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ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-SEVENTH SESSION Nadi, Fiji, 19 23 March 2018 Agenda Item 9.3 Establishment of Database to Promote Utilization of Agricultural Census Data, examples from Japan Census 2015 Contributed by: Yasuhiro Miyake, Deputy Director, Planning Statistics Division, Ministry of Agriculture, Forestry and Fisheries (MAFF) in Japan [email protected] APCAS/18/9.3.3P

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Page 1: ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS · 2018-05-28 · ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-SEVENTH SESSION Nadi, Fiji, 19 ± 23 March 2018

ASIA AND PACIFIC COMMISSION ON

AGRICULTURAL STATISTICS

TWENTY-SEVENTH SESSION

Nadi, Fiji, 19 – 23 March 2018

Agenda Item 9.3

Establishment of Database to Promote Utilization of

Agricultural Census Data, examples from Japan Census

2015

Contributed by:

Yasuhiro Miyake, Deputy Director,

Planning Statistics Division, Ministry of Agriculture,

Forestry and Fisheries (MAFF) in Japan

[email protected]

APCAS/18/9.3.3P

Page 2: ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS · 2018-05-28 · ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-SEVENTH SESSION Nadi, Fiji, 19 ± 23 March 2018

Contents of Presentation

1. Background of Agricultural Census

2. Outline of Agricultural Census

3. Overview of 2015 Agricultural Census

4. Feature of Database

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Page 3: ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS · 2018-05-28 · ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-SEVENTH SESSION Nadi, Fiji, 19 ± 23 March 2018

1. Background of Agricultural Census

• Agricultural situation

• Total agricultural output: 9.20 Trillion yen (2016)

• Number of farm households: 2.16 Million (2015)

• Number of population engaged in farming: 2.10 Million (2015)

• Male: 1.09 M (52%)

• Female: 1.01 M (48%)

• Cultivated land area: 4.44 Million ha (2017)

• Paddy field: 2.418 M (54%)

• Upland: 2.026 M (46%)

18 May 2015 This is the name of the Conference 3

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1. Background of Agricultural Census (Cont.)

• Administrative divisions of Japan

• Bureaucratic administration is divided into three levels

• National level

• Prefectural level

• Municipal level

Agricultural Census planned by MAFF is conducted through this administrative channel

18 May 2015 This is the name of the Conference 4

Page 5: ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS · 2018-05-28 · ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-SEVENTH SESSION Nadi, Fiji, 19 ± 23 March 2018

2. Role of Agricultural Census in Japan

• History

• Japan has been implementing the Census of Agriculture and Forestry every 5 years since 1950.

• 7 world census (1950, 1960, 1970, 1980, 1990, 2000, 2010)

• 7 intermediate census (1955, 1965, 1975, 1985, 1995, 2005, 2015)

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Page 6: ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS · 2018-05-28 · ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-SEVENTH SESSION Nadi, Fiji, 19 ± 23 March 2018

2. Role of Agricultural Census in Japan (Cont.)

• Basic Objective

• To grasp the basic structure and situation of agriculture, forestry and rural areas

• To compile small area statistics and promote local agriculture policy

• To acquire population information for effective use in sampling surveys

• To make statistics available for international comparison

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3. Overview of 2015 Agricultural Census

• Survey Date

• As of February 1, 2015

• Data collection from Dec. of 2014 to Feb. of 2015

• Types of survey 1. Survey of Agriculture and Forestry Management Entities

2. Survey of Rural Areas

a. Municipality questionnaire

b. Rural Communities questionnaire

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Page 8: ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS · 2018-05-28 · ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-SEVENTH SESSION Nadi, Fiji, 19 ± 23 March 2018

3. Overview of 2015 Agricultural Census (Cont.)

• Survey System

1. Survey of Agriculture and Forestry Management Entities

• Survey Respondent: Management entities

• Method: Enumerators distribute the questionnaires and collect the results. The response to the questionnaire can be reported on-line in certain designated areas (31 Munisiparities).

2. Survey of Rural Area (Municipality questionnaire)

• Survey Respondent: All municipalities (1,896)

• Method: Distribution of the questionnaires and collection of the results on-line or by mail from regional centers

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3. Overview of 2015 Agricultural Census (Cont.)

• Survey System (Cont.)

3. Survey of Rural Area (Rural community questionnaire)

• Survey Respondent: All rural communities (138,256)

• Method: Enumerators distribute the questionnaires and collect the results. However, interview surveys may also be conducted when such request is made by an expert of rural communities.

Report of 2015 Agricultural Census (English):

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Url: https://www.e-stat.go.jp/en/stat-

search/files?page=1&layout=datalist&toukei=00500209&tstat=00000103

2920&cycle=0&tclass1=000001077437&tclass2=000001097415

Page 10: ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS · 2018-05-28 · ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-SEVENTH SESSION Nadi, Fiji, 19 ± 23 March 2018

4. Feature of Database

• Background

• Many dataset related agriculture and rural area are created by Ministries (MAFF, MIC, METI, MLIT)

• Un unified small area estimation by survey (Such as Rural community, Basic unit block, Area mesh)

• Agricultural Census has index of rural community

Develop new Database to integrate data

from different survey

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4. Feature of Database (Cont.)

• Background (Cont.)

• Rural community (MAFF)

• Refers to a rural society within the municipal area based on agriculture. Rural community is a fundamental unit of social life that formed various groups and social relationships, which originally was a spontaneously established local community with ties in the territorial and blood connections.

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Ibaraki city in Osaka Pref.

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4. Feature of Database (Cont.)

• Background (Cont.)

• Basic unit block (Population Census)

• BUBs are statistical blocks delineated by clear and stable geographic characteristics and landmarks such as roads, railways, rivers, etc. to establish smallest permanent geographic units.

• One BUB comprises around 20-30 households generally (but not necessarily).

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4. Feature of Database (Cont.)

• Background (Cont.)

• Area mesh

(Population Census, Economic Census)

• To compile Grid Square Statistics, the whole area of Japan is divided into square areas based on longitudinal lines drawn at every 1/80 degree and latitudinal lines drawn at every 1/120 degree. The areas thus defined are nearly equal to 1 square kilometer in the range of latitudes where Japan is located. This grid square is called the Basic Grid Square.

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Northern part of Osaka Pref.

Page 14: ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS · 2018-05-28 · ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-SEVENTH SESSION Nadi, Fiji, 19 ± 23 March 2018

4. Feature of Database (Cont.)

• Only database to compare various kinds of information by Rural Community

• MAFF prorate related survey data and administrative information into each rural community

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Economic Census

Minimum area

of calculation:

Enumeration Area

Prorate

Rural

Community

Rural

Community

Enumeration

Area

Page 15: ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS · 2018-05-28 · ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-SEVENTH SESSION Nadi, Fiji, 19 ± 23 March 2018

4. Feature of Database (Cont.)

15

Index of Rural

Community

Agricultural Census Economic Census

Number of enterprises

and sales industrial

division

Population Census

Population by age

Employed persons by

type of industry

Information on

Agricultural Multi-

functionality Payment

Survey on Agriculture

Infrastructure Information

Area of readjusted land

Information on Direct

payment for hilly and

mountainous areas

Page 16: ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS · 2018-05-28 · ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-SEVENTH SESSION Nadi, Fiji, 19 ± 23 March 2018

4. Feature of Database (Cont.)

• Dedicated Relational Database has not introduced

• ALL data is provided through MAFF web site:

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4. Feature of Database (Cont.)

• Data is compiled by prefecture (47) into Excel file

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_ okkaido xcel:K

_ omori xcel:K

_ wate xcel:K

_ iyagi xcel:K

_ kita xcel:K

_Yamagata xcel:K

_ ukushima xcel:K

_ baraki xcel:K

_Tochigi xcel:K

_ unma xcel:K

_Saitama xcel:K

_ hiba xcel:K

_Tokyo xcel:K

_Kanagawa xcel:K

_ iigata xcel:K

_Toyama xcel:K

_ shikawa xcel:K

_ ukui xcel:K

_Yamanashi xcel:K

_ agano xcel:K

_ ifu xcel:K

_Shizuoka xcel:K

_ ichi xcel:K

_ ie xcel:K

_Shiga xcel:K

_Kyoto xcel:K

_ saka xcel:K

_ yogo xcel:K

_ ara xcel:K

_Wakayama xcel:K

_Tottori xcel:K

_Shimane xcel:K

_ kayama xcel:K

_ iroshima xcel:K

_Yamaguchi xcel:K

_Tokushima xcel:K

_Kagawa xcel:K

_ hime xcel:K

_Kochi xcel:K

_ ukuoka xcel:K

_Saga xcel:K

_ agasaki xcel:K

_Kumamoto xcel:K

_ ita xcel:K

_ iyazaki xcel:K

_Kagoshima xcel:K

_ kinawa xcel:K

1.Agricultural Management Entity

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4. Feature of Database (Cont.)

• Data format

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Index Prefecture City Rural

Community

Name of

Prefecture

Name of

City

Name of Rural Community Total Data 1 Data 2 Data 3 Data 4

0800000000 08 000 000 茨城県 58129 20315 37750 64 57989

0800000999 08 000 999 茨城県 霞ヶ浦 非認定 - - - - -

0820100000 08 201 000 茨城県 水戸市 2666 927 1739 - 2666

0820101000 08 201 000 茨城県 水戸市 28 2 26 - 28

0820101001 08 201 001 茨城県 水戸市 柵町一、二、三、四町目、大手町 - - - - -

0820101002 08 201 002 茨城県 水戸市 柵町五,六町目 - - - - -

0820101003 08 201 003 茨城県 水戸市 霞町北三の丸 - - - - -

0820101004 08 201 004 茨城県 水戸市 銀否、宮下、奈良屋町、南三の丸 - - - - -

0820101005 08 201 005 茨城県 水戸市 黒羽根,田見小路,その他 町 - - - - -

Header section Data section

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Copy & Past

KEY PREF CITY AGRI PREF_NAMCITY_NAMEAGRI_NAMYear

Total No.

of

Enterpris

e

Agricultur

e and

forestry

Agricultur

eForestry Fisheries Mining

080000000008 000 000 茨城県 非認定 2012 118063 794 771 23 39 79

080000099908 000 999 茨城県 非認定 霞ヶ浦 非認定 2012 0 0 0 0 0 0

082010000008 201 000 茨城県 水戸市 2012 13239 17 16 1 0 1

082010100008 201 000 茨城県 水戸市 2012 4668 2 1 1 0 0

082010100108 201 001 茨城県 水戸市 柵町一、二、三、四町目、大手町2012 487 0 0 0 0 0

082010100208 201 002 茨城県 水戸市 柵町五,六町目2012 53 0 0 0 0 0

082010100308 201 003 茨城県 水戸市 霞町北三の丸 2012 78 0 0 0 0 0

082010100408 201 004 茨城県 水戸市 銀否、宮下、奈良屋町、南三の丸2012 333 0 0 0 0 0

082010100508 201 005 茨城県 水戸市 黒羽根,田見小路,その他 町2012 676 0 0 0 0 0

4. Feature of Database (Cont.)

• Easy to integrate necessary data from different survey

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Index Prefecture City Rural

Community

Name of

Prefecture

Name of

City

Name of Rural Community Total Data 1 Data 2 Data 3 Data 4

0800000000 08 000 000 茨城県 58129 20315 37750 64 57989

0800000999 08 000 999 茨城県 霞ヶ浦 非認定 - - - - -

0820100000 08 201 000 茨城県 水戸市 2666 927 1739 - 2666

0820101000 08 201 000 茨城県 水戸市 28 2 26 - 28

0820101001 08 201 001 茨城県 水戸市 柵町一、二、三、四町目、大手町 - - - - -

0820101002 08 201 002 茨城県 水戸市 柵町五,六町目 - - - - -

0820101003 08 201 003 茨城県 水戸市 霞町北三の丸 - - - - -

0820101004 08 201 004 茨城県 水戸市 銀否、宮下、奈良屋町、南三の丸 - - - - -

0820101005 08 201 005 茨城県 水戸市 黒羽根,田見小路,その他 町 - - - - -

Ag Census

Economic Census

Agricultur

eForestry Fisheries

771 23 39

0 0 0

16 1 0

1 1 0

0 0 0

0 0 0

0 0 0

0 0 0

0 0 0

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4. Feature of Database (Cont.)

• Analyze integrated data using function of Excel

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(A) (B) (C) (D)(E) =

(B)/(A)

(F) =

(D)/(C)(F) - (C)

Index Prefecture City Rural

Community

Name of

Prefecture

Name of

City

Name of Rural Community Number of

management

entity (2010)

Total land

area (2010)

Number of

management

entity (2015)

Total land

area (2015)

Average of

land area

(2010)

Average of

land area

(2015)

Difference

0820101001 08 201 001 茨城県 水戸市 柵町一、二、三、四町目、大手町 33 10263 29 22671 311.0 781.8 0

0820101002 08 201 002 茨城県 水戸市 柵町五,六町目 18 7187 17 7709 399.3 453.5 0

0820101003 08 201 003 茨城県 水戸市 霞町北三の丸 3 5925 7 7004 1975.0 1000.6 0

0820101004 08 201 004 茨城県 水戸市 銀否、宮下、奈良屋町、南三の丸 5 2534 5 2894 506.8 578.8 0

0820101005 08 201 005 茨城県 水戸市 黒羽根,田見小路,その他 町 3 4140 3 4100 1380.0 1366.7 0

0820101006 08 201 006 茨城県 水戸市 根本町一区 25 18869 16 10006 754.8 625.4 0

0820101007 08 201 007 茨城県 水戸市 根本町二,三区 14 7627 13 7796 544.8 599.7 0

Integrated data

Page 21: ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS · 2018-05-28 · ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-SEVENTH SESSION Nadi, Fiji, 19 ± 23 March 2018

4. Feature of Database (Cont.)

• Data extraction by conditional format

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Page 22: ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS · 2018-05-28 · ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-SEVENTH SESSION Nadi, Fiji, 19 ± 23 March 2018

4. Feature of Database (Cont.)

• Visualization of Data using GIS software

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Page 23: ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS · 2018-05-28 · ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-SEVENTH SESSION Nadi, Fiji, 19 ± 23 March 2018

4. Feature of Database (Cont.)

• Manual for end-user

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Url:

http://www.machimura.maff.go.jp/shu

rakudata/doc/tebiki_2015.pdf

Page 24: ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS · 2018-05-28 · ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-SEVENTH SESSION Nadi, Fiji, 19 ± 23 March 2018

4. Feature of Database (Cont.)

• Case study for analyzing

Objective: To strengthen collaboration between

large farmer and food industry

Data source:

Agricultural census: Sales amount of agricultural products

Economic census: Sales amount of food industry

Result:

Red circle: Vigorous business activity of food industry

Black circle: agricultural product sales amount is large

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Expectation to

strengthen collaboration

between Red circle area

and Black circle one

Page 25: ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS · 2018-05-28 · ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-SEVENTH SESSION Nadi, Fiji, 19 ± 23 March 2018

Thank you

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