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RADIO AUDIENCE MEASUREMENT SURVEY RAMS TECHNICAL REPORT July 2015 Edition

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Page 1: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

RADIO AUDIENCE MEASUREMENT

SURVEY

RAMS

TECHNICAL REPORT

July 2015 Edition

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TABLE OF CONTENTS

1. INTRODUCTION .................................................................................................................................. …. 1

2. DEFINITION OF TERMS ...................................................................................................................... …. 1-3

Community Size 1 Home Language 1 Household 2 Household Income 2 Household Purchaser 2 Extended Metropolitan Areas 2 Province 2 Radio Listening 2 Time Spent Listening 2 Living Standards Measure (LSM) 3

3. UNIVERSE .......................................................................................................................................... …. 4

Universe 4 Population Update 2014 4 Population and Universe Tables 4

4. THE RAMS SAMPLE ......................................................................................................................... …. 5-7

Introduction 5 Selection of Addresses 5 Selection of Respondents 5 Substitution 6 Disproportional Sampling 6 Sample and Population: RAMS Jun 2015 7

5. SURVEY TECHNIQUE ........................................................................................................................ …. 8

Methodology 8 Respondent Briefing 8 Illiterate Respondents 8 The RAMS Radio Diary Format 8

6. SAMPLE WEIGHTING ........................................................................................................................ …. 9

7. REPORTING FORMAT ....................................................................................................................... …. 9

8. FIELDWORK PERIOD ........................................................................................................................ …. 9

9. RAMS DATABASE ............................................................................................................................. …. 10

Quarter hour audience 10 Nett audience 10 Average quarter hour audience 10 Gross audience 10 Multiple day audience 10

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TABLE OF CONTENTS

10. GOLD STANDARD CALCULATION PROCEDURES ........................................................................ …. 11

Spot Ratings 11 Average Daily Reach 11 Average Weekly Reach 11 Daily/Weekly Frequency 11 Market Share 11

11. RELIABILITY OF ESTIMATES ........................................................................................................... …. 12

Margin of Error 12 12. CRITERIA FOR THE REPORTING OF INDIVIDUAL STATIONS ...................................................... …. 13 13. LIST OF RADIO STATIONS ............................................................................................................... …. 14-19

Commercial/Public Broadcast Stations 14

Community Stations 15-19

Appendix : Sample Weight Factors January-December 2014

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Page 1

Introduction

In 2004, 6 data releases per year were agreed upon for the Radio Audience Measurement Survey. In addition, 2004 heralded the implementation of household “flooding” in large urban areas to expand the RAMS sample size. “Flooding” requires that in addition to placing a diary with the originally sampled respondent in a household, supplementary diaries are also placed and completed by all other adults in the household. From 2004 to 2008, this applied only to the metro, city and large town portion of the sample and diaries were placed with adults aged 16 years and older.

In 2009, two major changes were implemented:

Diary flooding was expanded to include small towns, villages and rural areas.*

The RAMS universe was changed to all adult males and females in the household aged 15 years and older. *

In 2015, there will be 4 RAMS releases. A trended Radio Station Summary will be available electronically for all Commercial/PBS and Community Stations.

Definition of Terms

Community Size

On the database, each respondent is allocated to one of the following 4 groups, according to the size of the community in which he/she lives.

Metropolitan areas 250 000 or more These two groups

combined are also referred to as Large Urban

Cities and Large towns 40 000 - 249 999

Small towns and Villages 500 - 39 999 - Also referred to as Small Urban

Settlements (Less than 500) + Non-urban

- Also referred to as Rural

The fourfold breakdown is used in the electronic reports.

An additional two-fold classification is available on the database:

Large Urban (40 000 or more) Small Urban + Rural (Less than 40 000 + Non-Urban) Note that the RAMS

definition of “Non-urban” comprises both the “Non-urban” and “Tribal”

areas of the Stats SA Population Census.

Home Language

Since 2001, all 11 official languages are available on the release datafiles as follows:

Afrikaans South Sotho Venda English Swazi Xhosa Ndebele Tsonga Zulu

North Sotho Tswana Other The language spoken most often at home is obtained, thus the language breakdowns on the release datafile provide unduplicated data.

* Note: The 15+ data as well as the data for Diary flooding in small towns, villages and

rural areas was available for the first time in the October 2009 RAMS release.

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Household

A household is made up of one or more people who live as a unit in the same home and who share food and other basic household goods. People who live in the same home, but who do not share food and other essential commodities are considered separate households.

Household Income

“Household income” is defined to respondents as the total monthly income of all earners within the household before tax and other deductions but including all sources of income i.e. salaries, pensions, government grants, and income from investments.

In cases of refusal to answer, household income is estimated by interviewers.

Household Purchaser

Any respondent of either gender who claims to be solely or partly responsible for the day-to-day purchases of the household is described as a household purchaser.

There may be more than one person who could claim to be a household purchaser within any given household, but only one would be interviewed.

The RAMS datafile has a filter code for “household purchaser”.

Extended Metropolitan areas

A metropolitan area may be described as a parent municipality together with the adjoining areas which are urban in character and which are economically and socially linked to the parent city or town. It may thus comprise more than one legally constituted local authority.

The following extended metropolitan areas are provided for in the RAMS database:

Bloemfontein

Cape Town

Cape Town Fringe Area

Durban

East London

eMalahleni / Witbank

Greater Johannesburg (Alexandra, Jhb, Sandton, Soweto, Randburg)

Kimberley

Pietermaritzburg

Port Elizabeth / Uitenhage

Pretoria

Reef (Urban Gauteng excl. Jhb, Pta, Vaal)

Soweto

Vaal (Sasolburg, Vanderbijlpark, Vereeniging)

Province The nine provincial boundaries in the RAMS sample coincide with those of Stats SA.

Radio Listening

The following definition of radio listening is included in the Radio Diary: By radio listening we mean…

- That you personally listened to the radio - it may be all of a programme or only part of it.

- It does not matter how you listened to it - via a radio set, a computer , a cellphone, the television, satellite, or any other means - nor does it matter where you listened to it.

Time Spent Listening

The average number of hours people listen to the radio, either across a day, or across a week.

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Living Standards Measure (LSM)

The Living Standards Measure (LSM) scale is a measure to group respondents into ten LSM groups (1 to 10). Twenty-nine variables are used in the construction of the LSM scale. Currently, the twenty-nine variables are:

Var.No.

Attribute

1. Hot running water from a geyser

2. Washing machine

3. Electric Stove

4. Computer - Desktop/ Laptop in home

5. 0 or 1 radio set in household

6. No domestic workers or household helpers in household (this includes live-in and part time domestics and gardeners)

7. Flush toilet in/ outside house

8. TV set

9. Motor vehicle in household

10. Vacuum cleaner/ floor polisher

11. Microwave oven

12. Pay TV (M-Net/DStv/StarSat) subscription

13. House/cluster house/ town house

14. Metropolitan dweller (250 000+)

15. DVD player/ Blu Ray Player

16. Tumble dryer

17. 3 or more cellphones in household

18. Hi-fi/ Music centre

19. Air conditioner (excl. fans)

20. Tap water in house/ on plot

21. Home security service

22. Refrigerator of combined fridge/ freezer

23. Deep freezer – free standing

24. Rural (excl. W. Cape & Gauteng rural)

25. Built-in kitchen sink

26. Home theatre system

27. Home telephone (excl. cellphone)

28. Dishwashing machine

29. Swimming Pool

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Universe

Universe

The RAMS universe covers adults, who are 15 years or older, and who live in South Africa. All private households (houses, cluster houses, townhouses, individual flats), hostels, retirement villages, backyard dwellings, informal dwellings and residential hotels are covered. Domestic workers are included. The universe is updated every year, using the most recent population updates available from demographers, based on projections from the South African Census data. IHS provides the estimates from their Regional eXplorer suite of models.

Population Update 2014

The RAMS Nov 13 survey applied the mid-year 2013 population updates provided by IHS, which incorporated the 2011 Census results from StatsSA. The resultant population updates for 2013 were different to the previous population estimates for a number of demographics and set a new benchmark for all RAMS surveys. Population figures for RAMS Oct 14 were marginally updated using the mid-year 2014 population estimates supplied by IHS. The next update will be with the Nov 2015 RAMS release.

TABLE 1

TOTAL POPULATION OF SOUTH AFRICA

GENDER

TOTAL

'000

MEN '000

WOMEN

'000

2009 (JUN) 2010 (JUN) 2011 (JUN) 2012 (JUN)

2013 (JUN) 2014 (JUN)

48 248

49 917 50 253 50 253

52 971 53 671

24 104

24 067 24 680 24 680

25 743 26 099

24 144

25 850 25 573 25 573

27 228 27 572

TABLE 2

ADULT RAMS UNIVERSE*

GENDER

TOTAL

'000

MEN '000

WOMEN

'000

2009 (JUN)

2010 (JUN) 2011 (JUN) 2012 (JUN)

2013 (JUN) 2014 (JUN)

32 498

34 020 34 934 34 935

37 214 37 665

16 206

16 113 16 879 16 880

17 931 18 169

16 292

17 907 18 055 18 055

19 283 19 496

NOTE: From 2009 (Jun) the RAMS universe includes 15 year olds (previous years included 16+)

As from 2013 (Jun), no minority sub-populations were excluded from the universe.

11

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The RAMS Sample

Introduction For RAMS 2004 up to 2008, a national sample of 12 412 was used in the first half of the year, with household ‘flooding’ in large urban areas, and a further sample of 8 654 in large urban areas only during the second half of the year. To reflect a national radio listening picture in the second half of the year as well, the listening patterns for small urban/rural areas were carried forward from the first half of the year.

Since 2009, a second small urban/rural sample was carried in the second half of the year. This resulted in a national diary keeper sample of over 25 000, with household “flooding” in both urban and rural areas throughout the year. Due to budgetary constraints, the small urban/ rural fieldwork was not conducted during July-December 2013. Once again, to reflect a national radio listening picture in the second half of the year as well, the listening patterns for small urban/rural areas were carried forward from the first half of the year (i.e. from January-June 2013). In 2014, a full national sample was re-introduced for RAMS.

The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected proportionate to the number of adults in the universe, within the nine provinces, and within four community size groupings within province. All metropolitan areas, cities, and large towns (40 000+ populations) are automatically included in the sample. A random selection of smaller urban communities (towns, villages and rural areas) are also chosen. Within each of these strata, an equal number of males and females are included, while age is rotated using a Random Grid to ensure a balanced age spread.

Selection of addresses

The Nielsen GeoFrame is used to select actual addresses or geographical coordinates. The residential addresses in most (but not all) urban communities are listed in the Nielsen GeoFrame, which comprises 7,482,975 addresses. These addresses are arranged alphabetically by suburb and within suburb, by street name. Addresses are drawn from the GeoFrame using a random start, fixed interval technique. One other address is then selected in the immediate vicinity of each address drawn from the Geoframe, to form clusters of two.

For areas not covered in the address register, GPS coordinates are provided. Within a chosen community or magisterial district, a grid is overlaid electronically and random coordinates selected. These coordinates are supplied to the interviewers who use GPS devices to navigate to the specified point. Clusters are formed by instructing interviewers to move three dwellings to the right for the second household. The final coordinates are captured and used to check on the accuracy of the sample selection.

Selection of respondents

Each address is pre-designated as one which is to provide a male or female respondent in equal proportions, with the exception of mines, hostels, and domestics, where the point is allocated either to males or females as relevant.

At each address, the individual with whom the main Radio Diary is placed, is determined by means of a Random Grid using the number of adults of the relevant gender in the household and their age order.

Every respondent in the RAMS sample is requested to complete a Radio Diary.

Supplementary diaries are also placed with all other adult members of the household nationally. This is known as the Household Flooding technique. (Up to 2008, there was no “flooding” in small towns, villages and rural areas - a Radio Diary was placed only with the main respondent).

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Substitution Substitution of originally selected addresses is allowed only after 4 unsuccessful calls. No second selection of respondents is allowed in the same household, if the selected respondent is not available.

When substituting, the address to the left and then to the right of the originally selected dwelling is taken.

In order for substitution to as close as possible resemble the original sample, the same selection procedure is used at the substitute address as at the original address, that is, by means of a Random Grid. However, the random selection is only from those adults of the same gender present in the household at the time the interview is conducted.

Dispro-portional Sampling

To provide sub-samples adequate as bases for separate analysis, disproportional sampling is applied in a number of cases (See Table 3). However, once the data has been collected, it is then weighted back to the true proportions of the population in coverage areas.

TABLE 3

AREAS DISPROPORTIONATELY SAMPLED

AREAS

PROPORTIONAL

SAMPLE DESIGN

GREATER JOHANNESBURG PRETORIA VAAL EMALAHLENI/WITBANK BLOEMFONTEIN KIMBERLEY DURBAN PIETERMARITZBURG PE/UITENHAGE EAST LONDON CAPE TOWN CAPE FRINGE

1 786 1 338

588

149 249 98

1 423

236

613 255

1 759

339

2 408 1 464

732

240 672 616

2 296

624

1 296 720

1 960

640

URBAN RURAL

16 477 9 107

21 520 4 064

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TABLE 4 - Sample and Population – RAMS Jun 2015

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Survey Technique Methodology From 2009 until 2012, fieldwork for RAMS was undertaken nationally throughout the year i.e.

both large urban and small urban/rural areas were covered for all 6 waves. Due to budgetary constraints, RAMS fieldwork during the last 3 waves of 2013 covered only urban areas. For reporting, the latest available 6-month small urban/rural database is combined with the latest two large urban samples, to provide the national report. Respondents are handed a self-completion Radio Diary to fill in over a period of 7 days, for which an incentive is offered. As of 2009, the flooding methodology was expanded to include small towns, villages and rural areas. Supplementary diaries are placed with all adult members of the household nationally. Nationally, the placement of diaries with respondents is spread evenly across the days of the week.

Respondent Briefing

The main respondent and all other adults in the household who are there and available at the time of contact are briefed on how to fill in the Radio Diary. Pages requiring completion are Monday to Sunday pages, as well as “Places Listened Yesterday”, “Past 4 weeks” and “Favourite Radio Stations” pages.

Illiterate Respondents

To provide for illiterate RAMS Diary keepers, interviewers ask another household member who can read and write to assist the respondent on a daily basis with the completion of the diary. If there is no suitable helper in the respondent's household, someone living nearby is recruited to do so. This person is paid a nominal amount for his/her assistance.

The RAMS Radio Diary format

Separate pages are provided for each of seven consecutive days from Monday to Sunday. On each of these pages, respondents fill in details of their radio listening for each quarter hour of the day, from 00h00 to 24h00. A Key Page containing a list of radio station mnemonics is provided, which respondents use to indicate the name of the radio station listened to during a particular quarter hour. On this page, space is also provided for respondents to record their listenership to any radio station other than those listed in the Diary. In addition to the 7 day pages, there are three further pages: one on which the respondents record all the places where they listened to the radio “Yesterday”, one on which they record the radio stations they listened to during the “Past 4 weeks” and the last on which they record their favourite radio station/s, up to a maximum of three stations.

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Sample Weighting

The adult RAMS universe estimates which are provided in Table 2 are used to calculate weights within a series of weighting cells. The following demographic variables are used, all interlaced, to design the weighting matrix: Province : The nine provinces of South Africa Community Size : 250 000+ (Metropolitan) 40 000 - 249 999 (City / Large Town) 500 -39 999 (Small Town / Village) Less than 500 (Rural) Gender : Male, female Age : 15-24, 25-34, 35-49, 50+ Language : Two groups, where relevant

Reporting Format

RAMS results will be released electronically to the computer bureaux 4 times in 2015. Reporting is on rolling data i.e. for each release, reporting is on two interviewing waves. Because the fieldwork extends across a number of weeks, usually 10, all the RAMS results reflect average audiences across the entire fieldwork period. In addition, station audiences for the total population are provided electronically for all national and community radio stations.

Fieldwork Period Fieldwork for the four 2015 waves of RAMS take place during January-March, April-June,

July-September and September-December.

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RAMS Database

Detailed analysis of results can be done using the electronic database which is available on the day of the industry presentation. The following codes are available on the RAMS

databases:

Radio stations listened to during a 7-day period

Times listened to each station, for each day of the week, for each quarter hour of the day from 00h00 to 24h00

Radio stations listened to in the past 4 weeks

Favourite radio stations

The data can be analysed in the following ways:

Quarter hour audience

This is the number of listeners to a station during one particular quarter hour. The calculation is done by adding the weights of respondents who listened during a specific quarter hour.

Nett audience The nett audience is an unduplicated audience, because a listener is counted only once, even if he/she listened to more than one quarter hour of a programme.

Average quarter hour audience

To calculate the average quarter hour audience, the listeners of each quarter hour are added together and then the total is divided by the number of quarter hours you are looking at or analysing.

Gross audience

To calculate this, the number of listeners per quarter hour are added up, across a programme, a day or a week. Duplication is possible as the same person can be listening during more than one quarter hour.

Multiple day audience

The same quarter hour audience is calculated separately for each day of the week.

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Gold Standard Calculation Procedures The basic inputs to the Radio Reach, Frequency and Share calculations are described below.

Spot Ratings These are required for every spot in the schedule. For the quarter hour in which the spot was transmitted and within the analysis universe: Spot reach = 100 x Nett Audience Population

Average Daily Reach

Required for each of Monday to Sunday. Daily reach = 100 x Nett Daily Audience Population

Average Weekly Reach

Weekly reach = 100 x Nett Weekly Audience Population

Daily/ Weekly Frequency

Frequency = Sum of Quarter Hours Reach

Market Share

Market shares are based on average listening for the period you are interested in. So for example if you needed the market Share for Monday to Friday, you would calculate the gross quarter hour listening for an average Monday to Friday for each released station plus “other radio” and “other community radio” by summing all the quarter hour listening for each individual day, Monday through Friday. Then percentage each station’s gross on the total radio gross to obtain the share.

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Reliability of Estimates

All sample surveys are subject to sampling errors. However, if a probability sampling technique is used, it is possible to calculate the size of the sampling error which applies to a specific sample. All the samples for RAMS are probability samples for which error margins can be calculated.

Two variables, the numerical size of the sample and the level of penetration which was measured, play a role in the size of the sampling error of a specific sample. The following formula is used to calculate the sampling error:

sampling error = p x (100 - p) x 1,96 n

where: p = penetration level or percentage of listeners

n = sample size Table 5 can be used to obtain an estimate of the margin of error for rounded sample sizes, without doing the calculation.

TABLE 5

MARGIN OF ERROR AT THE 95% CONFIDENCE LEVEL

Penetration

99%

or

1%

98%

or

2%

96%

or

4%

94%

or

6%

92%

or

8%

90%

or

10%

85%

or

15%

80%

or

20%

75%

or

25%

70%

or

30%

65%

or

35%

60%

or

40%

55%

or

45%

50%

or

50%

Sample Size % % % % % % % % % % % % % %

40

100

200

3.1

2.0

1.4

4.3

2.7

1.9

6.1

3.8

2.7

7.4

4.7

3.3

8.4

5.3

3.8

9.3

5.9

4.2

11.1

7.0

4.9

12.4

7.8

5.5

13.4

8.5

6.0

14.2

9.0

6.4

14.8

9.3

6.6

15.2

9.6

6.8

15.4

9.8

6.9

15.5

9.8

6.9

300

400

500

1.1

1.0

0.9

1.6

1.4

1.2

2.2

1.9

1.7

2.7

2.3

2.1

3.1

2.7

2.4

3.4

2.9

2.6

4.0

3.5

3.1

4.5

3.9

3.5

4.9

4.2

3.8

5.2

4.5

4.0

5.4

4.7

4.2

5.5

4.8

4.3

5.6

4.9

4.4

5.7

4.9

4.4

1000

1500

2000

0.6

0.5

0.4

0.9

0.7

0.6

1.2

1.0

0.9

1.5

1.2

1.0

1.7

1.4

1.2

1.9

1.5

1.3

2.2

1.8

1.6

2.5

2.0

1.8

2.7

2.2

1.9

2.8

2.3

2.0

3.0

2.4

2.1

3.0

2.5

2.1

3.1

2.5

2.2

3.1

2.5

2.2

2500

3000

3500

0.4

0.4

0.3

0.5

0.5

0.5

0.8

0.7

0.6

0.9

0.8

0.8

1.1

1.0

0.9

1.2

1.1

1.0

1.4

1.3

1.2

1.6

1.4

1.3

1.7

1.5

1.4

1.8

1.6

1.5

1.9

1.7

1.6

1.9

1.8

1.6

2.0

1.8

1.6

2.0

1.8

1.7

4000

4500

5000

0.3

0.3

0.3

0.4

0.4

0.4

0.6

0.6

0.5

0.7

0.7

0.7

0.8

0.8

0.8

0.9

0.9

0.8

1.1

1.0

1.0

1.2

1.2

1.1

1.3

1.3

1.2

1.4

1.3

1.3

1.5

1.4

1.3

1.5

1.4

1.4

1.5

1.5

1.4

1.5

1.5

1.4

5500

6000

6500

0.3

0.3

0.2

0.4

0.4

0.3

0.5

0.5

0.5

0.6

0.6

0.6

0.7

0.7

0.7

0.8

0.8

0.7

0.9

0.9

0.9

1.1

1.0

1.0

1.1

1.1

1.1

1.2

1.2

1.1

1.3

1.2

1.2

1.3

1.2

1.2

1.3

1.3

1.2

1.3

1.3

1.2

7000

7500

8000

0.2

0.2

0.2

0.3

0.3

0.3

0.5

0.4

0.4

0.6

0.5

0.5

0.6

0.6

0.6

0.7

0.7

0.7

0.8

0.8

0.8

0.9

0.9

0.9

1.0

1.0

0.9

1.1

1.0

1.0

1.1

1.1

1.0

1.1

1.1

1.1

1.2

1.1

1.1

1.2

1.1

1.1

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Page 13

Criteria for the Reporting of Individual Stations

All licensed (by ICASA) and on-air radio stations have a listenership figure in the RAMS Radio Services Report. The criterion for releasing a radio station on the database is a minimum of 40 7-day listeners to that station. Users are however warned that whilst incidence figures within demographic groups have a reasonably small margin of error, profile data for stations with a small respondent base close to 40 could have a margin of error at the 50% level of plus or minus 15.5%.

12. 3.

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List of Radio Stations Commercial /

Public Broadcast

Stations

The following 40 Commercial / Public Broadcast radio stations appeared in the Jan-Jun 2015

Radio Diary.

These are the station names as confirmed for Jan-Jun 2015.

They are listed alphabetically.

Note: * = New on Jan-Jun 2015 Diary

5FM 657AM Radio Pulpit / Radiokansel 702 (Talk Radio 702) 947 (94.7 Highveld Stereo) 99.2 YFM Algoa FM (Radio Algoa) Algoa FM (The Border Drive) CapeTalk (567 CapeTalk) Capricorn FM Classic FM 102.7 East Coast Radio Gagasi FM Good Hope FM Heart 104.9 FM iKwekwezi FM Jacaranda FM Kaya FM 95.9 Kfm (94.5 Kfm) Lesedi FM Ligwalagwala FM LM Radio *

Lotus FM Magic828AM *

Metro FM Motsweding FM Munghana Lonene FM North West FM OFM Phalaphala FM Power 98.7 Radio 2000 Rise FM (previously MPowerFM) RSG SAfm Smile 90.4FM Thobela FM trufm Ukhozi FM Umhlobo Wenene FM Vuma 103 FM

Page 18: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Page 15

List of Radio Stations (Cont.) Community

Stations

The following 239 community radio stations appeared in the Jan-Jun 2015 Radio Diary.

These are the station names as confirmed for Jan-Jun 2015.

They are listed alphabetically within province. All of these radio stations are licensed (list

provided by ICASA Broadcasting Division).

Note: * = New on Jan-Jun 2015 Diary

MPUMALANGA

99.3FM Kosmos Stereo 100.5FM Stereo (Radio Laeveld) Barberton Community Radio (BCR 104.1FM) Ekasi FM *

Emalahleni FM Greater Middelburg FM 89.7 iKuthani FM * Inakekelo FM *

Kangala Community Radio Services Kasi FM 107.3 Kriel Info Radio Mash FM Stereo MP East Community Radio Nkomazi FM Radio Alpha 97.8 FM (Alfa-Alfa) Radio Bushbuckridge Radio Ermelo 104 FM Stereo Radio Kragbron 93.1/104.9FM Stereo Secunda FM Standerton Info Radio

LIMPOPO

Botlokwa Community Radio Station Comrad Tshepo Don’t Blame God Ministries FM * Energy FM *

GCR FM Greater Lebowakgomo Community Radio (GLFM 89.8 Mhz) Greater Tzaneen FM (GTFM 104.8) GYFM Hlanganani FM Lephalale FM Makhado FM 107.3 Mala FM 101 Maruleng FM Mascom FM (Masemola FM) Mohodi Community Radio 98.8 FM Mokopane Community Radio Station Moletsi Community Media Moutse Community Radio Station Musina FM Phalaborwa FM (PFM) Radio Turf Sekgosese Community Radio Sekhukhune Community Radio (SK FM) Thabantsho Community Radio *

Tubatse FM Univen Community Radio 99.8 FM Vuwani Community Radio *

Waterberg Stereo 104.9 FM Zebediela Community Radio

Page 19: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Page 16

List of Radio Stations (Cont.)

GAUTENG

101.9 Chai FM 103 Hope FM 91.9 Lekker FM *

Alex FM ArrowLine Chinese Radio Station Bagaka FM *

Eastwave Radio 92.2 FM eK FM 103.6 Eldos FM Community Radio Ga-Rankuwa Community Radio *

Grootfm 90.5 Hellenic Radio Hot 91.9 FM *

IFM 102.2 Impact Radio 103 FM Jozi FM Kasie FM 97.1 Kofifi FM 97.2 Lekoa FM *

Lenz FM 93.6 Mams FM Merafong FM 106.5 Midcities 107.4FM Mix 93.8 FM Mogale FM Oos-Rand Stereo 93.9FM Open Heaven Pheli FM *

Radio 1584 Radio Islam MW 1548 Radio Pretoria Radio Today Radio Veritas Rainbow FM 90.7 River FM Rock FM 91.9 Sedibeng FM *

Sloot FM Soshanguve Community Radio Thetha FM 100.6 Tshwane FM 93.6 Tuks FM 107.2 TUT FM 96.2 UJFM 95.4 VCR 90.6FM Stereo Voice of Tembisa FM Voice of Wits (VOW FM) 90.5 VUT FM 96.9

Page 20: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Page 17

List of Radio Stations (Cont.)

NORTH-WEST

Aganang FM Bojanala FM 90.6 *

Bophirima FM Bosveld Stereo 107.5FM Diamond FM *

Kgatleng FM KopanongFM Legae La Botshabelo FM 100.4 Mhz Lethabong Community Radio Letlhabile Community Radio Lichvaal Stereo-92.6FM Life FM Madibeng FM *

Mafisa FM 93.4 Mahikeng Community Radio 96.7 Mmabatho FM Modiri FM Moretele Community Radio 106.6 FM Motsitle FM NWU FM PUKfm 93.6 Star FM 102.9 Vaaltar FM (VTR FM) Village FM

FREE STATE

CUT FM * Gold FM *

Karabo FM Koepel Stereo (KSFM 94.9) Kovsie FM 97.0 Lentswe Community Radio Mosupatsela FM Stereo Motheo FM Mozolo FM Naledi FM Overvaal Stereo QwaQwa Radio Radio Maluti 97.1 FM *

Radio Panorama 107.6 FM Radio Rosestad 100.6 FM Setsoto FM Stereo The Rock Community Radio

Page 21: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Page 18

List of Radio Stations (Cont.)

KWAZULU-NATAL

DYR 105.1 FM East Griqualand *

Good News Community Radio (GNCR) 93.6FM Highway Radio 101.5FM Hindvani Icora FM Imbokodo 96.8FM Inanda 88.4 FM Itheku FM *

Izwi LoMzansi 98.0 FM KZN Capital 104FM KZN FM *

Maputaland Community Radio 107.6 FM Newcastle Community Radio Nguna FM *

Nkandla FM Nkungumathe FM Nongoma FM 88.3 Nqubeko Community Radio *

Nquthu Community Radio Radio Al Ansaar Radio Khwezi Radio Sunny South 97.0 FM Shine FM Siyathuthuka FM 97.6 Ugu Youth Radio 93.4FM Ukhahlamba Community Radio *

Umgungundlovu Community Radio (U107.6 FM) UYFM *

Vibe FM 94.7 Zululand FM 97.0

EASTERN CAPE

Alfred Nzo Community Radio 98.3/93.8 FM Bayfm 107.9 eKhephini Community Radio Forte Community Radio IFM Inkonjane 100.5 FM Izwi Lethemba Christian Community Radio Khanya Community Radio Kingfisher FM Kouga FM Kowie FM 99 Dot Zero Kumkani LA – FM 107.2 Link FM Lukhanji 93.7 FM Mdantsane FM Ngqushwa FM *

Nkqubela Community Radio Station PE FM 87.6 Radio Graaff-Reinet Radio Grahamstown RMR 89.7FM (Rhodes Music Radio) Sajonisi Youth Radio 88.5 FM Sunshine FM *

Takalani Community Radio (TCR FM) 98.2 Mhz Unique FM Unitra Community Radio (UCR-FM) Vukani Community Radio Wild Coast FM

Page 22: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Page 19

List of Radio Stations (Cont.)

NORTHERN CAPE

Kurara FM Radio Kaboesna Radio NFM 98.1 Radio Orania Radio Riverside 98.2FM Radio Teemaneng Stereo 89.1 FM Renosterberg Community Radio *

Revival FM Ulwazi FM 88.9 X-K FM 107.9

WESTERN CAPE

729 Cape Pulpit / Kaapse Kansel 97.3 FM Top Stereo Bok Radio 98.9FM Bush Radio 89.5 FM CCFM 107.5 Eden FM Fine Music Radio Gateway Radio 89.6 FM Heartbeat FM Hope Radio Knysna FM 97.0 MC90.3FM MFM 92.6 Radio 786 Radio Atlantis 107.9 (RAFM) Radio Gamkaland 87.6FM Radio Helderberg 93.6FM Radio Houtstok Radio KC 107.7 FM Radio Namakwaland 93.4FM Radio Overberg 98.4FM Radio Tygerberg 104 FM Radio West Coast 92.3 FM Radio Zibonele RKPfm (Radio Kaap se Punt) SFM (Suidkaap FM) The Voice of the Cape UCT Radio 104.5FM Valley FM Whale Coast FM Witzenberg Radio

Page 23: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

APPENDIX

SAMPLE WEIGHT FACTORS

Page 24: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Table 37

Province Area Sex Age Population Language Factor

EC E.L./P.E./UIT Female 15-34 Ind Afr/Oth 503

EC E.L./P.E./UIT Female 35+ Ind Afr/Oth 377

EC E.L./P.E./UIT Male 15-34 Ind Afr/Oth 527

EC E.L./P.E./UIT Male 35+ Ind Afr/Oth 257

EC East London Female 15-24 Blk Afr/Oth 539

EC East London Female 25-34 Blk Afr/Oth 661

EC East London Female 35-49 Blk Afr/Oth 724

EC East London Female 50+ Blk Afr/Oth 712

EC East London Male 15-24 Blk Afr/Oth 474

EC East London Male 25-34 Blk Afr/Oth 697

EC East London Male 35-49 Blk Afr/Oth 890

EC East London Male 50+ Blk Afr/Oth 745

EC East London Female 15-24 Col Afr/Oth 236

EC East London Female 25-34 Col Afr/Oth 324

EC East London Female 35-49 Col Afr/Oth 236

EC East London Female 50+ Col Afr/Oth 219

EC East London Male 15-24 Col Afr/Oth 259

EC East London Male 25-34 Col Afr/Oth 211

EC East London Male 35-49 Col Afr/Oth 297

EC East London Male 50+ Col Afr/Oth 280

EC East London Female 15-24 Whi Afr/Oth 408

EC East London Female 25-34 Whi Afr/Oth 343

EC East London Female 35-49 Whi Afr/Oth 401

EC East London Female 50+ Whi Afr/Oth 287

EC East London Male 15-24 Whi Afr/Oth 273

EC East London Male 25-34 Whi Afr/Oth 318

EC East London Male 35-49 Whi Afr/Oth 479

EC East London Male 50+ Whi Afr/Oth 224

EC EC City/LT Female 15-24 Blk Afr/Oth 1363

EC EC City/LT Female 25-34 Blk Afr/Oth 1802

EC EC City/LT Female 35-49 Blk Afr/Oth 1534

EC EC City/LT Female 50+ Blk Afr/Oth 1423

EC EC City/LT Male 15-24 Blk Afr/Oth 876

EC EC City/LT Male 25-34 Blk Afr/Oth 1330

EC EC City/LT Male 35-49 Blk Afr/Oth 1561

EC EC City/LT Male 50+ Blk Afr/Oth 1307

EC EC City/LT Female 15-34 C/I Afr/Oth 529

EC EC City/LT Female 35-49 C/I Afr/Oth 283

EC EC City/LT Female 50+ C/I Afr/Oth 263

EC EC City/LT Male 15-34 C/I Afr/Oth 691

EC EC City/LT Male 35-49 C/I Afr/Oth 329

EC EC City/LT Male 50+ C/I Afr/Oth 143

EC EC City/LT Female 15-34 Whi Afr/Oth 366

EC EC City/LT Female 35+ Whi Afr/Oth 216

EC EC City/LT Male 15-34 Whi Afr/Oth 343

EC EC City/LT Male 35+ Whi Afr/Oth 376

EC EC Rural Female 15-24 Blk Afr/Oth 5538

EC EC Rural Female 25-34 Blk Afr/Oth 4346

EC EC Rural Female 35-49 Blk Afr/Oth 3039

EC EC Rural Female 50+ Blk Afr/Oth 5459

EC EC Rural Male 15-24 Blk Afr/Oth 4472

EC EC Rural Male 25-34 Blk Afr/Oth 4270

EC EC Rural Male 35-49 Blk Afr/Oth 2977

EC EC Rural Male 50+ Blk Afr/Oth 3334

Weight Factors Adults

PAGE 67

Page 25: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Province Area Sex Age Population Language Factor

EC EC Rural Female 15-34 C/I Afr/Oth 1156

EC EC Rural Female 35+ C/I Afr/Oth 587

EC EC Rural Male 15-34 C/I Afr/Oth 1068

EC EC Rural Male 35-49 C/I Afr/Oth 507

EC EC Rural Male 50+ C/I Afr/Oth 923

EC EC Rural Female 15-34 Whi Afr/Oth 1121

EC EC Rural Female 35-49 Whi Afr/Oth 313

EC EC Rural Female 50+ Whi Afr 338

EC EC Rural Female 50+ Whi Other 189

EC EC Rural Male 15-34 Whi Afr/Oth 849

EC EC Rural Male 35-49 Whi Afr 291

EC EC Rural Male 35-49 Whi Other 381

EC EC Rural Male 50+ Whi Afr 336

EC EC Rural Male 50+ Whi Other 369

EC EC Small Town/Vill. Female 15-24 Blk Afr/Oth 2543

EC EC Small Town/Vill. Female 25-34 Blk Afr/Oth 1711

EC EC Small Town/Vill. Female 35-49 Blk Afr/Oth 1530

EC EC Small Town/Vill. Female 50+ Blk Afr/Oth 1509

EC EC Small Town/Vill. Male 15-24 Blk Afr/Oth 1396

EC EC Small Town/Vill. Male 25-34 Blk Afr/Oth 1779

EC EC Small Town/Vill. Male 35-49 Blk Afr/Oth 1556

EC EC Small Town/Vill. Male 50+ Blk Afr/Oth 1576

EC EC Small Town/Vill. Female 15-24 C/I Afr/Oth 1171

EC EC Small Town/Vill. Female 25-34 C/I Afr/Oth 1105

EC EC Small Town/Vill. Female 35-49 C/I Afr/Oth 551

EC EC Small Town/Vill. Female 50+ C/I Afr/Oth 824

EC EC Small Town/Vill. Male 15-24 C/I Afr/Oth 801

EC EC Small Town/Vill. Male 25-34 C/I Afr/Oth 697

EC EC Small Town/Vill. Male 35-49 C/I Afr/Oth 1022

EC EC Small Town/Vill. Male 50+ C/I Afr/Oth 646

EC EC Small Town/Vill. Female 15-24 Whi Afr/Oth 518

EC EC Small Town/Vill. Female 25-34 Whi Afr/Oth 514

EC EC Small Town/Vill. Female 35-49 Whi Afr/Oth 688

EC EC Small Town/Vill. Female 50+ Whi Afr 406

EC EC Small Town/Vill. Female 50+ Whi Other 375

EC EC Small Town/Vill. Male 15-24 Whi Afr/Oth 492

EC EC Small Town/Vill. Male 25-34 Whi Afr/Oth 620

EC EC Small Town/Vill. Male 35-49 Whi Afr/Oth 506

EC EC Small Town/Vill. Male 50+ Whi Afr 392

EC EC Small Town/Vill. Male 50+ Whi Other 235

EC P.E./Uitenhage Female 15-24 Blk Afr/Oth 1085

EC P.E./Uitenhage Female 25-34 Blk Afr/Oth 788

EC P.E./Uitenhage Female 35-49 Blk Afr/Oth 783

EC P.E./Uitenhage Female 50+ Blk Afr/Oth 1072

EC P.E./Uitenhage Male 15-24 Blk Afr/Oth 983

EC P.E./Uitenhage Male 25-34 Blk Afr/Oth 970

EC P.E./Uitenhage Male 35-49 Blk Afr/Oth 1000

EC P.E./Uitenhage Male 50+ Blk Afr/Oth 835

EC P.E./Uitenhage Female 15-24 Col Afr/Oth 788

EC P.E./Uitenhage Female 25-34 Col Afr/Oth 811

EC P.E./Uitenhage Female 35-49 Col Afr/Oth 492

EC P.E./Uitenhage Female 50+ Col Afr/Oth 542

EC P.E./Uitenhage Male 15-24 Col Afr/Oth 866

EC P.E./Uitenhage Male 25-34 Col Afr/Oth 772PAGE 68

Page 26: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Province Area Sex Age Population Language Factor

EC P.E./Uitenhage Male 35-49 Col Afr/Oth 398

EC P.E./Uitenhage Male 50+ Col Afr/Oth 535

EC P.E./Uitenhage Female 15-24 Whi Afr 741

EC P.E./Uitenhage Female 15-24 Whi Other 1036

EC P.E./Uitenhage Female 25-34 Whi Afr 602

EC P.E./Uitenhage Female 25-34 Whi Other 299

EC P.E./Uitenhage Female 35-49 Whi Afr 529

EC P.E./Uitenhage Female 35-49 Whi Other 385

EC P.E./Uitenhage Female 50+ Whi Afr 379

EC P.E./Uitenhage Female 50+ Whi Other 317

EC P.E./Uitenhage Male 15-24 Whi Afr 601

EC P.E./Uitenhage Male 15-24 Whi Other 239

EC P.E./Uitenhage Male 25-34 Whi Afr 711

EC P.E./Uitenhage Male 25-34 Whi Other 491

EC P.E./Uitenhage Male 35-49 Whi Afr 540

EC P.E./Uitenhage Male 35-49 Whi Other 325

EC P.E./Uitenhage Male 50+ Whi Afr 305

EC P.E./Uitenhage Male 50+ Whi Other 263

FS Bloemfontein Female 15-24 Blk Afr/Oth 1118

FS Bloemfontein Female 25-34 Blk Afr/Oth 1067

FS Bloemfontein Female 35-49 Blk Afr/Oth 736

FS Bloemfontein Female 50+ Blk Afr/Oth 1132

FS Bloemfontein Male 15-24 Blk Afr/Oth 836

FS Bloemfontein Male 25-34 Blk Afr/Oth 1318

FS Bloemfontein Male 35-49 Blk Afr/Oth 894

FS Bloemfontein Male 50+ Blk Afr/Oth 1477

FS Bloemfontein Female 15-24 C/I Afr/Oth 858

FS Bloemfontein Female 25-34 C/I Afr/Oth 458

FS Bloemfontein Female 35-49 C/I Afr/Oth 491

FS Bloemfontein Female 50+ C/I Afr/Oth 265

FS Bloemfontein Male 15-24 C/I Afr/Oth 284

FS Bloemfontein Male 25-34 C/I Afr/Oth 667

FS Bloemfontein Male 35-49 C/I Afr/Oth 240

FS Bloemfontein Male 50+ C/I Afr/Oth 309

FS Bloemfontein Female 15-24 Whi Afr/Oth 261

FS Bloemfontein Female 25-34 Whi Afr/Oth 378

FS Bloemfontein Female 35-49 Whi Afr/Oth 223

FS Bloemfontein Female 50+ Whi Afr/Oth 180

FS Bloemfontein Male 15-24 Whi Afr/Oth 266

FS Bloemfontein Male 25-34 Whi Afr/Oth 301

FS Bloemfontein Male 35-49 Whi Afr/Oth 256

FS Bloemfontein Male 50+ Whi Afr/Oth 137

FS FS City/LT Female 15-24 Blk Afr/Oth 2434

FS FS City/LT Female 25-34 Blk Afr/Oth 1594

FS FS City/LT Female 35-49 Blk Afr/Oth 1397

FS FS City/LT Female 50+ Blk Afr/Oth 1234

FS FS City/LT Male 15-24 Blk Afr/Oth 1460

FS FS City/LT Male 25-34 Blk Afr/Oth 1246

FS FS City/LT Male 35-49 Blk Afr/Oth 1730

FS FS City/LT Male 50+ Blk Afr/Oth 1642

FS FS City/LT Female 15+ C/I Afr/Oth 894

FS FS City/LT Male 15+ C/I Afr/Oth 1259

FS FS City/LT Female 15-24 Whi Afr/Oth 738

FS FS City/LT Female 25-34 Whi Afr/Oth 434PAGE 69

Page 27: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Province Area Sex Age Population Language Factor

FS FS City/LT Female 35-49 Whi Afr/Oth 330

FS FS City/LT Female 50+ Whi Afr/Oth 205

FS FS City/LT Male 15-24 Whi Afr/Oth 465

FS FS City/LT Male 25-34 Whi Afr/Oth 498

FS FS City/LT Male 35-49 Whi Afr/Oth 435

FS FS City/LT Male 50+ Whi Afr/Oth 172

FS FS Rural Female 15-24 Blk Afr/Oth 3858

FS FS Rural Female 25-34 Blk Afr/Oth 1871

FS FS Rural Female 35-49 Blk Afr/Oth 1358

FS FS Rural Female 50+ Blk Afr/Oth 2312

FS FS Rural Male 15-24 Blk Afr/Oth 2100

FS FS Rural Male 25-34 Blk Afr/Oth 1961

FS FS Rural Male 35-49 Blk Afr/Oth 1994

FS FS Rural Male 50+ Blk Afr/Oth 3005

FS FS Rural Male/Fem 15+ C/I Afr/Oth 1469

FS FS Rural Female 15-34 Whi Afr/Oth 350

FS FS Rural Female 35-49 Whi Afr/Oth 331

FS FS Rural Female 50+ Whi Afr/Oth 263

FS FS Rural Male 15-34 Whi Afr/Oth 655

FS FS Rural Male 35-49 Whi Afr/Oth 336

FS FS Rural Male 50+ Whi Afr/Oth 282

FS FS Small Town/Vill. Female 15-34 Blk Afr/Oth 3316

FS FS Small Town/Vill. Female 35-49 Blk Afr/Oth 1447

FS FS Small Town/Vill. Female 50+ Blk Afr/Oth 1952

FS FS Small Town/Vill. Male 15-24 Blk Afr/Oth 3030

FS FS Small Town/Vill. Male 25-34 Blk Afr/Oth 1750

FS FS Small Town/Vill. Male 35-49 Blk Afr/Oth 2636

FS FS Small Town/Vill. Male 50+ Blk Afr/Oth 1782

FS FS Small Town/Vill. Female 15+ C/I Afr/Oth 1170

FS FS Small Town/Vill. Male 15+ C/I Afr/Oth 1591

FS FS Small Town/Vill. Female 15-24 Whi Afr/Oth 575

FS FS Small Town/Vill. Female 25-34 Whi Afr/Oth 366

FS FS Small Town/Vill. Female 35-49 Whi Afr/Oth 331

FS FS Small Town/Vill. Female 50+ Whi Afr/Oth 246

FS FS Small Town/Vill. Male 15-24 Whi Afr/Oth 364

FS FS Small Town/Vill. Male 25-34 Whi Afr/Oth 276

FS FS Small Town/Vill. Male 35-49 Whi Afr/Oth 371

FS FS Small Town/Vill. Male 50+ Whi Afr/Oth 184

GT Grtr Johannesburg Female 15-24 Blk Afr/Oth 1091

GT Grtr Johannesburg Female 25-34 Blk Afr/Oth 1255

GT Grtr Johannesburg Female 35-49 Blk Afr/Oth 1545

GT Grtr Johannesburg Female 50+ Blk Afr/Oth 2719

GT Grtr Johannesburg Male 15-24 Blk Afr/Oth 854

GT Grtr Johannesburg Male 25-34 Blk Afr/Oth 1443

GT Grtr Johannesburg Male 35-49 Blk Afr/Oth 1545

GT Grtr Johannesburg Male 50+ Blk Afr/Oth 2180

GT Grtr Johannesburg Female 15-24 Col Afr 1001

GT Grtr Johannesburg Female 15-24 Col Other 540

GT Grtr Johannesburg Female 25-34 Col Afr 833

GT Grtr Johannesburg Female 25-34 Col Other 1044

GT Grtr Johannesburg Female 35-49 Col Afr 622

GT Grtr Johannesburg Female 35-49 Col Other 735

GT Grtr Johannesburg Female 50+ Col Afr 748

GT Grtr Johannesburg Female 50+ Col Other 539PAGE 70

Page 28: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Province Area Sex Age Population Language Factor

GT Grtr Johannesburg Male 15-24 Col Afr 629

GT Grtr Johannesburg Male 15-24 Col Other 302

GT Grtr Johannesburg Male 25-34 Col Afr 990

GT Grtr Johannesburg Male 25-34 Col Other 449

GT Grtr Johannesburg Male 35-49 Col Afr/Oth 1255

GT Grtr Johannesburg Male 50+ Col Afr 461

GT Grtr Johannesburg Male 50+ Col Other 1305

GT Grtr Johannesburg Female 15-24 Ind Afr/Oth 1247

GT Grtr Johannesburg Female 25-34 Ind Afr/Oth 756

GT Grtr Johannesburg Female 35-49 Ind Afr/Oth 931

GT Grtr Johannesburg Female 50+ Ind Afr/Oth 611

GT Grtr Johannesburg Male 15-24 Ind Afr/Oth 452

GT Grtr Johannesburg Male 25-34 Ind Afr/Oth 1506

GT Grtr Johannesburg Male 35-49 Ind Afr/Oth 1247

GT Grtr Johannesburg Male 50+ Ind Afr/Oth 596

GT Grtr Johannesburg Female 15-24 Whi Afr 477

GT Grtr Johannesburg Female 15-24 Whi Other 496

GT Grtr Johannesburg Female 25-34 Whi Afr 641

GT Grtr Johannesburg Female 25-34 Whi Other 689

GT Grtr Johannesburg Female 35-49 Whi Afr 506

GT Grtr Johannesburg Female 35-49 Whi Other 518

GT Grtr Johannesburg Female 50+ Whi Afr 415

GT Grtr Johannesburg Female 50+ Whi Other 474

GT Grtr Johannesburg Male 15-24 Whi Afr 746

GT Grtr Johannesburg Male 15-24 Whi Other 394

GT Grtr Johannesburg Male 25-34 Whi Afr 900

GT Grtr Johannesburg Male 25-34 Whi Other 570

GT Grtr Johannesburg Male 35-49 Whi Afr 745

GT Grtr Johannesburg Male 35-49 Whi Other 761

GT Grtr Johannesburg Male 50+ Whi Afr 424

GT Grtr Johannesburg Male 50+ Whi Other 463

GT GT City/LT Female 15-24 Blk Afr/Oth 2095

GT GT City/LT Female 25-34 Blk Afr/Oth 2754

GT GT City/LT Female 35-49 Blk Afr/Oth 3371

GT GT City/LT Female 50+ Blk Afr/Oth 2297

GT GT City/LT Male 15-24 Blk Afr/Oth 1887

GT GT City/LT Male 25-34 Blk Afr/Oth 2720

GT GT City/LT Male 35-49 Blk Afr/Oth 3531

GT GT City/LT Male 50+ Blk Afr/Oth 2355

GT GT City/LT Female 15-24 Whi Afr 446

GT GT City/LT Female 15-24 Whi Other 551

GT GT City/LT Female 25-34 Whi Afr/Oth 1671

GT GT City/LT Female 35-49 Whi Afr/Oth 1219

GT GT City/LT Female 50+ Whi Afr 564

GT GT City/LT Female 50+ Whi Other 771

GT GT City/LT Male 15-24 Whi Afr/Oth 1132

GT GT City/LT Male 25-34 Whi Afr/Oth 1287

GT GT City/LT Male 35-49 Whi Afr/Oth 992

GT GT City/LT Male 50+ Whi Afr 715

GT GT City/LT Male 50+ Whi Other 1017

GT GT Rest Urban Female 15-24 Col Afr/Oth 793

GT GT Rest Urban Female 25-34 Col Afr/Oth 1256

GT GT Rest Urban Female 35-49 Col Afr/Oth 881

GT GT Rest Urban Female 50+ Col Afr/Oth 1007PAGE 71

Page 29: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Province Area Sex Age Population Language Factor

GT GT Rest Urban Male 15-24 Col Afr/Oth 627

GT GT Rest Urban Male 25-34 Col Afr/Oth 1152

GT GT Rest Urban Male 35-49 Col Afr/Oth 1076

GT GT Rest Urban Male 50+ Col Afr/Oth 962

GT GT Rest Urban Female 15-34 Ind Afr/Oth 1203

GT GT Rest Urban Female 35-49 Ind Afr/Oth 1592

GT GT Rest Urban Female 50+ Ind Afr/Oth 852

GT GT Rest Urban Male 15-24 Ind Afr/Oth 786

GT GT Rest Urban Male 25-34 Ind Afr/Oth 1106

GT GT Rest Urban Male 35-49 Ind Afr/Oth 1177

GT GT Rest Urban Male 50+ Ind Afr/Oth 776

GT GT Rural Female 15-24 Blk Afr/Oth 3720

GT GT Rural Female 25-34 Blk Afr/Oth 4947

GT GT Rural Female 35-49 Blk Afr/Oth 2743

GT GT Rural Female 50+ Blk Afr/Oth 6268

GT GT Rural Male 15-34 Blk Afr/Oth 6085

GT GT Rural Male 35-49 Blk Afr/Oth 3521

GT GT Rural Male 50+ Blk Afr/Oth 4888

GT GT Rural Female 15-34 Whi Afr/Oth 2550

GT GT Rural Female 35-49 Whi Afr/Oth 1043

GT GT Rural Female 50+ Whi Afr/Oth 2373

GT GT Rural Male 15-34 Whi Afr/Oth 1422

GT GT Rural Male 35-49 Whi Afr/Oth 1502

GT GT Rural Male 50+ Whi Afr/Oth 1491

GT GT Small Town/Vil/R Female 15+ C/I Afr/Oth 893

GT GT Small Town/Vil/R Male 15+ C/I Afr/Oth 1057

GT GT Small Town/Vill. Female 15-34 Blk Afr/Oth 880

GT GT Small Town/Vill. Female 35+ Blk Afr/Oth 961

GT GT Small Town/Vill. Male 15-34 Blk Afr/Oth 1043

GT GT Small Town/Vill. Male 35-49 Blk Afr/Oth 1453

GT GT Small Town/Vill. Male 50+ Blk Afr/Oth 1418

GT GT Small Town/Vill. Female 15-24 Whi Afr/Oth 258

GT GT Small Town/Vill. Female 25-34 Whi Afr/Oth 212

GT GT Small Town/Vill. Female 35-49 Whi Afr 383

GT GT Small Town/Vill. Female 35-49 Whi Other 223

GT GT Small Town/Vill. Female 50+ Whi Afr 157

GT GT Small Town/Vill. Female 50+ Whi Other 354

GT GT Small Town/Vill. Male 15-24 Whi Afr/Oth 194

GT GT Small Town/Vill. Male 25-34 Whi Afr/Oth 127

GT GT Small Town/Vill. Male 35-49 Whi Afr/Oth 322

GT GT Small Town/Vill. Male 50+ Whi Afr 274

GT GT Small Town/Vill. Male 50+ Whi Other 412

GT Pretoria Female 15-24 Blk Afr/Oth 1405

GT Pretoria Female 25-34 Blk Afr/Oth 2036

GT Pretoria Female 35-49 Blk Afr/Oth 2177

GT Pretoria Female 50+ Blk Afr/Oth 2058

GT Pretoria Male 15-24 Blk Afr/Oth 1315

GT Pretoria Male 25-34 Blk Afr/Oth 2570

GT Pretoria Male 35-49 Blk Afr/Oth 2098

GT Pretoria Male 50+ Blk Afr/Oth 1946

GT Pretoria Female 15-34 Col Afr/Oth 739

GT Pretoria Female 35-49 Col Afr/Oth 653

GT Pretoria Female 50+ Col Afr/Oth 343

GT Pretoria Male 15-24 Col Afr/Oth 281PAGE 72

Page 30: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Province Area Sex Age Population Language Factor

GT Pretoria Male 25-34 Col Afr/Oth 406

GT Pretoria Male 35-49 Col Afr/Oth 600

GT Pretoria Male 50+ Col Afr/Oth 479

GT Pretoria Female 15-24 Ind Afr/Oth 457

GT Pretoria Female 25-34 Ind Afr/Oth 941

GT Pretoria Female 35-49 Ind Afr/Oth 536

GT Pretoria Female 50+ Ind Afr/Oth 336

GT Pretoria Male 15-24 Ind Afr/Oth 497

GT Pretoria Male 25-34 Ind Afr/Oth 688

GT Pretoria Male 35-49 Ind Afr/Oth 495

GT Pretoria Male 50+ Ind Afr/Oth 329

GT Pretoria Female 15-24 Whi Afr/Oth 1301

GT Pretoria Female 25-34 Whi Afr/Oth 1266

GT Pretoria Female 35-49 Whi Afr 682

GT Pretoria Female 35-49 Whi Other 1826

GT Pretoria Female 50+ Whi Afr 559

GT Pretoria Female 50+ Whi Other 3280

GT Pretoria Male 15-24 Whi Afr 863

GT Pretoria Male 15-24 Whi Other 1212

GT Pretoria Male 25-34 Whi Afr 777

GT Pretoria Male 25-34 Whi Other 1815

GT Pretoria Male 35-49 Whi Afr 962

GT Pretoria Male 35-49 Whi Other 1987

GT Pretoria Male 50+ Whi Afr 555

GT Pretoria Male 50+ Whi Other 1330

GT Reef Metro Female 15-24 Blk Afr/Oth 2674

GT Reef Metro Female 25-34 Blk Afr/Oth 3340

GT Reef Metro Female 35-49 Blk Afr/Oth 3061

GT Reef Metro Female 50+ Blk Afr/Oth 3689

GT Reef Metro Male 15-24 Blk Afr/Oth 1986

GT Reef Metro Male 25-34 Blk Afr/Oth 4036

GT Reef Metro Male 35-49 Blk Afr/Oth 5119

GT Reef Metro Male 50+ Blk Afr/Oth 4066

GT Reef Metro Female 15-24 Whi Afr 1692

GT Reef Metro Female 15-24 Whi Other 1903

GT Reef Metro Female 25-34 Whi Afr 1191

GT Reef Metro Female 25-34 Whi Other 3423

GT Reef Metro Female 35-49 Whi Afr 1149

GT Reef Metro Female 35-49 Whi Other 833

GT Reef Metro Female 50+ Whi Afr 884

GT Reef Metro Female 50+ Whi Other 1030

GT Reef Metro Male 15-24 Whi Afr 1259

GT Reef Metro Male 15-24 Whi Other 1575

GT Reef Metro Male 25-34 Whi Afr 2321

GT Reef Metro Male 25-34 Whi Other 1812

GT Reef Metro Male 35-49 Whi Afr 1424

GT Reef Metro Male 35-49 Whi Other 1031

GT Reef Metro Male 50+ Whi Afr 794

GT Reef Metro Male 50+ Whi Other 715

GT Vaal Metro Female 15-24 Blk Afr/Oth 2380

GT Vaal Metro Female 25-34 Blk Afr/Oth 2685

GT Vaal Metro Female 35-49 Blk Afr/Oth 2549

GT Vaal Metro Female 50+ Blk Afr/Oth 2419

GT Vaal Metro Male 15-24 Blk Afr/Oth 1959PAGE 73

Page 31: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Province Area Sex Age Population Language Factor

GT Vaal Metro Male 25-34 Blk Afr/Oth 1886

GT Vaal Metro Male 35-49 Blk Afr/Oth 3128

GT Vaal Metro Male 50+ Blk Afr/Oth 2530

GT Vaal Metro Female 15-24 Whi Afr/Oth 554

GT Vaal Metro Female 25-34 Whi Afr/Oth 358

GT Vaal Metro Female 35-49 Whi Afr 462

GT Vaal Metro Female 35-49 Whi Other 195

GT Vaal Metro Female 50+ Whi Afr 381

GT Vaal Metro Female 50+ Whi Other 996

GT Vaal Metro Male 15-24 Whi Afr/Oth 539

GT Vaal Metro Male 25-34 Whi Afr/Oth 477

GT Vaal Metro Male 35-49 Whi Afr/Oth 309

GT Vaal Metro Male 50+ Whi Afr/Oth 537

KZ Durban Female 15-24 Blk Afr/Oth 1588

KZ Durban Female 25-34 Blk Afr/Oth 1801

KZ Durban Female 35-49 Blk Afr/Oth 1889

KZ Durban Female 50+ Blk Afr/Oth 2196

KZ Durban Male 15-24 Blk Afr/Oth 1290

KZ Durban Male 25-34 Blk Afr/Oth 2126

KZ Durban Male 35-49 Blk Afr/Oth 2283

KZ Durban Male 50+ Blk Afr/Oth 1883

KZ Durban Female 15-24 Col Afr/Oth 786

KZ Durban Female 25-34 Col Afr/Oth 756

KZ Durban Female 35-49 Col Afr/Oth 586

KZ Durban Female 50+ Col Afr/Oth 606

KZ Durban Male 15-24 Col Afr/Oth 402

KZ Durban Male 25-34 Col Afr/Oth 581

KZ Durban Male 35-49 Col Afr/Oth 594

KZ Durban Male 50+ Col Afr/Oth 480

KZ Durban Female 15-24 Ind Afr/Oth 560

KZ Durban Female 25-34 Ind Afr/Oth 479

KZ Durban Female 35-49 Ind Afr/Oth 507

KZ Durban Female 50+ Ind Afr/Oth 512

KZ Durban Male 15-24 Ind Afr/Oth 311

KZ Durban Male 25-34 Ind Afr/Oth 532

KZ Durban Male 35-49 Ind Afr/Oth 464

KZ Durban Male 50+ Ind Afr/Oth 575

KZ Durban Female 15-24 Whi Afr 611

KZ Durban Female 15-24 Whi Other 389

KZ Durban Female 25-34 Whi Afr 361

KZ Durban Female 25-34 Whi Other 318

KZ Durban Female 35-49 Whi Afr 321

KZ Durban Female 35-49 Whi Other 308

KZ Durban Female 50+ Whi Afr 254

KZ Durban Female 50+ Whi Other 292

KZ Durban Male 15-24 Whi Afr 189

KZ Durban Male 15-24 Whi Other 277

KZ Durban Male 25-34 Whi Afr 313

KZ Durban Male 25-34 Whi Other 325

KZ Durban Male 35-49 Whi Afr 496

KZ Durban Male 35-49 Whi Other 525

KZ Durban Male 50+ Whi Afr 279

KZ Durban Male 50+ Whi Other 276

KZ KZN City/LT Female 15-24 Blk Afr/Oth 1884PAGE 74

Page 32: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Province Area Sex Age Population Language Factor

KZ KZN City/LT Female 25-34 Blk Afr/Oth 1197

KZ KZN City/LT Female 35-49 Blk Afr/Oth 1358

KZ KZN City/LT Female 50+ Blk Afr/Oth 1743

KZ KZN City/LT Male 15-24 Blk Afr/Oth 1107

KZ KZN City/LT Male 25-34 Blk Afr/Oth 1613

KZ KZN City/LT Male 35-49 Blk Afr/Oth 1255

KZ KZN City/LT Male 50+ Blk Afr/Oth 1684

KZ KZN City/LT Female 15-34 Col Afr/Oth 237

KZ KZN City/LT Female 35+ Col Afr/Oth 465

KZ KZN City/LT Male 15+ Col Afr/Oth 457

KZ KZN City/LT Female 15-24 Ind Afr/Oth 1229

KZ KZN City/LT Female 25-34 Ind Afr/Oth 1069

KZ KZN City/LT Female 35-49 Ind Afr/Oth 540

KZ KZN City/LT Female 50+ Ind Afr/Oth 563

KZ KZN City/LT Male 15-24 Ind Afr/Oth 453

KZ KZN City/LT Male 25-34 Ind Afr/Oth 791

KZ KZN City/LT Male 35-49 Ind Afr/Oth 861

KZ KZN City/LT Male 50+ Ind Afr/Oth 637

KZ KZN City/LT Female 15-24 Whi Afr/Oth 341

KZ KZN City/LT Female 25-34 Whi Afr/Oth 590

KZ KZN City/LT Female 35-49 Whi Afr 546

KZ KZN City/LT Female 35-49 Whi Other 431

KZ KZN City/LT Female 50+ Whi Afr 251

KZ KZN City/LT Female 50+ Whi Other 210

KZ KZN City/LT Male 15-24 Whi Afr/Oth 530

KZ KZN City/LT Male 25-34 Whi Afr/Oth 352

KZ KZN City/LT Male 35-49 Whi Afr 806

KZ KZN City/LT Male 35-49 Whi Other 289

KZ KZN City/LT Male 50+ Whi Afr 340

KZ KZN City/LT Male 50+ Whi Other 200

KZ KZN Rural Female 15-24 Blk Afr/Oth 7508

KZ KZN Rural Female 25-34 Blk Afr/Oth 5340

KZ KZN Rural Female 35-49 Blk Afr/Oth 4788

KZ KZN Rural Female 50+ Blk Afr/Oth 6078

KZ KZN Rural Male 15-24 Blk Afr/Oth 5015

KZ KZN Rural Male 25-34 Blk Afr/Oth 4755

KZ KZN Rural Male 35-49 Blk Afr/Oth 5228

KZ KZN Rural Male 50+ Blk Afr/Oth 3918

KZ KZN Rural Female 15-34 Ind Afr/Oth 383

KZ KZN Rural Female 35-49 Ind Afr/Oth 173

KZ KZN Rural Female 50+ Ind Afr/Oth 145

KZ KZN Rural Male 15-24 Ind Afr/Oth 235

KZ KZN Rural Male 25-34 Ind Afr/Oth 429

KZ KZN Rural Male 35-49 Ind Afr/Oth 273

KZ KZN Rural Male 50+ Ind Afr/Oth 254

KZ KZN Rural Female 15-34 Whi Afr/Oth 877

KZ KZN Rural Female 35-49 Whi Afr/Oth 430

KZ KZN Rural Female 50+ Whi Afr 331

KZ KZN Rural Female 50+ Whi Other 960

KZ KZN Rural Male 15-49 Whi Afr/Oth 1157

KZ KZN Rural Male 50+ Whi Afr 328

KZ KZN Rural Male 50+ Whi Other 530

KZ KZN Small Town/Vill. Female 15-24 Blk Afr/Oth 3100

KZ KZN Small Town/Vill. Female 25-34 Blk Afr/Oth 2498PAGE 75

Page 33: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Province Area Sex Age Population Language Factor

KZ KZN Small Town/Vill. Female 35-49 Blk Afr/Oth 1839

KZ KZN Small Town/Vill. Female 50+ Blk Afr/Oth 2709

KZ KZN Small Town/Vill. Male 15-24 Blk Afr/Oth 1703

KZ KZN Small Town/Vill. Male 25-34 Blk Afr/Oth 2903

KZ KZN Small Town/Vill. Male 35-49 Blk Afr/Oth 3552

KZ KZN Small Town/Vill. Male 50+ Blk Afr/Oth 1725

KZ KZN Small Town/Vill. Female 15-24 Ind Afr/Oth 777

KZ KZN Small Town/Vill. Female 25-34 Ind Afr/Oth 490

KZ KZN Small Town/Vill. Female 35-49 Ind Afr/Oth 648

KZ KZN Small Town/Vill. Female 50+ Ind Afr/Oth 489

KZ KZN Small Town/Vill. Male 15-24 Ind Afr/Oth 343

KZ KZN Small Town/Vill. Male 25-34 Ind Afr/Oth 836

KZ KZN Small Town/Vill. Male 35-49 Ind Afr/Oth 741

KZ KZN Small Town/Vill. Male 50+ Ind Afr/Oth 530

KZ KZN Small Town/Vill. Female 15-24 Whi Afr/Oth 754

KZ KZN Small Town/Vill. Female 25-34 Whi Afr/Oth 1586

KZ KZN Small Town/Vill. Female 35-49 Whi Afr 716

KZ KZN Small Town/Vill. Female 35-49 Whi Other 646

KZ KZN Small Town/Vill. Female 50+ Whi Afr 740

KZ KZN Small Town/Vill. Female 50+ Whi Other 817

KZ KZN Small Town/Vill. Male 15-24 Whi Afr/Oth 379

KZ KZN Small Town/Vill. Male 25-34 Whi Afr/Oth 785

KZ KZN Small Town/Vill. Male 35-49 Whi Afr/Oth 609

KZ KZN Small Town/Vill. Male 50+ Whi Afr/Oth 1080

KZ KZN Small Town/Vill./R Female 15-34 Col Afr/Oth 1065

KZ KZN Small Town/Vill./R Female 35-49 Col Afr/Oth 565

KZ KZN Small Town/Vill./R Female 50+ Col Afr/Oth 688

KZ KZN Small Town/Vill./R Male 15-34 Col Afr/Oth 738

KZ KZN Small Town/Vill./R Male 35+ Col Afr/Oth 865

KZ Pietermaritzburg Female 15-24 Blk Afr/Oth 897

KZ Pietermaritzburg Female 25-34 Blk Afr/Oth 1022

KZ Pietermaritzburg Female 35-49 Blk Afr/Oth 1234

KZ Pietermaritzburg Female 50+ Blk Afr/Oth 1843

KZ Pietermaritzburg Male 15-24 Blk Afr/Oth 774

KZ Pietermaritzburg Male 25-34 Blk Afr/Oth 1416

KZ Pietermaritzburg Male 35-49 Blk Afr/Oth 1093

KZ Pietermaritzburg Male 50+ Blk Afr/Oth 1057

KZ Pietermaritzburg Female 15-24 Col Afr/Oth 231

KZ Pietermaritzburg Female 25-34 Col Afr/Oth 189

KZ Pietermaritzburg Female 35-49 Col Afr/Oth 225

KZ Pietermaritzburg Female 50+ Col Afr/Oth 333

KZ Pietermaritzburg Male 15-34 Col Afr/Oth 147

KZ Pietermaritzburg Male 35+ Col Afr/Oth 307

KZ Pietermaritzburg Female 15-24 Ind Afr/Oth 210

KZ Pietermaritzburg Female 25-34 Ind Afr/Oth 174

KZ Pietermaritzburg Female 35-49 Ind Afr/Oth 264

KZ Pietermaritzburg Female 50+ Ind Afr/Oth 400

KZ Pietermaritzburg Male 15-24 Ind Afr/Oth 126

KZ Pietermaritzburg Male 25-34 Ind Afr/Oth 264

KZ Pietermaritzburg Male 35-49 Ind Afr/Oth 271

KZ Pietermaritzburg Male 50+ Ind Afr/Oth 424

KZ Pietermaritzburg Female 15-24 Whi Afr/Oth 480

KZ Pietermaritzburg Female 25-34 Whi Afr/Oth 483

KZ Pietermaritzburg Female 35-49 Whi Afr/Oth 320PAGE 76

Page 34: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Province Area Sex Age Population Language Factor

KZ Pietermaritzburg Female 50+ Whi Afr 321

KZ Pietermaritzburg Female 50+ Whi Other 158

KZ Pietermaritzburg Male 15-24 Whi Afr/Oth 414

KZ Pietermaritzburg Male 25-34 Whi Afr/Oth 567

KZ Pietermaritzburg Male 35-49 Whi Afr/Oth 343

KZ Pietermaritzburg Male 50+ Whi Afr 143

KZ Pietermaritzburg Male 50+ Whi Other 147

LM LMP City/LT Female 15-24 Blk Afr/Oth 728

LM LMP City/LT Female 25-34 Blk Afr/Oth 663

LM LMP City/LT Female 35-49 Blk Afr/Oth 852

LM LMP City/LT Female 50+ Blk Afr/Oth 895

LM LMP City/LT Male 15-24 Blk Afr/Oth 584

LM LMP City/LT Male 25-34 Blk Afr/Oth 1019

LM LMP City/LT Male 35-49 Blk Afr/Oth 1056

LM LMP City/LT Male 50+ Blk Afr/Oth 1077

LM LMP City/LT Female 15+ C/I Afr/Oth 483

LM LMP City/LT Male 15+ C/I Afr/Oth 567

LM LMP City/LT Female 15-49 Whi Afr/Oth 439

LM LMP City/LT Female 50+ Whi Afr/Oth 291

LM LMP City/LT Male 15-24 Whi Afr/Oth 513

LM LMP City/LT Male 25-34 Whi Afr/Oth 431

LM LMP City/LT Male 35-49 Whi Afr/Oth 364

LM LMP City/LT Male 50+ Whi Afr/Oth 197

LM LMP Rural Female 15-24 Blk Afr/Oth 5308

LM LMP Rural Female 25-34 Blk Afr/Oth 3872

LM LMP Rural Female 35+ Blk Afr/Oth 6083

LM LMP Rural Male 15-24 Blk Afr/Oth 5032

LM LMP Rural Male 25-34 Blk Afr/Oth 3326

LM LMP Rural Male 35-49 Blk Afr/Oth 3653

LM LMP Rural Male 50+ Blk Afr/Oth 4937

LM LMP Rural Female 15-34 Whi Afr/Oth 791

LM LMP Rural Female 35-49 Whi Afr/Oth 804

LM LMP Rural Female 50+ Whi Afr/Oth 722

LM LMP Rural Male 15-24 Whi Afr/Oth 1071

LM LMP Rural Male 25-34 Whi Afr/Oth 1371

LM LMP Rural Male 35-49 Whi Afr/Oth 1008

LM LMP Rural Male 50+ Whi Afr/Oth 976

LM LMP Small Town/Vill. Female 15-24 Blk Afr/Oth 904

LM LMP Small Town/Vill. Female 25-34 Blk Afr/Oth 911

LM LMP Small Town/Vill. Female 35-49 Blk Afr/Oth 765

LM LMP Small Town/Vill. Female 50+ Blk Afr/Oth 1061

LM LMP Small Town/Vill. Male 15-24 Blk Afr/Oth 845

LM LMP Small Town/Vill. Male 25-34 Blk Afr/Oth 881

LM LMP Small Town/Vill. Male 35-49 Blk Afr/Oth 1099

LM LMP Small Town/Vill. Male 50+ Blk Afr/Oth 736

LM LMP Small Town/Vill. Female 15-24 Whi Afr/Oth 958

LM LMP Small Town/Vill. Female 25-34 Whi Afr/Oth 429

LM LMP Small Town/Vill. Female 35-49 Whi Afr/Oth 321

LM LMP Small Town/Vill. Female 50+ Whi Afr/Oth 288

LM LMP Small Town/Vill. Male 15-24 Whi Afr/Oth 666

LM LMP Small Town/Vill. Male 25-34 Whi Afr/Oth 478

LM LMP Small Town/Vill. Male 35-49 Whi Afr/Oth 383

LM LMP Small Town/Vill. Male 50+ Whi Afr/Oth 235

LM LMP Small Town/Vill./R Male/Fem 15+ C/I Afr/Oth 2766PAGE 77

Page 35: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Province Area Sex Age Population Language Factor

MP eMalalheni Female 15-24 Blk Afr/Oth 1077

MP eMalalheni Female 25-34 Blk Afr/Oth 870

MP eMalalheni Female 35-49 Blk Afr/Oth 918

MP eMalalheni Female 50+ Blk Afr/Oth 1652

MP eMalalheni Male 15-24 Blk Afr/Oth 871

MP eMalalheni Male 25-34 Blk Afr/Oth 1203

MP eMalalheni Male 35-49 Blk Afr/Oth 1599

MP eMalalheni Male 50+ Blk Afr/Oth 1696

MP eMalalheni Female 15-34 Whi Afr/Oth 757

MP eMalalheni Female 35-49 Whi Afr/Oth 491

MP eMalalheni Female 50+ Whi Afr/Oth 495

MP eMalalheni Male 15-24 Whi Afr/Oth 534

MP eMalalheni Male 25-34 Whi Afr/Oth 929

MP eMalalheni Male 35-49 Whi Afr/Oth 519

MP eMalalheni Male 50+ Whi Afr/Oth 567

MP MPM City/LT Female 15-24 Blk Afr/Oth 1353

MP MPM City/LT Female 25-34 Blk Afr/Oth 1595

MP MPM City/LT Female 35-49 Blk Afr/Oth 2137

MP MPM City/LT Female 50+ Blk Afr/Oth 2833

MP MPM City/LT Male 15-24 Blk Afr/Oth 1049

MP MPM City/LT Male 25-34 Blk Afr/Oth 1971

MP MPM City/LT Male 35-49 Blk Afr/Oth 2470

MP MPM City/LT Male 50+ Blk Afr/Oth 1765

MP MPM City/LT Female 15-24 Whi Afr/Oth 1958

MP MPM City/LT Female 25-34 Whi Afr/Oth 2364

MP MPM City/LT Female 35-49 Whi Afr/Oth 841

MP MPM City/LT Female 50+ Whi Afr 1091

MP MPM City/LT Female 50+ Whi Other 1693

MP MPM City/LT Male 15-24 Whi Afr/Oth 1282

MP MPM City/LT Male 25-34 Whi Afr/Oth 1896

MP MPM City/LT Male 35-49 Whi Afr/Oth 3293

MP MPM City/LT Male 50+ Whi Afr/Oth 1038

MP MPM Large Urban Female 15-34 C/I Afr/Oth 1291

MP MPM Large Urban Female 35+ C/I Afr/Oth 999

MP MPM Large Urban Male 15-34 C/I Afr/Oth 1270

MP MPM Large Urban Male 35+ C/I Afr/Oth 726

MP MPM Rural Female 15-24 Blk Afr/Oth 3818

MP MPM Rural Female 25-34 Blk Afr/Oth 2690

MP MPM Rural Female 35-49 Blk Afr/Oth 3029

MP MPM Rural Female 50+ Blk Afr/Oth 6424

MP MPM Rural Male 15-24 Blk Afr/Oth 3597

MP MPM Rural Male 25-34 Blk Afr/Oth 2957

MP MPM Rural Male 35-49 Blk Afr/Oth 2856

MP MPM Rural Male 50+ Blk Afr/Oth 3106

MP MPM Rural Female 15-34 Whi Afr/Oth 1248

MP MPM Rural Female 35+ Whi Afr/Oth 779

MP MPM Rural Male 15-34 Whi Afr/Oth 1624

MP MPM Rural Male 35+ Whi Afr/Oth 767

MP MPM Small Town/Vill. Female 15-24 Blk Afr/Oth 2216

MP MPM Small Town/Vill. Female 25-34 Blk Afr/Oth 1046

MP MPM Small Town/Vill. Female 35-49 Blk Afr/Oth 1452

MP MPM Small Town/Vill. Female 50+ Blk Afr/Oth 2410

MP MPM Small Town/Vill. Male 15-24 Blk Afr/Oth 884

MP MPM Small Town/Vill. Male 25-34 Blk Afr/Oth 1697PAGE 78

Page 36: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Province Area Sex Age Population Language Factor

MP MPM Small Town/Vill. Male 35-49 Blk Afr/Oth 2082

MP MPM Small Town/Vill. Male 50+ Blk Afr/Oth 2251

MP MPM Small Town/Vill. Female 15-34 Whi Afr/Oth 1476

MP MPM Small Town/Vill. Female 35-49 Whi Afr/Oth 834

MP MPM Small Town/Vill. Female 50+ Whi Afr/Oth 1082

MP MPM Small Town/Vill. Male 15-34 Whi Afr/Oth 1349

MP MPM Small Town/Vill. Male 35-49 Whi Afr/Oth 1103

MP MPM Small Town/Vill. Male 50+ Whi Afr/Oth 762

MP MPM Small Town/Vill./R Male/Fem 15+ C/I Afr/Oth 1823

NC Kimberley Female 15-24 Blk Afr/Oth 798

NC Kimberley Female 25-34 Blk Afr/Oth 376

NC Kimberley Female 35-49 Blk Afr/Oth 359

NC Kimberley Female 50+ Blk Afr/Oth 523

NC Kimberley Male 15-24 Blk Afr/Oth 404

NC Kimberley Male 25-34 Blk Afr/Oth 365

NC Kimberley Male 35-49 Blk Afr/Oth 326

NC Kimberley Male 50+ Blk Afr/Oth 572

NC Kimberley Female 15-24 Col Afr/Oth 232

NC Kimberley Female 25-34 Col Afr/Oth 128

NC Kimberley Female 35-49 Col Afr/Oth 121

NC Kimberley Female 50+ Col Afr/Oth 139

NC Kimberley Male 15-24 Col Afr/Oth 160

NC Kimberley Male 25-34 Col Afr/Oth 131

NC Kimberley Male 35-49 Col Afr/Oth 127

NC Kimberley Male 50+ Col Afr/Oth 104

NC Kimberley Female 15+ Ind Afr/Oth 122

NC Kimberley Male 15+ Ind Afr/Oth 140

NC Kimberley Female 15-24 Whi Afr/Oth 111

NC Kimberley Female 25-34 Whi Afr/Oth 135

NC Kimberley Female 35-49 Whi Afr/Oth 79

NC Kimberley Female 50+ Whi Afr/Oth 128

NC Kimberley Male 15-24 Whi Afr/Oth 46

NC Kimberley Male 25-34 Whi Afr/Oth 126

NC Kimberley Male 35-49 Whi Afr/Oth 166

NC Kimberley Male 50+ Whi Afr/Oth 80

NC NC Rural Female 15-24 Blk Afr/Oth 1955

NC NC Rural Female 25-34 Blk Afr/Oth 2743

NC NC Rural Female 35-49 Blk Afr/Oth 1345

NC NC Rural Female 50+ Blk Afr/Oth 3084

NC NC Rural Male 15-24 Blk Afr/Oth 2510

NC NC Rural Male 25-34 Blk Afr/Oth 1133

NC NC Rural Male 35-49 Blk Afr/Oth 1263

NC NC Rural Male 50+ Blk Afr/Oth 2441

NC NC Rural Female 15-34 C/I Afr/Oth 1081

NC NC Rural Female 35+ C/I Afr/Oth 552

NC NC Rural Male 15-34 C/I Afr/Oth 962

NC NC Rural Male 35+ C/I Afr/Oth 828

NC NC Rural Female 15-34 Whi Afr/Oth 326

NC NC Rural Female 35+ Whi Afr/Oth 379

NC NC Rural Male 15-34 Whi Afr/Oth 294

NC NC Rural Male 35+ Whi Afr/Oth 431

NC NC Small Town/Vill. Female 15-34 Blk Afr/Oth 2153

NC NC Small Town/Vill. Female 35+ Blk Afr/Oth 1362

NC NC Small Town/Vill. Male 15-24 Blk Afr/Oth 1194PAGE 79

Page 37: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Province Area Sex Age Population Language Factor

NC NC Small Town/Vill. Male 25-34 Blk Afr/Oth 1670

NC NC Small Town/Vill. Male 35+ Blk Afr/Oth 1535

NC NC Small Town/Vill. Female 15-24 C/I Afr/Oth 2140

NC NC Small Town/Vill. Female 25-34 C/I Afr/Oth 2401

NC NC Small Town/Vill. Female 35-49 C/I Afr/Oth 2676

NC NC Small Town/Vill. Female 50+ C/I Afr/Oth 2353

NC NC Small Town/Vill. Male 15-24 C/I Afr/Oth 2988

NC NC Small Town/Vill. Male 25-34 C/I Afr/Oth 1198

NC NC Small Town/Vill. Male 35-49 C/I Afr/Oth 2779

NC NC Small Town/Vill. Male 50+ C/I Afr/Oth 1529

NC NC Small Town/Vill. Female 15-24 Whi Afr/Oth 359

NC NC Small Town/Vill. Female 25-34 Whi Afr/Oth 534

NC NC Small Town/Vill. Female 35-49 Whi Afr/Oth 619

NC NC Small Town/Vill. Female 50+ Whi Afr/Oth 503

NC NC Small Town/Vill. Male 15-24 Whi Afr/Oth 378

NC NC Small Town/Vill. Male 25-34 Whi Afr/Oth 330

NC NC Small Town/Vill. Male 35-49 Whi Afr/Oth 663

NC NC Small Town/Vill. Male 50+ Whi Afr/Oth 434

NC Other City/LT Female 15-24 Blk Afr/Oth 274

NC Other City/LT Female 25-34 Blk Afr/Oth 312

NC Other City/LT Female 35-49 Blk Afr/Oth 173

NC Other City/LT Female 50+ Blk Afr/Oth 223

NC Other City/LT Male 15-24 Blk Afr/Oth 125

NC Other City/LT Male 25-34 Blk Afr/Oth 385

NC Other City/LT Male 35-49 Blk Afr/Oth 311

NC Other City/LT Male 50+ Blk Afr/Oth 185

NC Other City/LT Female 15-24 C/I Afr/Oth 922

NC Other City/LT Female 25-34 C/I Afr/Oth 355

NC Other City/LT Female 35-49 C/I Afr/Oth 311

NC Other City/LT Female 50+ C/I Afr/Oth 294

NC Other City/LT Male 15-24 C/I Afr/Oth 498

NC Other City/LT Male 25-34 C/I Afr/Oth 197

NC Other City/LT Male 35-49 C/I Afr/Oth 358

NC Other City/LT Male 50+ C/I Afr/Oth 684

NC Other City/LT Female 15-34 Whi Afr/Oth 214

NC Other City/LT Female 35-49 Whi Afr/Oth 64

NC Other City/LT Female 50+ Whi Afr/Oth 99

NC Other City/LT Male 15-24 Whi Afr/Oth 45

NC Other City/LT Male 25-34 Whi Afr/Oth 155

NC Other City/LT Male 35-49 Whi Afr/Oth 112

NC Other City/LT Male 50+ Whi Afr/Oth 69

NW NW City/LT Female 15-24 Blk Afr/Oth 1348

NW NW City/LT Female 25-34 Blk Afr/Oth 1894

NW NW City/LT Female 35-49 Blk Afr/Oth 1083

NW NW City/LT Female 50+ Blk Afr/Oth 1020

NW NW City/LT Male 15-24 Blk Afr/Oth 1322

NW NW City/LT Male 25-34 Blk Afr/Oth 2245

NW NW City/LT Male 35-49 Blk Afr/Oth 1257

NW NW City/LT Male 50+ Blk Afr/Oth 1064

NW NW City/LT Female 15-34 C/I Afr/Oth 1438

NW NW City/LT Female 35+ C/I Afr/Oth 1248

NW NW City/LT Male 15-34 C/I Afr/Oth 1573

NW NW City/LT Male 35+ C/I Afr/Oth 1086

NW NW City/LT Female 15-24 Whi Afr/Oth 709PAGE 80

Page 38: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Province Area Sex Age Population Language Factor

NW NW City/LT Female 25-34 Whi Afr/Oth 688

NW NW City/LT Female 35-49 Whi Afr/Oth 669

NW NW City/LT Female 50+ Whi Afr/Oth 513

NW NW City/LT Male 15-24 Whi Afr/Oth 708

NW NW City/LT Male 25-34 Whi Afr/Oth 862

NW NW City/LT Male 35-49 Whi Afr/Oth 552

NW NW City/LT Male 50+ Whi Afr/Oth 586

NW NW Rural Female 15-24 Blk Afr/Oth 4836

NW NW Rural Female 25-34 Blk Afr/Oth 2587

NW NW Rural Female 35-49 Blk Afr/Oth 2522

NW NW Rural Female 50+ Blk Afr/Oth 4891

NW NW Rural Male 15-24 Blk Afr/Oth 3549

NW NW Rural Male 25-34 Blk Afr/Oth 3728

NW NW Rural Male 35-49 Blk Afr/Oth 3279

NW NW Rural Male 50+ Blk Afr/Oth 3162

NW NW Rural Female 15-34 Whi Afr/Oth 882

NW NW Rural Female 35-49 Whi Afr 459

NW NW Rural Female 50+ Whi Other 669

NW NW Rural Male 15-34 Whi Afr/Oth 1561

NW NW Rural Male 35-49 Whi Afr/Oth 1028

NW NW Rural Male 50+ Whi Afr/Oth 960

NW NW Small Town/Vill. Female 15-24 Blk Afr/Oth 1963

NW NW Small Town/Vill. Female 25-34 Blk Afr/Oth 1177

NW NW Small Town/Vill. Female 35-49 Blk Afr/Oth 923

NW NW Small Town/Vill. Female 50+ Blk Afr/Oth 1608

NW NW Small Town/Vill. Male 15-24 Blk Afr/Oth 1561

NW NW Small Town/Vill. Male 25-34 Blk Afr/Oth 1622

NW NW Small Town/Vill. Male 35-49 Blk Afr/Oth 1984

NW NW Small Town/Vill. Male 50+ Blk Afr/Oth 1022

NW NW Small Town/Vill. Female 15-34 Whi Afr/Oth 939

NW NW Small Town/Vill. Female 35-49 Whi Afr/Oth 366

NW NW Small Town/Vill. Female 50+ Whi Afr/Oth 683

NW NW Small Town/Vill. Male 15-34 Whi Afr/Oth 794

NW NW Small Town/Vill. Male 35-49 Whi Afr/Oth 585

NW NW Small Town/Vill. Male 50+ Whi Afr/Oth 499

NW NW Small Town/Vill./R Female 15-34 C/I Afr/Oth 1273

NW NW Small Town/Vill./R Female 35+ C/I Afr/Oth 1101

NW NW Small Town/Vill./R Male 15-34 C/I Afr/Oth 2074

NW NW Small Town/Vill./R Male 35+ C/I Afr/Oth 1646

WC Cape Town Female 15-24 Blk Afr/Oth 1380

WC Cape Town Female 25-34 Blk Afr/Oth 2432

WC Cape Town Female 35-49 Blk Afr/Oth 3859

WC Cape Town Female 50+ Blk Afr/Oth 3242

WC Cape Town Male 15-24 Blk Afr/Oth 1060

WC Cape Town Male 25-34 Blk Afr/Oth 2635

WC Cape Town Male 35-49 Blk Afr/Oth 2774

WC Cape Town Male 50+ Blk Afr/Oth 2834

WC Cape Town Female 15-24 Col Afr/Oth 2689

WC Cape Town Female 25-34 Col Afr 2123

WC Cape Town Female 25-34 Col Other 1311

WC Cape Town Female 35-49 Col Afr 2249

WC Cape Town Female 35-49 Col Other 592

WC Cape Town Female 50+ Col Afr 1177

WC Cape Town Female 50+ Col Other 724PAGE 81

Page 39: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Province Area Sex Age Population Language Factor

WC Cape Town Male 15-24 Col Afr 2161

WC Cape Town Male 15-24 Col Other 540

WC Cape Town Male 25-34 Col Afr 2234

WC Cape Town Male 25-34 Col Other 1048

WC Cape Town Male 35-49 Col Afr 1809

WC Cape Town Male 35-49 Col Other 1530

WC Cape Town Male 50+ Col Afr 979

WC Cape Town Male 50+ Col Other 854

WC Cape Town Female 15-24 Ind Afr/Oth 973

WC Cape Town Female 25-34 Ind Afr/Oth 1051

WC Cape Town Female 35-49 Ind Afr/Oth 390

WC Cape Town Female 50+ Ind Afr/Oth 291

WC Cape Town Male 15-34 Ind Afr/Oth 852

WC Cape Town Male 35-49 Ind Afr/Oth 853

WC Cape Town Male 50+ Ind Afr/Oth 304

WC Cape Town Female 15-24 Whi Afr 1436

WC Cape Town Female 15-24 Whi Other 461

WC Cape Town Female 25-34 Whi Afr 2307

WC Cape Town Female 25-34 Whi Other 895

WC Cape Town Female 35-49 Whi Afr 1239

WC Cape Town Female 35-49 Whi Other 773

WC Cape Town Female 50+ Whi Afr 732

WC Cape Town Female 50+ Whi Other 611

WC Cape Town Male 15-24 Whi Afr 928

WC Cape Town Male 15-24 Whi Other 272

WC Cape Town Male 25-34 Whi Afr 3001

WC Cape Town Male 25-34 Whi Other 1243

WC Cape Town Male 35-49 Whi Afr 1787

WC Cape Town Male 35-49 Whi Other 1055

WC Cape Town Male 50+ Whi Afr 421

WC Cape Town Male 50+ Whi Other 552

WC City/LT Female 15-24 Blk Afr/Oth 1303

WC City/LT Female 25-34 Blk Afr/Oth 1749

WC City/LT Female 35-49 Blk Afr/Oth 2507

WC City/LT Female 50+ Blk Afr/Oth 3803

WC City/LT Male 15-34 Blk Afr/Oth 1357

WC City/LT Male 35+ Blk Afr/Oth 3790

WC City/LT Female 15-24 C/I Afr 2135

WC City/LT Female 15-24 C/I Other 190

WC City/LT Female 25-34 C/I Afr 2769

WC City/LT Female 25-34 C/I Other 350

WC City/LT Female 35-49 C/I Afr 1151

WC City/LT Female 35-49 C/I Other 272

WC City/LT Female 50+ C/I Afr 1034

WC City/LT Female 50+ C/I Other 221

WC City/LT Male 15-24 C/I Afr 1189

WC City/LT Male 15-24 C/I Other 247

WC City/LT Male 25-34 C/I Afr/Oth 1567

WC City/LT Male 35-49 C/I Afr 1472

WC City/LT Male 35-49 C/I Other 306

WC City/LT Male 50+ C/I Afr 857

WC City/LT Male 50+ C/I Other 192

WC City/LT Female 15-24 Whi Afr/Oth 1286

WC City/LT Female 25-34 Whi Afr 1354PAGE 82

Page 40: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Province Area Sex Age Population Language Factor

WC City/LT Female 25-34 Whi Other 705

WC City/LT Female 35-49 Whi Afr 679

WC City/LT Female 35-49 Whi Other 372

WC City/LT Female 50+ Whi Afr 410

WC City/LT Female 50+ Whi Other 679

WC City/LT Male 15-24 Whi Afr 730

WC City/LT Male 15-24 Whi Other 190

WC City/LT Male 25-34 Whi Afr 804

WC City/LT Male 25-34 Whi Other 316

WC City/LT Male 35-49 Whi Afr 914

WC City/LT Male 35-49 Whi Other 484

WC City/LT Male 50+ Whi Afr 461

WC City/LT Male 50+ Whi Other 461

WC Rural Female 15-34 Blk Afr/Oth 1661

WC Rural Female 35+ Blk Afr/Oth 2213

WC Rural Male 15-24 Blk Afr/Oth 1094

WC Rural Male 25-34 Blk Afr/Oth 2446

WC Rural Male 35+ Blk Afr/Oth 3467

WC Rural Female 15-24 C/I Afr/Oth 2015

WC Rural Female 25-34 C/I Afr/Oth 1333

WC Rural Female 35-49 C/I Afr/Oth 869

WC Rural Female 50+ C/I Afr/Oth 1498

WC Rural Male 15-24 C/I Afr/Oth 1818

WC Rural Male 25-34 C/I Afr/Oth 1353

WC Rural Male 35-49 C/I Afr/Oth 1589

WC Rural Male 50+ C/I Afr/Oth 1344

WC Rural Female 15-24 Whi Afr/Oth 621

WC Rural Female 25-34 Whi Afr 445

WC Rural Female 25-34 Whi Other 203

WC Rural Female 35-49 Whi Afr 931

WC Rural Female 35-49 Whi Other 150

WC Rural Female 50+ Whi Afr 1186

WC Rural Female 50+ Whi Other 127

WC Rural Male 15-24 Whi Afr/Oth 324

WC Rural Male 25-34 Whi Afr 727

WC Rural Male 25-34 Whi Other 142

WC Rural Male 35-49 Whi Afr 558

WC Rural Male 35-49 Whi Other 168

WC Rural Male 50+ Whi Afr 531

WC Rural Male 50+ Whi Other 358

WC Small Town/Vill. Female 15-24 Blk Afr/Oth 1473

WC Small Town/Vill. Female 25-34 Blk Afr/Oth 2772

WC Small Town/Vill. Female 35+ Blk Afr/Oth 2577

WC Small Town/Vill. Male 15-24 Blk Afr/Oth 2315

WC Small Town/Vill. Male 25-34 Blk Afr/Oth 1987

WC Small Town/Vill. Male 35+ Blk Afr/Oth 3345

WC Small Town/Vill. Female 15-24 C/I Afr/Oth 2374

WC Small Town/Vill. Female 25-34 C/I Afr 2768

WC Small Town/Vill. Female 25-34 C/I Other 151

WC Small Town/Vill. Female 35-49 C/I Afr 2415

WC Small Town/Vill. Female 35-49 C/I Other 142

WC Small Town/Vill. Female 50+ C/I Afr/Oth 1179

WC Small Town/Vill. Male 15-24 C/I Afr/Oth 2024

WC Small Town/Vill. Male 25-34 C/I Afr/Oth 1648PAGE 83

Page 41: RAMS - South African Audience Research Foundation · The RAMS sample is an area-stratified probability sample, built up by clusters of 2 addresses. The sample of addresses is selected

Province Area Sex Age Population Language Factor

WC Small Town/Vill. Male 35-49 C/I Afr 1480

WC Small Town/Vill. Male 35-49 C/I Other 101

WC Small Town/Vill. Male 50+ C/I Afr/Oth 1434

WC Small Town/Vill. Female 15-24 Whi Afr/Oth 1004

WC Small Town/Vill. Female 25-34 Whi Afr/Oth 804

WC Small Town/Vill. Female 35-49 Whi Afr 1537

WC Small Town/Vill. Female 35-49 Whi Other 143

WC Small Town/Vill. Female 50+ Whi Afr 893

WC Small Town/Vill. Female 50+ Whi Other 356

WC Small Town/Vill. Male 15-24 Whi Afr/Oth 1007

WC Small Town/Vill. Male 25-34 Whi Afr 1553

WC Small Town/Vill. Male 25-34 Whi Other 177

WC Small Town/Vill. Male 35-49 Whi Afr 1569

WC Small Town/Vill. Male 35-49 Whi Other 324

WC Small Town/Vill. Male 50+ Whi Afr 603

WC Small Town/Vill. Male 50+ Whi Other 339

PAGE 84