100116 2 0.8%

1501100124 1 0.4%

1501100222 2 0.8%

1501101714 1 0.4%

-



1501101720 2 0.8%

1501101721 1 0.4%

1501101722 1 0.4%

1503080107 1 0.4%

1503080108 1 0.4%

1503080109 1 0.4%

1503080113 1 0.4%

1503080123 1 0.4%

1503080201 2 0.8%

1503080205 1 0.4%

1503080209 1 0.4%

1503080223 2 0.8%

1503080312 1 0.4%

1503090317 1 0.4%

1503090324 3 1.2%

1503090325 1 0.4%

1503110406 1 0.4%

1503110420 1 0.4%

1503110421 1 0.4%

1503110516 3 1.2%

1503110605 1 0.4%

1503110615 1 0.4%

1704110601 1 0.4%

1704110602 1 0.4%

1704110605 1 0.4%

1704110607 1 0.4%

1704110608 1 0.4%

1704110609 2 0.8%

1709050612 1 0.4%

1709050616 1 0.4%

1709050620 1 0.4%

1709060204 1 0.4%

1710110604 1 0.4%

1710110605 1 0.4%

1710110609 1 0.4%

1710110618 1 0.4%

1711011502 1 0.4%

1711011503 1 0.4%

1711011505 1 0.4%

1711011506 1 0.4%

1711011507 1 0.4%

1711011508 1 0.4%

1711011510 1 0.4%

-



1711011511 1 0.4%

1711011512 25 9.8%

1711011601 1 0.4%

1711011602 1 0.4%

1711011604 1 0.4%

1711011613 1 0.4%

1711011618 1 0.4%

1711011620 3 1.2%

1711011723 3 1.2%

1711090204 1 0.4%

1711090205 1 0.4%

1711090208 1 0.4%


# k201: k201 fish species and codes




1 climbing perch 67 26.3%

2 silver barb 23 9.0%

3 indian carp 23 9.0%

4 walking catfish 62 24.3%

5 common carp 2 0.8%

6 silver carp 2 0.8%

7 nile tilapia 47 18.4%

8 giant gourami 1 0.4%

9 pangasius catfish 15 5.9%

10 others specify 13 5.1%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# k202a: k202a how much did you produce of [fish species]? quantity (kg)



# k202b: k202b how much did you produce of [fish species]? (riel/kg)



# k203: k203 did you sell any [fish species] during the last production cycle?




1 yes 184 72.2%

2 no 71 27.8%

-

File : harvest_module_k2_2012# k203: k203 did you sell any [fish species] during the last production cycle?Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# k204: k204 how much did you get in total from sales of [fish species]? ('000



-




# k301: k301 Input Type and Code




1 Setup cost (pond, facility, equipment, etc.) 140 12.5%

2 Cost of fingerlings 140 12.5%

3 Cost of feeds 140 12.5%

4 Transportation cost 140 12.5%

5 Cost of technical services 140 12.5%

6 Cost of maintenance of the facilities and equipment 140 12.5%

7 Labor 140 12.5%


# k302: k302 Did you use [INPUT TYPE] in fish production during the last production cycl




1 yes 450 40.2%


# k303: k303 What is the source?




1 Own 117 26.0%

2 Purchased from dealer 86 19.1%

3 Purchased from farmer 11 2.4%

4 Provided free by HARVEST program 127 28.2%

5 Provided free by an NGO or a government program 24 5.3%

6 Provided free by a friend, neighbor or family 2 0.4%

7 A combination of own and purchased 8 1.8%

8 A combination of own and provided free 17 3.8%

9 A combination of purchased and provided free 58 12.9%


# k304: k304 If purchased, how much did you pay in the total?



-

File : harvest_module_l1_2012# a01: a01 household id



# l101: l101 items




1 Disease and pest control for rice 2100 6.2%

2 Row planting 2100 6.2%

3 Improved rice varieties 2100 6.2%

4 Rice seed selection 2100 6.2%

5 Chemical fertilizer application 2100 6.2%

6 Composting/organic residue management 2100 6.2%

7 Irrigation management 2100 6.2%

8 Water management for rice 2100 6.2%

9 Drying at post-harvest 2100 6.2%

10 Storage facilities 2100 6.2%

11 Pest control for post-harvest 2100 6.2%

12 Advice on output prices 2100 6.2%

13 Advise on input prices 2100 6.2%

14 Collective marketing/group sale 2100 6.2%

15 Information where to sell 2100 6.2%

16 Credit from local Bank, Micro-Finance, or Savings Groups 2100 6.2%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# l102: l102 Did you receive any extension assistance or advisory service related to [TY




1 yes 14901 44.3%


# l103_1: l103 What was the media? Check the most important one.




1 In person 13754 92.3%

2 TV 493 3.3%

3 Radio 643 4.3%

4 Phone 11 0.1%

5 Billboards 0


-

File : harvest_module_l1_2012# l103_2: l103 What was the media? Check the most important one.




1 In person 31 19.9%

2 TV 25 16.0%

3 Radio 99 63.5%

4 Phone 1 0.6%

5 Billboards 0






1 In person 1 14.3%

2 TV 1 14.3%

3 Radio 5 71.4%

4 Phone 0

5 Billboards 0


# l104_1: l104 Who provided the extension service/advice?




1 Neighbours 2570 18.6%

2 Local authority 203 1.5%

3 NGOs 3361 24.4%

4 Friends 207 1.5%

5 HARVEST program 3820 27.7%

6 Trader 651 4.7%

7 Provincial Department of Agriculture 1127 8.2%

8 Self-study 1694 12.3%

9 Others 162 1.2%








929

File : harvest_module_l1_2012# l104_2: l104 Who provided the extension service/advice?


# l105: l105 Did you pay for the service?InformationStatistics [NW/ W]



# l106: l106 If so, how much did you pay? (0000 Riels)InformationStatistics [NW/ W]

[Type= discrete] [Format=numeric] [Range= 0.800000011920929-2] [Missing=*][Valid=3 /-] [Invalid=33597 /-]


# l107: l107 After receiving the advice, did you follow it or adopted the practices?InformationStatistics [NW/ W]



-


3 NGOs 173 13.9%

4 Friends 62 5.0%


6 Trader 123 9.9%


8 Self-study 197 15.8%

9 Others 9 0.7%

Sysmiss 32352


1 yes 3 0.0%

2 no 13794 100.0%

Sysmiss 19803


0.800000011920 1 33.3%

2 2 66.7%

Sysmiss 33597


1 yes 8925 59.9%

2 no 5976 40.1%

Sysmiss 18699

-




# l201: l201 items




1 Disease and pest control for vegs 2100 7.7%

2 Improved vegs varieties 2100 7.7%

3 Seed selection / production 2100 7.7%

4 Chemical fertilizer application 2100 7.7%

5 Composting/organic residue management 2100 7.7%

6 Water management for vegetables 2100 7.7%

7 Classification of products 2100 7.7%

8 Package / transportation 2100 7.7%



11 Collective marketing /group sale 2100 7.7%







1 yes 10417 38.2%






1 9992 95.9%

2 216 2.1%

3 204 2.0%

4 5 0.0%

5 Billboards 0





-



1 8 17.4%

2 16 34.8%

3 22 47.8%

5 Billboards 0






1 1 16.7%

3 5 83.3%

5 Billboards 0








3 NGOs 1903 19.0%

4 Friends 137 1.4%


6 Trader 241 2.4%



9 Others 68 0.7%








3 NGOs 115 17.3%

4 Friends 50 7.5%


6 Trader 58 8.7%


- 300 -




9 Others 4 0.6%


# l205: l205 Did you pay for the service?




# l206: l206 If so, how much did you pay? (0000 Riels)

Information [Type= discrete] [Format=numeric] [Missing=*]




# l207: l207 After receiving the advice, did you follow it or adopted the practices?





1 yes 0

2 no 10005 100.0%

Sysmiss 17295


1 yes 6652 63.9%

2 no 3765 36.1%

Sysmiss 16883

-




# l301: l301 items




1 Fishery techniques 2100 10.0%

2 Pond construction 2100 10.0%

3 Pond management 2100 10.0%

4 Drying at post-harvest 2100 10.0%

5 Storage facilities 2100 10.0%



8 Collective marketing 2100 10.0%







1 yes 2224 10.6%






1 In person 2158 97.1%

2 TV 63 2.8%

3 Radio 2 0.1%

4 Phone 0

5 Billboards 0






1 In person 0

2 TV 0

-



3 Radio 2 100.0%

4 Phone 0

5 Billboards 0






1 In person 1 100.0%

2 TV 0

3 Radio 0

4 Phone 0

5 Billboards 0








3 NGOs 265 12.3%

4 Friends 24 1.1%


6 Trader 19 0.9%



9 Others 7 0.3%








3 NGOs 18 27.7%

4 Friends 7 10.8%


6 Trader 2 3.1%



# l305: l305 Did you pay for the service?InformationStatistics [NW/ W]



# l306: l306 If so, how much did you pay? (0000 Riels)InformationStatistics [NW/ W]

[Type= discrete] [Format=numeric] [Missing=*][Valid=0 /-] [Invalid=21000 /-]

ValueSysmiss

Label Cases21000

Percentage


# l307: l307 After receiving the advice, did you follow it or adopted the practices?InformationStatistics [NW/ W]



-




9 Others 0

Sysmiss 20935


1 yes 0

2 no 2160 100.0%

Sysmiss 18840


1 yes 1253 56.3%

2 no 971 43.7%

Sysmiss 18776

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