Nielsen s Response to BRC Queries on Nov 15 RAMS

Nielsen s Response to BRC Queries on Nov 15 RAMS Date: 22 January 2016

IELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE TABLE OF CONTENTS Pg No 1. 1.1 1.2 1.3 1.4 1.5 1.6 2. 2.1 2.2 2.3 2.4 2.5 UNIVERSE AND SAMPLE CHANGES We need to look how the change in universes by demos within province is influencing listening. From a quick analysis what we can see is that in the WC LSM 9 and 10 sample dropped by 21%, and the universe by 10% Are the changes in IHS pops that we saw in the TAMS universe update coming through at a national level in terms of the increase in 65+ age group and LSM 1-4? Key to this is to see how the economic downturn is impacting key demos, which will then impact listening Suggest that a rural/urban, Gender, LSM, working FT/PT, household size, age profiles by province across the Sep and Nov waves be run Have the LSM variable changes been implemented in the Nov wave? this could account for differences in LSMs between Sep and Nov? Summary of Nielsen s response to Point 1 Universe and Sample changes LISTENING DIFFERENCES Wave on wave across theses demos look at the key metrics (p7d, M-F, Sat, Sun) Suggest running exclusive listeners for RSG, CapeTalk and KFM in WC to gauge how much of a contribution these channels are making to the decline in overall radio. Something seems amiss with Saturday listening across WC, EC & LP (there could be pattern here) Look to do a non-listener analysis by province comparing the 2 waves which demos have not listened to any radio. From what we ve seen there has been an increase of 9% of the sample who haven t listened, weighted to 19% of the population. Limpopo has had a 63% increase in the nonlistener sample, and a 84% increase in audiences in 000 s. Limpopo demos reflect more LSM 4 5 in the Nov wave with fewer LSM 6, - this is consistent with the economic downturn. This is further validated by the decrease in working FT/PT population by 11%. This would suggest there would be a greater daytime audience available, but the results show a strong decrease in daytime listening. Summary of Nielsen s response to Point 2 Listening differences 1 4 2 3 1 4 6 7 16 17 23-25 25 28

IELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE TABLE OF CONTENTS Pg No 3. 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 3.9 3.10 4. 4.1 4.2 4.3 SAMPLING METHODOLOGY / FIELD FORCE CHANGES Can they blow up the sample point map for the WC and Limpopo, so that we can more clearly see wave on wave differences? Has there been any change in the sampling starting points? Have they used different field force (Is this Quest still?) Briefing procedure changes. Field manager changes. Substitution levels wave on wave. Back checks by province wave on wave. Is there a possibility that more non-working main respondents were interviewed as they were more available. Has there been a change in the time of day of interviews ie more in daytime/easy to contact households? Can we look at placement/collection days across days of the week across the interview period this might account for the drop on the Saturday? Summary of Nielsen s response to Point 3 Sampling Methodology/Field Force changes WEIGHTING Have the weights been applied correctly? Have all weighting cells been accounted for? So I think they need to look at the 2 surveys (urban/rural) before they combine them ie the latest urban diaries on their own, the rural component from the earlier wave on its own and then the combined together. I know weighting is probably done once at the end but even in a manual way there has to be a way to separate out the results? Is there a change in the IHS area classifications that may been impacting in the WC in particular? Eg a rural area in the September Wave is reclassified as urban in November. Summary of Nielsen s response to Point 4 Weighting 29 33 36 37 38 39 40 41 42 43 44 45 45 46 46 APPENDIX 1 - Analyses to assess impact of population changes Detailed demographics by province APPENDIX 2 - Listener Comparisons (National, N Cape, Free State, KZN, Mpumalanga, Gauteng, North-West) APPENDIX 3 - Nielsen s Detailed Investigations (W Cape, E Cape, Limpopo) APPENDIX 4 - Non-Listener Analyses by demographics (National, N Cape, Free State, KZN, Mpumalanga, Gauteng, North-West) APPENDIX 5 - Global Report REPORT COLOUR KEY Grey = BRC Questions Blue = Nielsen s Response Green = Summary of Response

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 1. UNIVERSE AND SAMPLE CHANGES: We would like to address the following questions at this point: 1.1. We need to look how the change in universes by demos within province is influencing listening. 1.5. Suggest that a rural/urban, Gender, LSM, working FT/PT, household size, age profiles by province across the Sep and Nov waves be run. Response: Impact of Universe Update: An annual population update of 1.6% was applied to the November 2015 RAMS release: From 37 665 000 to 38 259 000 (+ 594 000 adults). Results are comparable to previous RAMS releases, across the year. Impact of Update: Metro areas more than Rural More than half to Gauteng mainly Jhb, Reef, Pta Slightly more to Males Largely 35+ Predominantly Blacks White proportion now smaller Impact by Province: Within province, the impact is so small, that it cannot have a material effect on the Radio data. Even where there were population shifts, these did not always follow the same pattern as the 7-Day movements. Province Previous ulation Current ulation ulation Difference Change 000s 000s 000s % 7-Day Listening Western Cape 4 427 4 508 + 81 + 1.8 Down Northern Cape 775 787 + 12 + 1.5 Stable Free State 1 966 1 972 + 6 + 0.3 Stable Eastern Cape 4 593 4 621 + 28 + 0.6 Down KwaZulu-Natal 7 128 7 178 + 50 + 0.7 Up Mpumalanga 2 870 2 923 + 53 + 1.8 Stable Limpopo 3 659 3 656-3 - 0.0 Down Gauteng 9 724 10 060 + 336 + 3.5 Up North-West 2 524 2 554 + 30 + 1.2 Stable Demographic Analyses Requested The demographic analyses comparing Sep to Nov for detailed demographics, within province, have been run and are included as Appendix 1 in this report. Where population movements within province are against the national trend, these have been flagged. P a g e 1

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 1.3. Are the changes in IHS pops that we saw in the TAMS universe update coming through at a national level in terms of the increase in 65+ age group and LSM 1-4? Response: The weighting is applied to the total national sample and the impact of these updates has been described under 1.1. The TAMS Universe is a sub-section of the total sample that has access to mains electricity, a working TV set and lives in private households. TAMS Universe updates reflect the population shifts of private households that have access to at least one working TV set. ulations in the TV Universe tend to be more changeable than those seen in the general South African population, since this Universe is impacted by unique factors such as electrification, disposable income and the purchase of durables. With regard to the 65+ age group, the growth in population at the national level has certainly been in the older age group. The 65+ age group has increased in RAMS (8.3% to 8.7%), in line with the IHS population. The TAMS Universe update also shows the same trend with the 65+s increasing from 7.9% to 9.1%. For LSM 1-4, there is marginal growth (not significant), at the national level: 21.4% to 22.7%. This is mirrored in the TAMS Universe update: 16.7% to 17.3% of households. P a g e 2

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 1.4. Key to this is to see how the economic downturn is impacting key demos, which will then impact listening. Response: It is Nielsen s understanding that IHS takes economic factors into account in calculating their estimates of the population update, at provincial level. In the IHS write-up in the AMPS 2015 July 2014-June 2015 Technical Report, it is stated that: All of the demographic model outputs form part of a larger cross-regional model that aims to be entirely internally consistent with the economic, labour, income and development factors of every region in South Africa. Thus, as new data becomes available on any regional or national indicators, the Cohort Component Demographic model is updated and checked for internal consistency. P a g e 3

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE LSM changes: Here we will be addressing the following questions: 1.2. From a quick analysis what we can see is that in the WC LSM 9 and 10 sample dropped by 21%, and the universe by 10%. 1.6. Have the LSM variable changes been implemented in the Nov wave? this could account for differences in LSMs between Sep and Nov? Response: The LSM variables were not changed for the November 15 release. There are no significant differences group by group, across the year. (Year Previous) (Current Survey) Looking at the Western Cape specific trends across the year for the grouped LSMs, a stable picture emerges for LSM 1-4, LSM 5-7 and LSM 8-10. P a g e 4

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE In all three cases, the current Nov 15 incidence is identical to Oct 14 (year previous). There is a small decrease for LSM 8-10 from Sept 15 to Nov 15, with a corresponding small increase in LSM 5-7. We saw the same picture from Aug 14 to Oct 14. P a g e 5

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE Summary of Nielsen s response to Point 1 Universe and Sample changes A minor population update of 1.6% was applied to the Nov 15 release. Within province, the change was too small to have a material impact on listening. Economic factors would have been taken into account by IHS in calculating these estimates. In general, the same trends are reflected in the TAMS Universe Updates. LSM variables have not been changed for the Nov 15 RAMS release. The RAMS LSM trends are very similar to those seen in AMPS. In the Western Cape, a stable picture emerges across the year, for grouped LSMs, with the small changes seen in the middle and higher groups from Sep 15 to Nov 15 resembling those seen from Aug 14 to Oct 14. P a g e 6

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 2. LISTENING DIFFERENCES: 2.1. Wave on wave across theses demos look at the key metrics (p7d, M-F, Sat, Sun) Response: Detailed Listener analyses within province, by demographic, have been run for 7-days, Monday-Friday, Saturday and Sunday. In this section, we will discuss the three provinces that declined significantly (Western Cape, Eastern Cape, Limpopo). Statistically significant differences between the Sep 15 and Nov 15 releases have been flagged in yellow. The National comparison, as well as those for the remaining 6 provinces, are provided in Appendix 2. Please page over for the Western Cape listener comparison. P a g e 7

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE Western Cape Listener Comparison: Western Cape 7-day listening has declined significantly from 71.0% in Sep 15 to 66.1% in Nov 15. Interestingly, this decrease is completely proportionate across demographics, resulting in a November listener pool that has the identical demographic profile to that in September. Only Saturday audiences had a significant community change, with a bigger decline coming from the Small Urban/Rural sector. This demographic consistency validates the sampling, fieldwork and processing procedures in these two releases. P a g e 8

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE NIELSEN S DETAILED INVESTIGATION INTO THE WESTERN CAPE LISTENING DECLINE The first analysis of the data revealed the Western Cape Listening decline from Sep 15 to Nov 15 release. Nielsen immediately initiated an investigation and presented the findings at the RAMS Scrutiny meeting in November 2015. This full presentation is included as Appendix 3 in this report. Here is a summary of the findings: Listening is significantly down for 7 Days, Mon-Fri and Saturday Impact areas are Cape Town and Rural Commercial listening has declined significantly Demographic profiles of listeners are comparable samples are representative Flooded ratio is comparable : 2.76 Repertoires are stable : 1.8 stations Listening days remain at 4.9 Time Spent Listening has grown by 6 minutes ¼ Hour listening curve follows the national pattern, with slightly lower early morning and early afternoon levels, with same day shape Eventful fieldwork period fires, floods, bad weather, student protests, new DA leader Possible seasonal impact of Jan-Jun Rural sample Wave 2 was a low period for Cape Town it is again part of this release Separate Phone-Back Survey Nielsen phoned back a random sample of a 107 Cape Town Diarykeepers in mid-november to verify that: - they had been visited by the interviewer - they had indeed not listened to the Radio in their Diary interview period. The full report is included on page 26. P a g e 9

WESTERN CAPE 7-DAY TREND WITH EVENTS 2015 had a much higher incidence of fire/flood type events that could have impacted on listeners lifestyles. Reported damage was extensive. - Postponed fieldwork in affected suburbs (Scarborough, Hout Bay, Fish Hoek, Consantia, Tokai) to ensure no impact on Diary quality. Flood Fire NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE P a g e 10

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE Eastern Cape Listener Comparison: Eastern Cape 7-day listening has declined significantly from 80.3% in Sep 15 to 77.1% in Nov 15. There were no significant demographic movements from Sep 15 to Nov 15 in the Eastern Cape. Again the smaller November listening pool has an identical demographic profile to that in September, reinforcing the reliability of the survey procedures. P a g e 11

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE NIELSEN S DETAILED INVESTIGATION INTO THE EASTERN CAPE LISTENING DECLINE At the same time as the Western Cape investigation, Nielsen also undertook an investigation into Eastern Cape listening, also presented at the RAMS Scrutiny meeting in November 2015. This full presentation is included as Appendix 3 in this report. Here is a summary of the findings: Listening is significantly down for 7 Days and Saturday Mon-Fri is also down, Sunday listening is stable Both Commercial and Community listening is down significantly Demographic profiles of listeners are comparable even with new Rural sample Flooded ratio is identical : 2.44 Repertoires are identical : 1.7 stations Listening days are unchanged at 5.1 Time Spent Listening is up by 4 minutes ¼ Hour listening curve is almost identical to the previous Rural curve, with Sunday having higher late morning levels Possible seasonal impact of Jan-Jun Rural sample Eastern Cape Commercial Radio has high loyalty and exclusivity loss in a dominant station would result in a smaller pool of listeners Feud over Mandela s Qunu Estate, New King of the Xhosa nation sworn in at Nqadu Great Place P a g e 12

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE Limpopo Listener Comparison: Limpopo 7-day listening has declined significantly from 89.7% in Sep 15 to 81.0% in Nov 15. Again the smaller November listener pool has a very similar demographic profile to that in September, reinforcing the reliability of the survey procedures. The only difference is in the LSM 8-10 group, which has decreased in line with the total population profile of the province, with the population update. This is a small portion of the total Limpopo audience (4%) and could be economically related to all the strike activity in the province. P a g e 13

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE NIELSEN S DETAILED INVESTIGATION INTO THE LIMPOPO LISTENING DECLINE Nielsen also undertook an investigation into Limpopo listening trends and presented findings at the RAMS Scrutiny meeting in November 2015. This full presentation is included as Appendix 3 in this report. Here is a summary of the findings: Listening is significantly down across the week Both Commercial and Community listening is down significantly across a number of stations Demographic profiles of listeners are almost identical with new Rural sample Flooded ratio is almost identical : 2.57 Repertoires are down : 1.7 stations Listening days are unchanged at 5.2 Time Spent Listening is substantially down by 43 minutes ¼ Hour listening curve is at a lower level across the day but keeps the same day shape Possible impact of very eventful fieldwork period: Strike action at various Platinum mines; Municipal action; Malamulele municipal unrest/closure of trading operations; Lead up to Julius Malema court case; ANC by-elections; Ongoing worker problems at Medupi Power Station; ANC recalls two mayors from Mogalakweni and Blouberg A number of high loyalty stations have declined loss in a dominant station would result in a smaller pool of listeners P a g e 14

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE COMPARISON OF LISTENING AMPS VERSUS RAMS Although comparing different data sources is a good way of validating data, we do not recommend that AMPS radio is compared with RAMS for these two reasons: The Methodology differs between AMPS and RAMS Three general questions on radio listening are included in the AMPS survey to provide data for inter-media comparisons. The methodology is Recall across a 4-week, 7-day and Yesterday period. RAMS uses a 7-day Diary method for its currency. Listening is filled in as and when it occurs. A recall methodology tends to inflate larger/well-known station brands and usual stations listened to, and underestimate smaller stations and those listened to more infrequently. The extent of these differences varies by demographic, culture and lifestyle. From a research perspective, one cannot therefore compare these two different measures each has its own place. Release Periods for AMPS and RAMS differ The AMPS release reflects a 12-month Rolling national sample, with an identical fieldwork period span for both Urban and Rural. The RAMS release reflects a 6-month period but this differs between Urban and Rural. Urban data is rolled, like AMPS, across a 6-month period and includes the latest 3-month fieldwork period. Rural data is not rolled and is pulled in, in totality, when the 6-month fieldwork matures. The AMPS and RAMS releases therefore reflect different fieldwork periods and cover different time frames. P a g e 15

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 2.2. Suggest running exclusive listeners for RSG, CapeTalk and KFM in WC to gauge how much of a contribution these channels are making to the decline in overall radio. Response: Here are the stations in the Western Cape with the highest exclusive listenership. Depicted on the chart are the current (Nov 15) exclusive percentage, the previous (Sep 15) exclusive percentage and the difference in thousands across these releases. Western Cape Total Commercial 7-Day listening declined by 189 000 from Sep to Nov 2015. Even though the RAMS survey is not a panel whereby station gains and losses can be properly quantified, the survey gives us an estimate of the potential maximum impact that the bigger exclusive stations could have on the total commercial listening decline. One often finds that when a High Exclusive station declines, lost listeners switch off completely and become Non-Radio listeners. The Western Cape top 8 exclusive stations could have contributed a potential maximum of 85 000 of the 189 000 commercial loss (45%). The bulk of this decrease comes from RSG (-61 000). Interestingly, we are also seeing increases in exclusivity for some of these more exclusive stations in this release: Umhlobo Wenene FM (+6%) and Heart 104.9FM (+19%). The fact that some stations increase while others decrease, provides comfort that there is no systematic bias in the data. P a g e 16

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 2.3. Something seems amiss with Saturday listening across WC, EC & LP (there could be pattern here) Response: In our investigation below, we have not found anything methodologically amiss with Saturday listening. Saturday is handled in the same way as any other day, so it would not have a different methodological impact. Saturday listening for the country as a whole, has been trending downwards across the year with the different releases. In the Nov 15 RAMS release, Saturday audiences declined in Western Cape, Eastern Cape and Limpopo and grew in Gauteng and KwaZulu-Natal. Saturday audiences also declined significantly in Oct 14 (year previous) and Sep 15. Saturday Listening movements are two-directional in terms of demographics impacted, even across province and community size from a research perspective, this is reassuring as it confirms no systematic bias in the data. In the Western Cape, Saturday audiences have been steadily declining from the Jun 15 release. Here is a summary of the Western Cape Saturday and Sunday audience movements from Sep 15 to Nov 15: P a g e 17

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE Looking at Saturday, a number of stations are down, some are stable and one is in fact up, release on release. Only 3 stations that declined on a Saturday, have also declined on a Sunday. A number are stable on a Sunday and Heart and Kfm have in fact grown their audiences. What is interesting about the different Saturday/Sunday audience movements, is that the identical methodological issues would impact on both equally. The RAMS Diary is placed on the day of the AMPS CAPI interview. The Diarykeeper is instructed to start filling in their Diary the next day, so that it measures a full day. The Diary is specifically collated by the interviewer, on placement, to start with the correct day. The CAPI placement days are closely monitored week-by-week, with targets per week, by province. These weekly reports are sent to Client. Here are the three completed placement fieldwork reports for the first 3 waves of 2015. These were all completed on time, according to schedule. P a g e 18

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NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE Interviewers are instructed to spread their interviews evenly across the week. This is closely monitored, wave by wave. Traditionally, Sunday placements can be lower, due to religious and cultural reasons. This table shows the day spread for the Western Cape placements in the Nov 15 release: RAMS NOVEMBER 2015 DAY OF INTERVIEW W Cape infs 1763 Monday 268 15.2 Tuesday 227 12.9 Wednesday 277 15.7 Thursday 238 13.5 Friday 262 14.9 Saturday 328 18.6 Sunday 163 9.2 Methodologically, Saturday is not handled differently to any other day. Therefore, different Saturday station trends would reflect reality. P a g e 20

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE In Limpopo, both the Jun 15 and Nov 15 surveys saw a decline, coming from the new Rural Samples. Here is a summary of the Limpopo Saturday and Sunday audience movements from Sep 15 to Nov 15: Both Saturday and Sunday movements are very similar, station by station. Again, we see a mixed bag of movements with Capricorn positively against the trend. Here is the Day Spread for Limpopo placements in the Nov 15 release: RAMS NOVEMBER 2015 DAY OF INTERVIEW Limpopo infs 719 Monday 100 13.9 Tuesday 89 12.4 Wednesday 77 10.7 Thursday 113 15.7 Friday 94 13.1 Saturday 129 17.9 Sunday 117 16.3 P a g e 21

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE Eastern Cape Rural Saturday listening declined in the Nov 15 survey. It grew significantly in the Jun 15 release. On a Saturday, the Eastern Cape decline is due to Umhlobo Wenene and trufm. The majority of stations are stable, with an increase for Ukhozi FM. Umhlobo Wenene comprises over one-third of total Eastern Cape Saturday listening and traditionally is a high exclusive station. Sunday listening in the Eastern Cape is slightly up, with the majority of stations stable, release on release. With the same methodology, the Saturday and Sunday movements are quite different. Below is the Day spread for Eastern Cape placements in the Nov 15 release: RAMS NOVEMBER 2015 DAY OF INTERVIEW E Cape infs 1750 Monday 221 12.6 Tuesday 231 13.2 Wednesday 281 16.1 Thursday 243 13.9 Friday 292 16.7 Saturday 274 15.7 Sunday 208 11.9 P a g e 22

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 2.4. Look to do a non-listener analysis by province comparing the 2 waves which demos have not listened to any radio. From what we ve seen there has been an increase of 9% of the sample who haven t listened, weighted to 19% of the population. Limpopo has had a 63% increase in the non-listener sample, and a 84% increase in audiences in 000 s. Response: Detailed Non-Listener analyses within province, by demographic, have been run, comparing Sep 15 to Nov 15. In this section we will discuss the three provinces that declined significantly (Western Cape, Eastern Cape, Limpopo). Statistically significant differences between the two releases have been flagged. The National comparison as well as those for the remaining 6 provinces are provided in Appendix 4. Western Cape Non-Listener Comparison: The proportion of non-listeners in the Western Cape has grown significantly from 29.0% to 33.9% from the Sep 15 to the Nov 15 release. Looking at the detailed demographic composition of non-listeners, it would appear that the increase follows the same proportions as September. The only significant change is in community size where Large Urban Non-Listeners have significantly decreased and Small Urban/Rural Non-Listeners have increased. The drop in listening in the Nov 15 release is in the Rural area. The fact that the other demographics for non-listeners have maintained the same proportions, validates the sampling, fieldwork and processing procedures used in this release. P a g e 23

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE Eastern Cape Non-Listener Comparison: In the Eastern Cape, the proportion of non-listeners has increased from 19.7% in Sep 15 to 22.9% in Nov 15. This increase is spread in September proportions for Gender and Age, but is concentrated in the Black population group, in Small Urban/Rural areas and LSMs 1-4. Umhlobo Wenene FM is the main contributor it is a high exclusive station with a very strong loyalty factor. A drop for Umhlobo could result in a complete radio switch-off. P a g e 24

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE Limpopo Non-Listener Comparison: Here we will be addressing both questions 2.4 and 2.5. 2.4. Look to do a non-listener analysis by province comparing the 2 waves which demos have not listened to any radio. From what we ve seen there has been an increase of 9% of the sample who haven t listened, weighted to 19% of the population. Limpopo has had a 63% increase in the non-listener sample, and a 84% increase in audiences in 000 s. 2.5. Limpopo demos reflect more LSM 4 5 in the Nov wave with fewer LSM 6, - this is consistent with the economic downturn. This is further validated by the decrease in working FT/PT population by 11%. This would suggest there would be a greater daytime audience available, but the results show a strong decrease in daytime listening. Response: The proportion of non-listeners in Limpopo has increased significantly from 10.3% in Sep 15 to 19.0% in Nov 15. Due to the large rural component of this province (95%), LSM 1-4 has the biggest change, followed by LSM 5-7. This large rural component has also resulted in the unemployed sector showing the greater impact. As seen in the Western Cape results, Limpopo s non-listeners have grown in the same demographic proportion as the Sep 15 RAMS non-listeners in the province. This also confirms no systematic bias in the data and indicates a real change in listening, possibly as a result of events during the fieldwork period (strike action at various Platinum mines, municipal action, strikes at Medupi Power Station). P a g e 25

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE NON-LISTENERSHIP INVESTIGATION Introduction: Due to concerns regarding the drop in radio listening levels evidenced in the November 2015 data, Nielsen has conducted qualitative investigation into the reasons for not listening to radio in the Western Cape. In addition, Nielsen investigated lower listening levels in the rural areas of the Eastern Cape and Limpopo, the two other regions of concern. Methodology: Respondents who claimed not to have listened to the radio during the week of Diary placement were re-contacted telephonically to ascertain the reasons for this. A short backcheck questionnaire was designed which covered: Whether or not respondents have a radio at home or in the car Whether they ever listen to the radio at home or elsewhere Their reasons for not listening to the radio during the dates of Diary placement Whether or not they listened to the radio the week prior to the checkback and, if so, to which stations. Non-listeners in Cape Town from RAMS Waves 2 and 3 were re-contacted from 25 November 8 December 2015. For the rural areas of the Eastern Cape and Limpopo, non-listeners from RAMS Waves 1 and 2 were re-contacted from 25 November to 4 December 2015. Results: Cape Town: 107 successful backcheck calls were made. 106 respondents verified that they had filled in the Diary (1 could not remember), and that they had indeed not listened to the Radio during their Diary interview period. The major reasons given for not listening during the fieldwork period were: Didn t have time/too busy with work/studies/church/other things (37%) Don t listen to the radio prefer reading/ watching TV/ movies/playing music (17%) Don t have a radio (15%) 81% of these non-listeners claimed to have a radio in the home and or in the car. 81% of non-listeners have ever listened to the radio. At the time of backchecks, 36% of those contacted did not listen to the radio during the re-contact week. Eastern Cape Rural: 74 successful backcheck calls were made. All these respondents verified that they had filled in the Diary, and that they had indeed not listened to the Radio during their Diary interview period. The major reasons given for not listening during the fieldwork period were: No time/ was busy/ busy at school/ studying (32%) Don t have a radio/ no radio in the house (14%) No reason/no specific reason (12%) Don t like listening to the radio (7%) 78% of these non-listeners claimed to have a radio in the home and or in the car. 80% of non-listeners have ever listened to the radio. At the time of backchecks, 43% of those contacted did not listen to the radio during the re-contact week. P a g e 26

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE Limpopo Rural: 47 successful backcheck calls were made. All these respondents verified that they had filled in the Diary, and that they had indeed not listened to the Radio during their Diary interview period. The major reasons given for not listening during the fieldwork period were: Busy with exams/ schoolwork/ studying (18%) No radio at home/ don t have a radio (11%) Busy with work/ working nightshift (9%) Very busy/no specific reason (9%) 87% of these non-listeners claimed to have a radio in the home and or in the car. 96% of non-listeners have ever listened to the radio. At the time of backchecks, 32% of those contacted did not listen to the radio during the re-contact week. Summary A total of 228 successful backcheck calls were made. 227 of these confirmed that they had filled in the Diary (only 1 could not remember). All 227 confirmed that they had indeed not listened to the Radio during the fieldwork period. P a g e 27

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE Summary of Nielsen s response to Point 2 Listening differences Extensive demographic analyses, within province, for Listeners and Non-Listeners have been examined. For the three provinces with significant declines in listenership Western Cape, Eastern Cape and Limpopo the demographic profiles of both Listeners and Non-Listeners are in almost identical proportions Sep 15 to Nov 15. This confirms the reliability of all the survey processes from sampling, to fieldwork, to processing. The phone-backs to non-listeners in the 3 affected provinces 99% of these respondents confirmed that they had filled in their Diary and not listened during their Diary fieldwork week. Analysis of High-Exclusive Western Cape stations revealed that these could have contributed some 45% to the overall decline in Commercial listening, with the bulk of this coming from RSG. With regard to Saturday listening, the same survey methodology is applied across the week. While there have been total Saturday declines in some provinces, Sunday listening has in fact increased. P a g e 28

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 3. SAMPLING METHODOLOGY / FIELD FORCE CHANGES: 3.1. Can they blow up the sample point map for the WC and Limpopo, so that we can more clearly see wave on wave differences? Response: The sample point maps for Cape Town, Limpopo and Eastern Cape, blown up to size, follow this page. Two surveys are plotted for each area. For Cape Town, we have used two discreet Urban samples, Jun 15 and Nov 15. For Eastern Cape and Limpopo, the Sep 15 and Nov 15 samples are compared. These surveys had different Rural samples. The sample spread follows the population density in each case. Both plotted samples compare well and show comprehensive coverage of the region. P a g e 29

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NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 3.2. Has there been any change in the sampling starting points? Response: For both Urban and Rural samples, a Random Start Fixed Interval Technique is used to draw the actual sampling points. In the case of the Urban sample, place names together with number of sampling points required, are fed into the Nielsen GeoFrame Address Register. The computer then calculates the sampling interval and generates a random start, consistent with this interval. To illustrate that different random starts are drawn, we pulled 5 samples in Kempton Park, all with the same sample size. The plotted map follows. The fact that the sampling points are differently spread for each of these 5 samples, verifies that different starting points are being chosen. P a g e 33

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NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE For the Rural Sample, a two-stage process is followed: Stage 1 is the selection of places to be sampled within the province and this is done using a Random Start Fixed Interval Technique. We have looked at the starting points for Limpopo Rural across the last 4 discreet Rural samples. The following random starting points were generated: Survey Random Start First Sampling Point July December 2012 January June 2013 January June 2014 January June 2015 8 990 5 808 3 555 7 866 Letaba non-urban Letaba non-urban Messina non-urban Messina non-urban The second stage is the selection of GPS coordinates from the Nielsen GeoFrame. This would be random across the non-urban area selected above. P a g e 35

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 3.3. Have they used different field force (Is this Quest still?) Response: Fieldwork was not outsourced for the 2009-2015 contract/extended contract period. Nielsen has a dedicated in-house Field team for media audience research. The team is drawn from the best interviewers and must have at least 6 months working experience on other projects, before being considered for AMPS/RAMS. The table below summarises the number of core versus new interviewers who conducted the fieldwork for Eastern Cape, Western Cape, Limpopo, KwaZulu-Natal and Gauteng for the 2014/2015 RAMS releases. 2014 Wave 1 2014 Wave 2 2014 Wave 3 2014 Wave 4 FIELDWORK WAVES 2014 Wave 5 2014 Wave 6 2015 Wave 1 2015 Wave 2 2015 Wave 3 Eastern Cape Core Interviewers 26 25 25 26 25 26 23 24 21 New Interviewers 0 0 1 Total 26 25 26 26 25 26 23 24 21 Resigned 1 0 2 Western Cape Core Interviewers 14 14 13 14 14 14 10 17 18 New Interviewers 11 8 5 Total 14 14 13 14 14 14 21 25 23 Resigned 4 0 1 Limpopo Core Interviewers 8 8 8 10 10 4 9 6 8 New Interviewers 0 0 2 1 2 0 Total 8 8 8 10 10 6 10 8 8 Resigned 1 0 0 1 1 0 KwaZulu-Natal Core Interviewers 21 22 22 20 22 22 20 18 16 New Interviewers 2 0 0 1 0 0 Total 23 22 22 21 22 22 20 18 16 Resigned 0 1 1 2 0 2 Gauteng Core Interviewers 52 54 51 51 55 45 50 51 51 New Interviewers 0 0 1 0 0 1 4 0 0 Total 52 54 52 51 55 46 54 51 51 Resigned 0 0 2 1 1 4 2 0 2 The Western Cape field force was expanded in 2015 to better cope with survey flow. A common core of interviewers was, however, retained. Note: Quest is used for TAMS recruitment only. P a g e 36

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 3.4. Briefing procedure changes. Response: There were no changes made to the way in which briefings were conducted in 2014 and 2015 compared to previous years. Briefing AMPS/RAMS 2014A: Briefings were done in Johannesburg, Durban and Cape Town in January 2014, in the week before the start of fieldwork. The Nielsen Senior Research Executive personally briefed the field interviewers and field supervisors/managers on the changes made for the AMPS 2014A and Jan-Jun 2014 RAMS Diary. Nielsen Client Service was also present at the Johannesburg briefing to provide input on questions from interviewers. A SAARF representative accompanied the Research Executive to all the briefing sessions. Each interviewer receives a detailed instruction booklet for AMPS and RAMS. This booklet also contains summaries of all changes made to the survey. Briefing AMPS/RAMS 2014B: At the end of June 2014, debriefing sessions were held for the 2014A surveys in Johannesburg, Durban and Cape Town. A short briefing of the changes for AMPS/RAMS 2014B was held after the debriefing sessions. This is the standard briefing procedure. Briefing AMPS/RAMS 2015A/B: As 2015 was essentially a repeat of the 2014 survey (with the exception of print, radio and TV lists) it was agreed with SAARF that a face-to-face briefing in Johannesburg would be adequate and that the Media Field Lead would travel to all branches to brief the interviewers and managers/supervisors. The Nielsen Research Executive conducted the briefing in Johannesburg and accompanied the Media Field Lead to Cape Town. The AMPS/RAMS 2015A debriefing was conducted in Johannesburg in July 2015. The 2015B questionnaires were identical to 2015A, with updated media lists. Additional briefings/training sessions 2015 The Media Field Lead made additional trips to the Pretoria and Cape Town branches mid-year to re-train/re-brief the interviewers on the survey procedures. Before Wave 4 commenced, the Media Field Lead visited all branches to follow-up on any field issues. P a g e 37

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 3.5. Field manager changes. Response: At branch level, the field supervisors functionally organise the work at the branch. The managerial role is assumed by the dedicated Media Field Lead and the Field Operations Lead who effectively manage the branch from Johannesburg. This is achieved through daily telephonic contact as well as frequent personal visits. These roles have been filled by the same people for the past 5 years, providing consistent and experienced management for the Media Field branches. Movement at supervisory level does occur more regularly this has always been the case. The consistent flow across the fieldwork period, as well as the meeting of targets by individual provinces, demonstrates that the supervisory function is working well. All the QC checks on the data are handled from the Johannesburg branch. This includes checkbacks which are deliberately separate from the field supervisory function. Any redo s are completed before the data is released. P a g e 38

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 3.6. Substitution levels wave on wave. Response: The table below summarises the proportion of the samples for the last 4 RAMS releases that were substituted for reasons such as outright refusal, security and no contact after 4 calls have been made. Province SUBSTITUTES JUN 15 SEP 15 NOV 15 Western Cape 39.9 40.4 44.2 Northern Cape 33.8 34.3 34.3 Free State 34.4 36.8 36.2 Eastern Cape 23.3 24.7 26.3 KwaZulu-Natal 38.2 40.7 44.8 Mpumalanga 20.2 22.0 22.0 Limpopo 17.0 17.3 20.0 Gauteng 45.4 48.1 50.6 North-West 19.0 20.3 22.9 Total 34.1 36.2 38.6 Nielsen has always openly disclosed our substitution figures. We have very strict substitution procedures in place and substitution is carefully monitored throughout fieldwork. Any urban substitution that occurred 1km or further from the original address, is investigated. If it is found that the interviewer has not followed the procedures, the questionnaire is rejected and redone. Substitution levels by interviewer are tracked and if they are found to be on the increase, the interviewer is investigated. Even though our Field division has consistently implemented new procedures for obtaining original interviews, the success rate has decreased slightly over time, due to security concerns. P a g e 39

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 3.7. Back checks by province wave on wave. Response: Contractually Nielsen must perform at least 15% back checks on completed work. The Back-check summaries below for the Sep 15 and Nov 15 RAMS releases reflect that more than the required 15% call-backs have been done for each province: 21% for Sep 15 and 24% for Nov 15. 100% back checks are done on suspect work and on interviewers that are new to the survey. Also indicated in the summaries below are the number of questionnaires that were re-done as a result of either check-backs or other internal quality checks. These were redone prior to data release. P a g e 40

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 3.8. Is there a possibility that more non-working main respondents were interviewed as they were more available. Response: The proportion of employed Diarykeepers in Nov 15 (45.0%) is almost identical to the Sep 15 (44.8%) percentage. Employment status comparisons, by province, are provided in Appendix 1. There are no significant differences in any province. P a g e 41

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 3.9. Has there been a change in the time of day of interviews ie more in daytime/easy to contact households? Response: The AMPS survey is a 4-Call survey: initial call + 3 call-backs at different times of the day and on different days of the week. The first call is done after 5pm on a weekday or on the weekend. This is strictly applied in urban areas to maximise the chance of the interviewer making contact with someone at home. If the required respondent (according to the grid) is available, he/she is interviewed. The fourth call (or substitute call) is done on a different day to all 3 previous calls, and must be in the evening or over a weekend, unless the interviewer has made an appointment with the respondent. The table below summarises the successful calls by time of day for the Sep 15 and Nov 15 RAMS releases. Time of Day 9am 1pm Call 1 Successful Call 2 Successful Call 3 Successful Call 4 Successful Sep 15 Nov 15 Sep 15 Nov 15 Sep 15 Nov 15 Sep 15 Nov 15 36.0 37.1 39.0 38.9 35.9 37.5 34.8 35.5 1pm 5pm 51.8 51.1 51.3 52.5 49.5 52.6 47.7 49.7 5pm 6pm 9.0 8.8 7.0 6.5 9.1 7.2 11.4 9.5 6pm or later 3.3 3.0 2.8 2.1 5.5 2.7 6.0 5.3 There has not been a change in the contact times of households, wave on wave. No changes were made to the Callprocedures. There is no concern on Nielsen s side that more easy to contact households were interviewed for the Nov 15 release. P a g e 42

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 3.10. Can we look at placement/collection days across days of the week across the interview period this might account for the drop on the Saturday? Response: Contractually, Nielsen must ensure that placements are spread across the days of the week, and interviewing must be spread across the fieldwork period. Sunday placements can be lower, due to religious and cultural reasons. The table below shows the percentage of placements done for the Sep 15 and Nov 15 RAMS releases by day of week. Sep 15 % Nov 15 % Monday Tuesday 14.0 14.1 13.7 12.9 The Sep 15 and Nov 15 Diary placement proportions across the week are very similar Wednesday 15.5 14.6 Thursday 16.3 15.9 Friday 14.9 15.8 Saturday 16.2 17.2 Sunday 8.9 9.9 Respondents start filling in their diaries on the day after the placement, so that it measures a full day. Methodologically, Saturday is not handled differently to any other day. The placement days are closely monitored week-by-week, with provincial weekly targets. Fieldwork Progress Reports are sent to Client weekly. Three complete 2015 reports are included in the response to Question 2.3. P a g e 43

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE Summary of Nielsen s response to Point 3 Sampling Methodology/Field Force changes Samples have been plotted for the provinces with listenership declines the distribution of points and coverage is comparable between Sep 15 and Nov 15. While there is natural churn in fieldforce personnel, a substantial core of experienced interviewers and managers has been retained across the year. Substitution levels are increasing as a result of growing security concerns. The close similarity in demographic profiles, by province, between the Sep 15 and Nov 15 surveys, indicates that this small increase in substitution has not had a material impact on survey composition. For both the Sep 15 and Nov 15 releases, Nielsen has conducted more than the required 15% back-checks 21% and 24% respectively. These back-checks, together with the other internal quality checks conducted, resulted in between 2% and 3% of interviews needing to be redone, before the data was analysed and released. With regard to time of day for interviews, this was comparable between Sep 15 and Nov 15. The consistent proportion of employed Diarykeepers indicates that the call procedures are being adhered to. P a g e 44

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 4. WEIGHTING: In this section we will be addressing both 4.1 and 4.2. 4.1. Have the weights been applied correctly? Have all weighting cells been accounted for? 4.2. So I think they need to look at the 2 surveys (urban/rural) before they combine them ie the latest urban diaries on their own, the rural component from the earlier wave on its own and then the combined together. I know weighting is probably done once at the end but even in a manual way there has to be a way to separate out the results? Response: INTERNAL DOUBLE-CHECKS On first analysis of the Nov 15 RAMS results, and noticing the provincial listening movements (declines for Western Cape, Eastern Cape, Limpopo, increases for KZN and Gauteng), Nielsen immediately initiated a double-check of all the processes in November 2015, prior to sending the datafile to the bureau and before the Scrutiny Meetings. This included reconstituting the final combined file from the individual components; checking all the demographic and quarter hour data manipulations; and comparing listening data from a sample of respondents on the final datafile back to their source paper diaries. The weighting was also re-checked to ensure every respondent has a weight, that the populations for key weighting demographics matched the relevant IHS population estimates; and that the weighting factors for Nov 15 were similar to those in Sep 15. No discrepancies were found in any of these processes. ADDITIONAL GLOBAL VALIDATIONS In addition to the local verification exercises conducted by the Nielsen RAMS Team, the Nielsen Global Stats Team, based in the U.S., conducted further statistical analyses and data checks on the November 15 dataset, together with the Sep 15 dataset. They too verified that the file was correctly constituted by building it from scratch from its raw elements. Detailed weighting checks were also conducted. They confirmed that no errors occurred in the weighting process. As stated by Etienne Josserand, Lead Data Scientist, Methods We did not observe any evidence to indicate that the W3 radio audience estimates were inaccurate Their report is included as Appendix 5. P a g e 45

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE 4.3. Is there a change in the IHS area classifications that may been impacting in the WC in particular? Eg a rural area in the September Wave is reclassified as urban in November. Response: The RAMS sample data is weighted by the following 4 community classifications: 1. Metropolitan (250 000+ population size) 2. City/Large Town (40 000 249 999) 3. Small Town/Large Village/Small Village (500 39 999) 4. Settlements (less than 500 population) + Rural (Non-urban + Tribal areas) The population update applied to the Nov 15 RAMS release had a small impact of 1.6% for the total country. Very few places changed their community size definition. The majority of these movements were within group 3, therefore not impacting on the community weighting categories at all. Two sampled settlements were re-classified as Small Villages 1 in Northern Cape and 1 in Mpumalanga. Therefore, no change in the area classifications though the IHS update process could have impacted on the November 15 RAMS results. Summary of Nielsen s response to Point 4 Weighting All RAMS QC processes and weighting have been double-checked by the local team for the Nov 15 and Sep 15 surveys. In addition, the Nielsen Global Statistical Team has validated these processes and reconstituted the final data files from the individual raw components. They confirmed that there were no errors in the weighting that could have impacted on results. P a g e 46

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE APPENDIX 1 Analyses to assess impact of population changes Detailed demographics by province

Sep Nov Diff Sep Nov Diff Total 37665 38259 594 1.6% 4427 4508 81 1.8% '000 '000 '000 %Change '000 '000 '000 %Change Total 37665 38259 594 1.6% 4427 4508 81 1.8% SEX MALE 18168 18488 320 1.8% 2138 2179 41 1.9% 48.2 48.3 0.1 0.2% 48.3 48.3 0 0.0% 11.8 11.8 0 0.0% FEMALE 19496 19771 275 1.4% 2288 2329 41 1.8% 51.8 51.7-0.1-0.2% 51.7 51.7 0 0.0% 11.7 11.8 0.1 0.9% AGE 15-24 9493 9505 12 0.1% 911 912 1 0.1% 25.2 24.8-0.4-1.6% 20.6 20.2-0.4-1.9% 9.6 9.6 0 0.0% 25-34 9289 9367 78 0.8% 1100 1112 12 1.1% 24.7 24.5-0.2-0.8% 24.8 24.7-0.1-0.4% 11.8 11.9 0.1 0.8% 35-49 9261 9434 173 1.9% 1258 1283 25 2.0% 24.6 24.7 0.1 0.4% 28.4 28.5 0.1 0.4% 13.6 13.6 0 0.0% 50+ 9622 9953 331 3.4% 1158 1201 43 3.7% 25.5 26 0.5 2.0% 26.2 26.6 0.4 1.5% 12 12.1 0.1 0.8% POP GROUP BLACKS 29378 29898 520 1.8% 1488 1545 57 3.8% 78 78.1 0.1 0.1% 33.6 34.3 0.7 2.1% 5.1 5.2 0.1 2.0% COLOUREDS 3442 3485 43 1.2% 2124 2149 25 1.2% 9.1 9.1 0 0.0% 48 47.7-0.3-0.6% 61.7 61.7 0 0.0% INDIANS 1012 1037 25 2.5% 42 47 5 11.9% 2.7 2.7 0 0.0% 1 1 0 0.0% 4.2 4.5 0.3 7.1% WHITES 3832 3838 6 0.2% 772 767-5 -0.6% 10.2 10-0.2-2.0% 17.4 17-0.4-2.3% 20.2 20-0.2-1.0% COMMUNITY LARGE URBAN 19926 20424 498 2.5% 3361 3415 54 1.6% 52.9 53.4 0.5 0.9% 75.9 75.7-0.2-0.3% SMALL URBAN/ RURAL NATIONAL W.CAPE WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE 16.9 16.7-0.2-1.2% 17738 17834 96 0.5% 1065 1093 28 2.6% 47.1 46.6-0.5-1.1% 24.1 24.3 0.2 0.8% Proportion of WC Rural unchanged 6 6.1 0.1 1.7% EMPLOYMENT Employed 16883 17230 347 2.1% 2346 2393 47 2.0% 44.8 45 0.2 0.4% 53 53.1 0.1 0.2% 13.9 13.9 0 0.0% Unemployed 20782 21029 247 1.2% 2080 2115 35 1.7% 55.2 55-0.2-0.4% 47 46.9-0.1-0.2% 10 10.1 0.1 1.0%

NATIONAL W.CAPE Sep Nov Diff Sep Nov Diff Total 37665 38259 594 1.6% 4427 4508 81 1.8% '000 '000 '000 %Change '000 '000 '000 %Change METRO AREA Cape Town 2590 2625 35 1.4% 2590 2625 35 1.4% 6.9 6.9 0 0.0% 58.5 58.2-0.3-0.5% 100 10.0% CT Fringe 499 512 13 2.6% 499 512 13 2.6% 1.3 1.3 0 0.0% 11.3 11.4 0.1 0.9% 100 10.0% PE/Uit 902 906 4 0.4% 2.4 2.4 0 0.0% EL 376 379 3 0.8% 1 1 0 0.0% Dbn 2095 2109 14 0.7% 5.6 5.5-0.1-1.8% PMB 347 349 2 0.6% 0.9 0.9 0 0.0% Kimberley 145 147 2 1.4% 0.4 0.4 0 0.0% Bloem 367 371 4 1.1% 1 1 0 0.0% Vaal 866 893 27 3.1% 2.3 2.3 0 0.0% Gtr JHB 2629 2721 92 3.5% 7 7.1 0.1 1.4% Soweto 1043 1083 40 3.8% 2.8 2.8 0 0.0% Reef 3979 4122 143 3.6% 10.6 10.8 0.2 1.9% Pta 1970 2039 69 3.5% 5.2 5.3 0.1 1.9% emalahleni 220 227 7 3.2% 0.6 0.6 0 0.0% WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE

NATIONAL W.CAPE WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE Sep Nov Diff Sep Nov Diff Total 37665 38259 594 1.6% 4427 4508 81 1.8% '000 '000 '000 %Change '000 '000 '000 %Change LSM 1 519 397-122 -23.5% 1.4 1-0.4-28.6% 2 1159 1110-49 -4.2% 3.1 2.9-0.2-6.5% 3 1872 2092 220 11.8% 16 22 6 37.5% 5 5.5 0.5 10.0% 0.4 0.5 0.1 25.0% 0.9 1.1 0.2 22.2% 4 4528 5089 561 12.4% 74 81 7 9.5% 12 13.3 1.3 10.8% 1.7 1.8 0.1 5.9% 1.6 1.6 0 0.0% 5 5731 6322 591 10.3% 288 271-17 -5.9% 15.2 16.5 1.3 8.6% 6.5 6-0.5-7.7% 5 4.3-0.7-14.0% 6 8882 8422-460 -5.2% 1127 1311 184 16.3% 23.6 22-1.6-6.8% 25.5 29.1 3.6 14.1% 12.7 15.6 2.9 22.8% 7 5102 5063-39 -0.8% 960 932-28 -2.9% 13.5 13.2-0.3-2.2% 21.7 20.7-1 -4.6% 18.8 18.4-0.4-2.1% 8 3487 3521 34 1.0% 672 728 56 8.3% 9.3 9.2-0.1-1.1% 15.2 16.1 0.9 5.9% 19.3 20.7 1.4 7.3% 9 3868 3710-158 -4.1% 786 709-77 -9.8% 10.3 9.7-0.6-5.8% 17.8 15.7-2.1-11.8% 20.3 19.1-1.2-5.9% 10 2517 2533 16 0.6% 503 454-49 -9.7% 6.7 6.6-0.1-1.5% 11.4 10.1-1.3-11.4% 20 17.9-2.1-10.5% LSM 1-4 8078 8687 609 7.5% 90 103 13 14.4% 21.4 22.7 1.3 6.1% 2 2.3 0.3 15.0% 1.1 1.2 0.1 9.1% LSM 5-7 19714 19808 94 0.5% 2375 2514 139 5.9% 52.3 51.8-0.5-1.0% 53.7 55.8 2.1 3.9% Growth in WC LSM 5-7 12 12.7 0.7 5.8% LSM 8-10 9873 9764-109 -1.1% 1962 1890-72 -3.7% 26.2 25.5-0.7-2.7% 44.3 41.9-2.4-5.4% 19.9 19.4-0.5-2.5% AVE ADULT HOUSEHOLD SIZE 2.7 2.6 2.9 2.8

Sep Nov Diff Total 37665 38259 594 1.6% '000 '000 '000 %Change Total 37665 38259 594 1.6% SEX MALE 18168 18488 320 1.8% 48.2 48.3 0.1 0.2% FEMALE 19496 19771 275 1.4% 51.8 51.7-0.1-0.2% AGE 15-24 9493 9505 12 0.1% 25.2 24.8-0.4-1.6% 25-34 9289 9367 78 0.8% 24.7 24.5-0.2-0.8% 35-49 9261 9434 173 1.9% 24.6 24.7 0.1 0.4% 50+ 9622 9953 331 3.4% 25.5 26 0.5 2.0% POP GROUP BLACKS 29378 29898 520 1.8% 78 78.1 0.1 0.1% COLOUREDS 3442 3485 43 1.2% 9.1 9.1 0 0.0% INDIANS 1012 1037 25 2.5% 2.7 2.7 0 0.0% WHITES 3832 3838 6 0.2% 10.2 10-0.2-2.0% COMMUNITY LARGE URBAN 19926 20424 498 2.5% 52.9 53.4 0.5 0.9% SMALL URBAN/ RURAL NATIONAL 17738 17834 96 0.5% 47.1 46.6-0.5-1.1% EMPLOYMENT Employed 16883 17230 347 2.1% 44.8 45 0.2 0.4% Unemployed 20782 21029 247 1.2% 55.2 55-0.2-0.4% N.CAPE Sep Nov Diff 775 787 12 1.5% '000 '000 '000 %Change 775 787 12 1.5% 363 369 6 1.7% 46.9 46.8-0.1-0.2% 2 2 0 0.0% 412 419 7 1.7% 53.1 53.2 0.1 0.2% 2.1 2.1 0 0.0% 194 196 2 1.0% 25.1 24.9-0.2-0.8% 2 2.1 0.1 5.0% 172 173 1 0.6% 22.2 22-0.2-0.9% 1.8 1.8 0 0.0% 193 197 4 2.1% 24.9 25 0.1 0.4% 2.1 2.1 0 0.0% 216 222 6 2.8% 27.8 28.2 0.4 1.4% 2.2 2.2 0 0.0% 375 387 12 3.2% 48.4 49.2 0.8 1.7% 1.3 1.3 0 0.0% 331 332 1 0.3% 42.7 42.2-0.5-1.2% 9.6 9.5-0.1-1.0% 2 2 0 0.0% 0.2 0.2 0 0.0% 0.2 0.2 0 0.0% 67 66-1 -1.5% 8.6 8.4-0.2-2.3% 1.7 1.7 0 0.0% 188 191 3 1.6% 24.2 24.2 0 0.0% 0.9 0.9 0 0.0% 587 596 9 1.5% 75.8 75.8 0 0.0% 3.3 3.3 0 0.0% 341 317-24 -7.0% 44.1 40.2-3.9-8.8% 2 1.8-0.2-10.0% 433 471 38 8.8% 55.9 59.8 3.9 7.0% 2.1 2.2 0.1 4.8% WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE

NATIONAL N.CAPE Sep Nov Diff Sep Nov Diff Total 37665 38259 594 1.6% 775 787 12 1.5% '000 '000 '000 %Change '000 '000 '000 %Change METRO AREA Cape Town 2590 2625 35 1.4% 6.9 6.9 0 0.0% CT Fringe 499 512 13 2.6% 1.3 1.3 0 0.0% PE/Uit 902 906 4 0.4% 2.4 2.4 0 0.0% EL 376 379 3 0.8% 1 1 0 0.0% Dbn 2095 2109 14 0.7% 5.6 5.5-0.1-1.8% PMB 347 349 2 0.6% 0.9 0.9 0 0.0% Kimberley 145 147 2 1.4% 0.4 0.4 0 0.0% Bloem 367 371 4 1.1% 1 1 0 0.0% Vaal 866 893 27 3.1% 2.3 2.3 0 0.0% Gtr JHB 2629 2721 92 3.5% 7 7.1 0.1 1.4% Soweto 1043 1083 40 3.8% 2.8 2.8 0 0.0% Reef 3979 4122 143 3.6% 10.6 10.8 0.2 1.9% Pta 1970 2039 69 3.5% 5.2 5.3 0.1 1.9% emalahleni 220 227 7 3.2% 0.6 0.6 0 0.0% 145 147 2 1.4% 18.7 18.7 0 0.0% 100 10.0% WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE

NATIONAL N.CAPE Sep Nov Diff Sep Nov Diff Total 37665 38259 594 1.6% 775 787 12 1.5% '000 '000 '000 %Change '000 '000 '000 %Change LSM 1 519 397-122 -23.5% 1.4 1-0.4-28.6% 2 1159 1110-49 -4.2% 3.1 2.9-0.2-6.5% 3 1872 2092 220 11.8% 5 5.5 0.5 10.0% 4 4528 5089 561 12.4% 12 13.3 1.3 10.8% 5 5731 6322 591 10.3% 15.2 16.5 1.3 8.6% 6 8882 8422-460 -5.2% 23.6 22-1.6-6.8% 7 5102 5063-39 -0.8% 13.5 13.2-0.3-2.2% 8 3487 3521 34 1.0% 9.3 9.2-0.1-1.1% 9 3868 3710-158 -4.1% 10.3 9.7-0.6-5.8% 10 2517 2533 16 0.6% 6.7 6.6-0.1-1.5% LSM 1-4 8078 8687 609 7.5% 21.4 22.7 1.3 6.1% LSM 5-7 19714 19808 94 0.5% 52.3 51.8-0.5-1.0% LSM 8-10 9873 9764-109 -1.1% 26.2 25.5-0.7-2.7% AVE ADULT HOUSEHOLD SIZE 2.7 2.6 0 4 4 0 0.6 0.6 0 1.1 1.1 13 19 6 46.2% 1.6 2.4 0.8 50.0% 1.1 1.7 0.6 54.5% 29 38 9 31.0% 3.7 4.8 1.1 29.7% 1.5 1.8 0.3 20.0% 75 55-20 -26.7% 9.7 7-2.7-27.8% 1.7 1.1-0.6-35.3% 153 167 14 9.2% 19.8 21.2 1.4 7.1% 2.7 2.6-0.1-3.7% 242 260 18 7.4% 31.3 33 1.7 5.4% 2.7 3.1 0.4 14.8% 106 105-1 -0.9% 13.6 13.3-0.3-2.2% 2.1 2.1 0 0.0% 75 65-10 -13.3% 9.7 8.2-1.5-15.5% 2.1 1.8-0.3-14.3% 63 65 2 3.2% 8.1 8.3 0.2 2.5% 1.6 1.8 0.2 12.5% 19 10-9 -47.4% 2.5 1.3-1.2-48.0% 0.8 0.4-0.4-50.0% 116 115-1 -0.9% 15 14.7-0.3-2.0% 1.4 1.3-0.1-7.1% 501 532 31 6.2% 64.7 67.6 2.9 4.5% 2.5 2.7 0.2 8.0% 157 140-17 -10.8% 20.2 17.8-2.4-11.9% 1.6 1.4-0.2-12.5% 2.7 2.6 WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE

Sep Nov Diff Total 37665 38259 594 1.6% '000 '000 '000 %Change Total 37665 38259 594 1.6% SEX MALE 18168 18488 320 1.8% 48.2 48.3 0.1 0.2% FEMALE 19496 19771 275 1.4% 51.8 51.7-0.1-0.2% AGE 15-24 9493 9505 12 0.1% 25.2 24.8-0.4-1.6% 25-34 9289 9367 78 0.8% 24.7 24.5-0.2-0.8% 35-49 9261 9434 173 1.9% 24.6 24.7 0.1 0.4% 50+ 9622 9953 331 3.4% 25.5 26 0.5 2.0% POP GROUP BLACKS 29378 29898 520 1.8% 78 78.1 0.1 0.1% COLOUREDS 3442 3485 43 1.2% 9.1 9.1 0 0.0% INDIANS 1012 1037 25 2.5% 2.7 2.7 0 0.0% WHITES 3832 3838 6 0.2% 10.2 10-0.2-2.0% COMMUNITY LARGE URBAN 19926 20424 498 2.5% 52.9 53.4 0.5 0.9% SMALL URBAN/ RURAL NATIONAL 17738 17834 96 0.5% 47.1 46.6-0.5-1.1% EMPLOYMENT Employed 16883 17230 347 2.1% 44.8 45 0.2 0.4% Unemployed 20782 21029 247 1.2% 55.2 55-0.2-0.4% FREE STATE Sep Nov Diff 1966 1972 6 0.3% '000 '000 '000 %Change 1966 1972 6 0.3% 973 979 6 0.6% 49.5 49.6 0.1 0.2% 5.4 5.3-0.1-1.9% 993 993 0 0.0% 50.5 50.4-0.1-0.2% 5.1 5-0.1-2.0% 530 521-9 -1.7% 27 26.4-0.6-2.2% 5.6 5.5-0.1-1.8% 452 453 1 0.2% 23 23 0 0.0% 4.9 4.8-0.1-2.0% 465 466 1 0.2% 23.7 23.6-0.1-0.4% 5 4.9-0.1-2.0% 519 531 12 2.3% 26.4 26.9 0.5 1.9% 5.4 5.3-0.1-1.9% 1686 1691 5 0.3% 85.7 85.8 0.1 0.1% 5.7 5.7 0 0.0% 70 72 2 2.9% 3.5 3.7 0.2 5.7% 2 2.1 0.1 5.0% 3 2-1 -33.3% 0.1 0.1 0 0.0% 0.3 0.2-0.1-33.3% 208 207-1 -0.5% 10.6 10.5-0.1-0.9% 5.4 5.4 0 0.0% 966 972 6 0.6% 49.1 49.3 0.2 0.4% 4.8 4.8 0 0.0% 1000 100.0% 50.9 50.7-0.2-0.4% 5.6 5.6 0 0.0% 799 819 20 2.5% 40.6 41.6 1 2.5% 4.7 4.8 0.1 2.1% 1167 1153-14 -1.2% 59.4 58.4-1 -1.7% 5.6 5.5-0.1-1.8% WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE

NATIONAL Sep Nov Diff Total 37665 38259 594 1.6% '000 '000 '000 %Change METRO AREA Cape Town 2590 2625 35 1.4% 6.9 6.9 0 0.0% CT Fringe 499 512 13 2.6% 1.3 1.3 0 0.0% PE/Uit 902 906 4 0.4% 2.4 2.4 0 0.0% EL 376 379 3 0.8% 1 1 0 0.0% Dbn 2095 2109 14 0.7% 5.6 5.5-0.1-1.8% PMB 347 349 2 0.6% 0.9 0.9 0 0.0% Kimberley 145 147 2 1.4% 0.4 0.4 0 0.0% Bloem 367 371 4 1.1% 1 1 0 0.0% Vaal 866 893 27 3.1% 2.3 2.3 0 0.0% Gtr JHB 2629 2721 92 3.5% 7 7.1 0.1 1.4% Soweto 1043 1083 40 3.8% 2.8 2.8 0 0.0% Reef 3979 4122 143 3.6% 10.6 10.8 0.2 1.9% Pta 1970 2039 69 3.5% 5.2 5.3 0.1 1.9% emalahleni 220 227 7 3.2% 0.6 0.6 0 0.0% FREE STATE Sep Nov Diff 1966 1972 6 0.3% '000 '000 '000 %Change 367 371 4 1.1% 18.7 18.8 0.1 0.5% 100 10.0% 81 82 1 1.2% 4.1 4.1 0 0.0% 9.3 9.2-0.1-1.1% WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE

NATIONAL Sep Nov Diff Total 37665 38259 594 1.6% '000 '000 '000 %Change LSM 1 519 397-122 -23.5% 1.4 1-0.4-28.6% 2 1159 1110-49 -4.2% 3.1 2.9-0.2-6.5% 3 1872 2092 220 11.8% 5 5.5 0.5 10.0% 4 4528 5089 561 12.4% 12 13.3 1.3 10.8% 5 5731 6322 591 10.3% 15.2 16.5 1.3 8.6% 6 8882 8422-460 -5.2% 23.6 22-1.6-6.8% 7 5102 5063-39 -0.8% 13.5 13.2-0.3-2.2% 8 3487 3521 34 1.0% 9.3 9.2-0.1-1.1% 9 3868 3710-158 -4.1% 10.3 9.7-0.6-5.8% 10 2517 2533 16 0.6% 6.7 6.6-0.1-1.5% LSM 1-4 8078 8687 609 7.5% 21.4 22.7 1.3 6.1% LSM 5-7 19714 19808 94 0.5% 52.3 51.8-0.5-1.0% LSM 8-10 9873 9764-109 -1.1% 26.2 25.5-0.7-2.7% AVE ADULT HOUSEHOLD SIZE 2.7 2.6 FREE STATE Sep Nov Diff 1966 1972 6 0.3% '000 '000 '000 %Change WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE 5 15 10 200.0% 0.2 0.8 0.6 300.0% 0.9 3.8 2.9 322.2% 36 41 5 13.9% 1.8 2.1 0.3 16.7% 3.1 3.7 0.6 19.4% 62 64 2 3.2% 3.2 3.3 0.1 3.1% 3.3 3.1-0.2-6.1% 189 145-44 -23.3% 9.6 7.3-2.3-24.0% 4.2 2.8-1.4-33.3% 388 406 18 4.6% 19.8 20.6 0.8 4.0% 6.8 6.4-0.4-5.9% 632 672 40 6.3% 32.1 34.1 2 6.2% 7.1 8 0.9 12.7% 293 250-43 -14.7% 14.9 12.7-2.2-14.8% 5.7 4.9-0.8-14.0% 157 177 20 12.7% 8 9 1 12.5% 4.5 5 0.5 11.1% 150 154 4 2.7% 7.7 7.8 0.1 1.3% 3.9 4.2 0.3 7.7% 52 48-4 -7.7% 2.6 2.4-0.2-7.7% 2.1 1.9-0.2-9.5% 293 265-28 -9.6% 14.9 13.4-1.5-10.1% 3.6 3-0.6-16.7% 1313 1329 16 1.2% 66.8 67.4 0.6 0.9% Upward movement for LSMs compared to National trend 6.7 6.7 0 0.0% 360 379 19 5.3% 18.3 19.2 0.9 4.9% 3.6 3.9 0.3 8.3% 2.6 2.6

Sep Nov Diff Total 37665 38259 594 1.6% '000 '000 '000 %Change Total 37665 38259 594 1.6% SEX MALE 18168 18488 320 1.8% 48.2 48.3 0.1 0.2% FEMALE 19496 19771 275 1.4% 51.8 51.7-0.1-0.2% AGE 15-24 9493 9505 12 0.1% 25.2 24.8-0.4-1.6% 25-34 9289 9367 78 0.8% 24.7 24.5-0.2-0.8% 35-49 9261 9434 173 1.9% 24.6 24.7 0.1 0.4% 50+ 9622 9953 331 3.4% 25.5 26 0.5 2.0% POP GROUP BLACKS 29378 29898 520 1.8% 78 78.1 0.1 0.1% COLOUREDS 3442 3485 43 1.2% 9.1 9.1 0 0.0% INDIANS 1012 1037 25 2.5% 2.7 2.7 0 0.0% WHITES 3832 3838 6 0.2% 10.2 10-0.2-2.0% COMMUNITY LARGE URBAN 19926 20424 498 2.5% 52.9 53.4 0.5 0.9% SMALL URBAN/ RURAL NATIONAL 17738 17834 96 0.5% 47.1 46.6-0.5-1.1% EMPLOYMENT Employed 16883 17230 347 2.1% 44.8 45 0.2 0.4% Unemployed 20782 21029 247 1.2% 55.2 55-0.2-0.4% E.CAPE WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE Sep Nov Diff 4593 4621 28 0.6% '000 '000 '000 %Change 4593 4621 28 0.6% Smaller increase than National - Minor, no posible impact on results 2128 2146 18 0.8% 46.3 46.4 0.1 0.2% 11.7 11.6-0.1-0.9% 2465 2476 11 0.4% 53.7 53.6-0.1-0.2% 12.6 12.5-0.1-0.8% 1314 1297-17 -1.3% 28.6 28.1-0.5-1.7% 13.8 13.6-0.2-1.4% 960 975 15 1.6% 20.9 21.1 0.2 1.0% 10.3 10.4 0.1 1.0% 926 930 4 0.4% 20.2 20.1-0.1-0.5% 10 9.9-0.1-1.0% 1392 1419 27 1.9% 30.3 30.7 0.4 1.3% 14.5 14.3-0.2-1.4% 3919 3944 25 0.6% 85.3 85.3 0 0.0% 13.3 13.2-0.1-0.8% 397 401 4 1.0% 8.6 8.7 0.1 1.2% 11.5 11.5 0 0.0% 14 14 0 0.0% 0.3 0.3 0 0.0% 1.3 1.3 0 0.0% 263 262-1 -0.4% 5.7 5.7 0 0.0% 6.9 6.8-0.1-1.4% 1516 1524 8 0.5% 33 33 0 0.0% 7.6 7.5-0.1-1.3% 3077 3097 20 0.6% 67 67 0 0.0% 17.3 17.4 0.1 0.6% EC Rural proportion is stable 1455 1523 68 4.7% 31.7 33 1.3 4.1% 8.6 8.8 0.2 2.3% 3138 3098-40 -1.3% 68.3 67-1.3-1.9% 15.1 14.7-0.4-2.6%

NATIONAL E.CAPE Sep Nov Diff Sep Nov Diff Total 37665 38259 594 1.6% 4593 4621 28 0.6% '000 '000 '000 %Change '000 '000 '000 %Change METRO AREA Cape Town 2590 2625 35 1.4% 6.9 6.9 0 0.0% CT Fringe 499 512 13 2.6% 1.3 1.3 0 0.0% PE/Uit 902 906 4 0.4% 2.4 2.4 0 0.0% EL 376 379 3 0.8% 1 1 0 0.0% Dbn 2095 2109 14 0.7% 5.6 5.5-0.1-1.8% PMB 347 349 2 0.6% 0.9 0.9 0 0.0% Kimberley 145 147 2 1.4% 0.4 0.4 0 0.0% Bloem 367 371 4 1.1% 1 1 0 0.0% Vaal 866 893 27 3.1% 2.3 2.3 0 0.0% Gtr JHB 2629 2721 92 3.5% 7 7.1 0.1 1.4% Soweto 1043 1083 40 3.8% 2.8 2.8 0 0.0% Reef 3979 4122 143 3.6% 10.6 10.8 0.2 1.9% Pta 1970 2039 69 3.5% 5.2 5.3 0.1 1.9% emalahleni 220 227 7 3.2% 0.6 0.6 0 0.0% 902 906 4 0.4% 19.6 19.6 0 0.0% 100 10.0% 376 379 3 0.8% 8.2 8.2 0 0.0% 100 10.0% WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE

NATIONAL E.CAPE Sep Nov Diff Sep Nov Diff Total 37665 38259 594 1.6% 4593 4621 28 0.6% '000 '000 '000 %Change '000 '000 '000 %Change LSM 1 519 397-122 -23.5% 1.4 1-0.4-28.6% 2 1159 1110-49 -4.2% 3.1 2.9-0.2-6.5% 3 1872 2092 220 11.8% 5 5.5 0.5 10.0% 4 4528 5089 561 12.4% 12 13.3 1.3 10.8% 5 5731 6322 591 10.3% 15.2 16.5 1.3 8.6% 6 8882 8422-460 -5.2% 23.6 22-1.6-6.8% 7 5102 5063-39 -0.8% 13.5 13.2-0.3-2.2% 8 3487 3521 34 1.0% 9.3 9.2-0.1-1.1% 9 3868 3710-158 -4.1% 10.3 9.7-0.6-5.8% 10 2517 2533 16 0.6% 6.7 6.6-0.1-1.5% LSM 1-4 8078 8687 609 7.5% 21.4 22.7 1.3 6.1% LSM 5-7 19714 19808 94 0.5% 52.3 51.8-0.5-1.0% LSM 8-10 9873 9764-109 -1.1% 26.2 25.5-0.7-2.7% AVE ADULT HOUSEHOLD SIZE 2.7 2.6 299 268-31 -10.4% 6.5 5.8-0.7-10.8% 57.7 67.5 9.8 17.0% 362 313-49 -13.5% 7.9 6.8-1.1-13.9% 31.2 28.2-3 -9.6% 547 641 94 17.2% 11.9 13.9 2 16.8% 29.2 30.6 1.4 4.8% 807 834 27 3.3% 17.6 18.1 0.5 2.8% 17.8 16.4-1.4-7.9% 649 646-3 -0.5% 14.1 14-0.1-0.7% 11.3 10.2-1.1-9.7% 815 826 11 1.3% 17.7 17.9 0.2 1.1% 9.2 9.8 0.6 6.5% 397 431 34 8.6% 8.6 9.3 0.7 8.1% 7.8 8.5 0.7 9.0% 274 256-18 -6.6% 6 5.5-0.5-8.3% 7.8 7.3-0.5-6.4% 289 262-27 -9.3% 6.3 5.7-0.6-9.5% 7.5 7.1-0.4-5.3% 155 145-10 -6.5% 3.4 3.1-0.3-8.8% 6.1 5.7-0.4-6.6% 2015 2056 41 2.0% 43.9 44.5 0.6 1.4% 24.9 23.7-1.2-4.8% 1861 1903 42 2.3% 40.5 41.2 0.7 1.7% Growth in LSM 5-7 9.4 9.6 0.2 2.1% 717 663-54 -7.5% 15.6 14.3-1.3-8.3% 7.3 6.8-0.5-6.8% 2.6 2.5 WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE

Sep Nov Diff Total 37665 38259 594 1.6% '000 '000 '000 %Change Total 37665 38259 594 1.6% SEX MALE 18168 18488 320 1.8% 48.2 48.3 0.1 0.2% FEMALE 19496 19771 275 1.4% 51.8 51.7-0.1-0.2% AGE 15-24 9493 9505 12 0.1% 25.2 24.8-0.4-1.6% 25-34 9289 9367 78 0.8% 24.7 24.5-0.2-0.8% 35-49 9261 9434 173 1.9% 24.6 24.7 0.1 0.4% 50+ 9622 9953 331 3.4% 25.5 26 0.5 2.0% POP GROUP BLACKS 29378 29898 520 1.8% 78 78.1 0.1 0.1% COLOUREDS 3442 3485 43 1.2% 9.1 9.1 0 0.0% INDIANS 1012 1037 25 2.5% 2.7 2.7 0 0.0% WHITES 3832 3838 6 0.2% 10.2 10-0.2-2.0% COMMUNITY LARGE URBAN 19926 20424 498 2.5% 52.9 53.4 0.5 0.9% SMALL URBAN/ RURAL NATIONAL 17738 17834 96 0.5% 47.1 46.6-0.5-1.1% EMPLOYMENT Employed 16883 17230 347 2.1% 44.8 45 0.2 0.4% Unemployed 20782 21029 247 1.2% 55.2 55-0.2-0.4% KWAZ/NAT WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE Sep Nov Diff 7128 7178 50 0.7% '000 '000 '000 %Change 7128 7178 50 0.7% Smaller increase than National - Minor, no posible impact on results 3330 3358 28 0.8% 46.7 46.8 0.1 0.2% 18.3 18.2-0.1-0.5% 3798 3819 21 0.6% 53.3 53.2-0.1-0.2% 19.5 19.3-0.2-1.0% 2073 2042-31 -1.5% 29.1 28.4-0.7-2.4% 21.8 21.5-0.3-1.4% 1757 1774 17 1.0% 24.6 24.7 0.1 0.4% 18.9 18.9 0 0.0% 1562 1576 14 0.9% 21.9 22 0.1 0.5% 16.9 16.7-0.2-1.2% 1735 1785 50 2.9% 24.3 24.9 0.6 2.5% 18 17.9-0.1-0.6% 6059 6117 58 1.0% 85 85.2 0.2 0.2% 20.6 20.5-0.1-0.5% 107 108 1 0.9% 1.5 1.5 0 0.0% 3.1 3.1 0 0.0% 593 587-6 -1.0% 8.3 8.2-0.1-1.2% 58.6 56.6-2 -3.4% 369 365-4 -1.1% 5.2 5.1-0.1-1.9% 9.6 9.5-0.1-1.0% 2892 2911 19 0.7% 40.6 40.5-0.1-0.2% 14.5 14.3-0.2-1.4% 4236 4267 31 0.7% 59.4 59.4 0 0.0% Rural proportion unchanged 23.9 23.9 0 0.0% 3004 3053 49 1.6% 42.1 42.5 0.4 1.0% 17.8 17.7-0.1-0.6% 4124 4124 0 0.0% 57.9 57.5-0.4-0.7% 19.8 19.6-0.2-1.0%

NATIONAL KWAZ/NAT Sep Nov Diff Sep Nov Diff Total 37665 38259 594 1.6% 7128 7178 50 0.7% '000 '000 '000 %Change '000 '000 '000 %Change METRO AREA Cape Town 2590 2625 35 1.4% 6.9 6.9 0 0.0% CT Fringe 499 512 13 2.6% 1.3 1.3 0 0.0% PE/Uit 902 906 4 0.4% 2.4 2.4 0 0.0% EL 376 379 3 0.8% 1 1 0 0.0% Dbn 2095 2109 14 0.7% 5.6 5.5-0.1-1.8% PMB 347 349 2 0.6% 0.9 0.9 0 0.0% Kimberley 145 147 2 1.4% 0.4 0.4 0 0.0% Bloem 367 371 4 1.1% 1 1 0 0.0% Vaal 866 893 27 3.1% 2.3 2.3 0 0.0% Gtr JHB 2629 2721 92 3.5% 7 7.1 0.1 1.4% Soweto 1043 1083 40 3.8% 2.8 2.8 0 0.0% Reef 3979 4122 143 3.6% 10.6 10.8 0.2 1.9% Pta 1970 2039 69 3.5% 5.2 5.3 0.1 1.9% emalahleni 220 227 7 3.2% 0.6 0.6 0 0.0% 2095 2109 14 0.7% 29.4 29.4 0 0.0% 100 10.0% 347 349 2 0.6% 4.9 4.9 0 0.0% 100 10.0% WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE

NATIONAL KWAZ/NAT Sep Nov Diff Sep Nov Diff Total 37665 38259 594 1.6% 7128 7178 50 0.7% '000 '000 '000 %Change '000 '000 '000 %Change LSM 1 519 397-122 -23.5% 1.4 1-0.4-28.6% 2 1159 1110-49 -4.2% 3.1 2.9-0.2-6.5% 3 1872 2092 220 11.8% 5 5.5 0.5 10.0% 4 4528 5089 561 12.4% 12 13.3 1.3 10.8% 5 5731 6322 591 10.3% 15.2 16.5 1.3 8.6% 6 8882 8422-460 -5.2% 23.6 22-1.6-6.8% 7 5102 5063-39 -0.8% 13.5 13.2-0.3-2.2% 8 3487 3521 34 1.0% 9.3 9.2-0.1-1.1% 9 3868 3710-158 -4.1% 10.3 9.7-0.6-5.8% 10 2517 2533 16 0.6% 6.7 6.6-0.1-1.5% LSM 1-4 8078 8687 609 7.5% 21.4 22.7 1.3 6.1% LSM 5-7 19714 19808 94 0.5% 52.3 51.8-0.5-1.0% LSM 8-10 9873 9764-109 -1.1% 26.2 25.5-0.7-2.7% AVE ADULT HOUSEHOLD SIZE 2.7 2.6 161 46-115 -71.4% 2.3 0.6-1.7-73.9% 31 11.5-19.5-62.9% 439 484 45 10.3% 6.2 6.7 0.5 8.1% 37.9 43.6 5.7 15.0% 450 586 136 30.2% 6.3 8.2 1.9 30.2% 24.1 28 3.9 16.2% 1266 1468 202 16.0% 17.8 20.5 2.7 15.2% 28 28.8 0.8 2.9% 1172 1276 104 8.9% 16.4 17.8 1.4 8.5% 20.4 20.2-0.2-1.0% 1366 1117-249 -18.2% 19.2 15.6-3.6-18.8% 15.4 13.3-2.1-13.6% 690 558-132 -19.1% 9.7 7.8-1.9-19.6% 13.5 11-2.5-18.5% 453 393-60 -13.2% 6.4 5.5-0.9-14.1% 13 11.2-1.8-13.8% 544 596 52 9.6% 7.6 8.3 0.7 9.2% 14.1 16.1 2 14.2% 587 653 66 11.2% 8.2 9.1 0.9 11.0% 23.3 25.8 2.5 10.7% 2316 2584 268 11.6% 32.5 36 3.5 10.8% 28.7 29.7 1 3.5% 3228 2952-276 -8.6% 45.3 41.1-4.2-9.3% 16.4 14.9-1.5-9.1% 1585 1642 57 3.6% Some growth for LSM 8-10 22.2 22.9 0.7 3.2% 16 16.8 0.8 5.0% 2.9 2.8 WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE

Sep Nov Diff Total 37665 38259 594 1.6% '000 '000 '000 %Change Total 37665 38259 594 1.6% SEX MALE 18168 18488 320 1.8% 48.2 48.3 0.1 0.2% FEMALE 19496 19771 275 1.4% 51.8 51.7-0.1-0.2% AGE 15-24 9493 9505 12 0.1% 25.2 24.8-0.4-1.6% 25-34 9289 9367 78 0.8% 24.7 24.5-0.2-0.8% 35-49 9261 9434 173 1.9% 24.6 24.7 0.1 0.4% 50+ 9622 9953 331 3.4% 25.5 26 0.5 2.0% POP GROUP BLACKS 29378 29898 520 1.8% 78 78.1 0.1 0.1% COLOUREDS 3442 3485 43 1.2% 9.1 9.1 0 0.0% INDIANS 1012 1037 25 2.5% 2.7 2.7 0 0.0% WHITES 3832 3838 6 0.2% 10.2 10-0.2-2.0% COMMUNITY LARGE URBAN 19926 20424 498 2.5% 52.9 53.4 0.5 0.9% SMALL URBAN/ RURAL NATIONAL 17738 17834 96 0.5% 47.1 46.6-0.5-1.1% EMPLOYMENT Employed 16883 17230 347 2.1% 44.8 45 0.2 0.4% Unemployed 20782 21029 247 1.2% 55.2 55-0.2-0.4% MPUM. Sep Nov Diff 2870 2923 53 1.8% '000 '000 '000 %Change 2870 2923 53 1.8% 1377 1402 25 1.8% 48 48 0 0.0% 7.6 7.6 0 0.0% 1493 1521 28 1.9% 52 52 0 0.0% 7.7 7.7 0 0.0% 800 799-1 -0.1% 27.9 27.3-0.6-2.2% 8.4 8.4 0 0.0% 735 746 11 1.5% 25.6 25.5-0.1-0.4% 7.9 8 0.1 1.3% 674 684 10 1.5% 23.5 23.4-0.1-0.4% 7.3 7.3 0 0.0% 661 694 33 5.0% 23 23.7 0.7 3.0% 6.9 7 0.1 1.4% WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE 2520 2549 29 1.2% 87.8 87.2-0.6-0.7% 8.6 8.5-0.1-1.2% 33 31-2 -6.1% 1.2 1.1-0.1-8.3% 1 0.9-0.1-10.0% 30 38 8 26.7% 1 1.3 0.3 30.0% 2.9 3.7 0.8 27.6% 288 305 17 5.9% 10 10.4 0.4 4.0% White proportion has marginally grown 7.5 7.9 0.4 5.3% 910 959 49 5.4% 31.7 32.8 1.1 3.5% 4.6 4.7 0.1 2.2% 1960 1964 4 0.2% 68.3 67.2-1.1-1.6% 11.1 11-0.1-0.9% 1262 1368 106 8.4% 44 46.8 2.8 6.4% 7.5 7.9 0.4 5.3% 1608 1555-53 -3.3% 56 53.2-2.8-5.0% 7.7 7.4-0.3-3.9%

NATIONAL MPUM. Sep Nov Diff Sep Nov Diff Total 37665 38259 594 1.6% 2870 2923 53 1.8% '000 '000 '000 %Change '000 '000 '000 %Change METRO AREA Cape Town 2590 2625 35 1.4% 6.9 6.9 0 0.0% CT Fringe 499 512 13 2.6% 1.3 1.3 0 0.0% PE/Uit 902 906 4 0.4% 2.4 2.4 0 0.0% EL 376 379 3 0.8% 1 1 0 0.0% Dbn 2095 2109 14 0.7% 5.6 5.5-0.1-1.8% PMB 347 349 2 0.6% 0.9 0.9 0 0.0% Kimberley 145 147 2 1.4% 0.4 0.4 0 0.0% Bloem 367 371 4 1.1% 1 1 0 0.0% Vaal 866 893 27 3.1% 2.3 2.3 0 0.0% Gtr JHB 2629 2721 92 3.5% 7 7.1 0.1 1.4% Soweto 1043 1083 40 3.8% 2.8 2.8 0 0.0% Reef 3979 4122 143 3.6% 10.6 10.8 0.2 1.9% Pta 1970 2039 69 3.5% 5.2 5.3 0.1 1.9% emalahleni 220 227 7 3.2% 0.6 0.6 0 0.0% 220 227 7 3.2% 7.7 7.8 0.1 1.3% 100 10.0% WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE

NATIONAL MPUM. Sep Nov Diff Sep Nov Diff Total 37665 38259 594 1.6% 2870 2923 53 1.8% '000 '000 '000 %Change '000 '000 '000 %Change LSM 1 519 397-122 -23.5% 1.4 1-0.4-28.6% 2 1159 1110-49 -4.2% 3.1 2.9-0.2-6.5% 3 1872 2092 220 11.8% 5 5.5 0.5 10.0% 4 4528 5089 561 12.4% 12 13.3 1.3 10.8% 5 5731 6322 591 10.3% 15.2 16.5 1.3 8.6% 6 8882 8422-460 -5.2% 23.6 22-1.6-6.8% 7 5102 5063-39 -0.8% 13.5 13.2-0.3-2.2% 8 3487 3521 34 1.0% 9.3 9.2-0.1-1.1% 9 3868 3710-158 -4.1% 10.3 9.7-0.6-5.8% 10 2517 2533 16 0.6% 6.7 6.6-0.1-1.5% LSM 1-4 8078 8687 609 7.5% 21.4 22.7 1.3 6.1% LSM 5-7 19714 19808 94 0.5% 52.3 51.8-0.5-1.0% LSM 8-10 9873 9764-109 -1.1% 26.2 25.5-0.7-2.7% AVE ADULT HOUSEHOLD SIZE 2.7 2.6 WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE 14 18 4 28.6% 0.5 0.6 0.1 20.0% 2.8 4.6 1.8 64.3% 122 72-50 -41.0% 4.2 2.4-1.8-42.9% 10.5 6.5-4 -38.1% 139 93-46 -33.1% 4.8 3.2-1.6-33.3% 7.4 4.4-3 -40.5% 369 405 36 9.8% 12.8 13.8 1 7.8% 8.1 8-0.1-1.2% 601 718 117 19.5% 20.9 24.6 3.7 17.7% 10.5 11.4 0.9 8.6% 768 655-113 -14.7% 26.8 22.4-4.4-16.4% 8.6 7.8-0.8-9.3% 330 360 30 9.1% 11.5 12.3 0.8 7.0% 6.5 7.1 0.6 9.2% 148 186 38 25.7% 5.2 6.4 1.2 23.1% 4.2 5.3 1.1 26.2% 268 317 49 18.3% 9.3 10.8 1.5 16.1% 6.9 8.5 1.6 23.2% 112 99-13 -11.6% 3.9 3.4-0.5-12.8% 4.5 3.9-0.6-13.3% 644 587-57 -8.9% 22.4 20.1-2.3-10.3% 8 6.8-1.2-15.0% 1698 1734 36 2.1% 59.2 59.3 0.1 0.2% Upward movement for LSMs compared to National trend 8.6 8.8 0.2 2.3% 529 602 73 13.8% 18.4 20.6 2.2 12.0% 5.4 6.2 0.8 14.8% 2.7 2.6

Sep Nov Diff Total 37665 38259 594 1.6% '000 '000 '000 %Change Total 37665 38259 594 1.6% SEX MALE 18168 18488 320 1.8% 48.2 48.3 0.1 0.2% FEMALE 19496 19771 275 1.4% 51.8 51.7-0.1-0.2% AGE 15-24 9493 9505 12 0.1% 25.2 24.8-0.4-1.6% 25-34 9289 9367 78 0.8% 24.7 24.5-0.2-0.8% 35-49 9261 9434 173 1.9% 24.6 24.7 0.1 0.4% 50+ 9622 9953 331 3.4% 25.5 26 0.5 2.0% POP GROUP BLACKS 29378 29898 520 1.8% 78 78.1 0.1 0.1% COLOUREDS 3442 3485 43 1.2% 9.1 9.1 0 0.0% INDIANS 1012 1037 25 2.5% 2.7 2.7 0 0.0% WHITES 3832 3838 6 0.2% 10.2 10-0.2-2.0% COMMUNITY LARGE URBAN 19926 20424 498 2.5% 52.9 53.4 0.5 0.9% SMALL URBAN/ RURAL NATIONAL 17738 17834 96 0.5% 47.1 46.6-0.5-1.1% EMPLOYMENT Employed 16883 17230 347 2.1% 44.8 45 0.2 0.4% Unemployed 20782 21029 247 1.2% 55.2 55-0.2-0.4% LIMPOPO WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE Sep Nov Diff 3659 3656-3 -0.1% '000 '000 '000 %Change 3659 3656-3 -0.1% No change to population - no possible impact on results 1679 1682 3 0.2% 45.9 46 0.1 0.2% 9.2 9.1-0.1-1.1% 1980 1975-5 -0.3% 54.1 54-0.1-0.2% 10.2 10-0.2-2.0% 1171 1159-12 -1.0% 32 31.7-0.3-0.9% 12.3 12.2-0.1-0.8% 785 777-8 -1.0% 21.5 21.2-0.3-1.4% 8.5 8.3-0.2-2.4% 768 757-11 -1.4% 21 20.7-0.3-1.4% 8.3 8-0.3-3.6% 935 964 29 3.1% 25.5 26.4 0.9 3.5% 9.7 9.7 0 0.0% 3516 3512-4 -0.1% 96.1 96.1 0 0.0% 12 11.7-0.3-2.5% 9 11 2 22.2% 0.2 0.3 0.1 50.0% 0.3 0.3 0 0.0% 19 19 0 0.0% 0.5 0.5 0 0.0% 1.9 1.8-0.1-5.3% 115 114-1 -0.9% 3.1 3.1 0 0.0% 3 3 0 0.0% 144 163 19 13.2% 3.9 4.5 0.6 15.4% 0.7 0.8 0.1 14.3% 3514 3493-21 -0.6% 96.1 95.5-0.6-0.6% 19.8 19.6-0.2-1.0% 1237 1097-140 -11.3% 33.8 30-3.8-11.2% Decrease in Employment 7.3 6.4-0.9-12.3% 2422 2560 138 5.7% 66.2 70 3.8 5.7% Increase in Unemployment 11.7 12.2 0.5 4.3%

NATIONAL LIMPOPO Sep Nov Diff Sep Nov Diff Total 37665 38259 594 1.6% 3659 3656-3 -0.1% '000 '000 '000 %Change '000 '000 '000 %Change METRO AREA Cape Town 2590 2625 35 1.4% 6.9 6.9 0 0.0% CT Fringe 499 512 13 2.6% 1.3 1.3 0 0.0% PE/Uit 902 906 4 0.4% 2.4 2.4 0 0.0% EL 376 379 3 0.8% 1 1 0 0.0% Dbn 2095 2109 14 0.7% 5.6 5.5-0.1-1.8% PMB 347 349 2 0.6% 0.9 0.9 0 0.0% Kimberley 145 147 2 1.4% 0.4 0.4 0 0.0% Bloem 367 371 4 1.1% 1 1 0 0.0% Vaal 866 893 27 3.1% 2.3 2.3 0 0.0% Gtr JHB 2629 2721 92 3.5% 7 7.1 0.1 1.4% Soweto 1043 1083 40 3.8% 2.8 2.8 0 0.0% Reef 3979 4122 143 3.6% 10.6 10.8 0.2 1.9% Pta 1970 2039 69 3.5% 5.2 5.3 0.1 1.9% emalahleni 220 227 7 3.2% 0.6 0.6 0 0.0% WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE

NATIONAL LIMPOPO Sep Nov Diff Sep Nov Diff Total 37665 38259 594 1.6% 3659 3656-3 -0.1% '000 '000 '000 %Change '000 '000 '000 %Change LSM 1 519 397-122 -23.5% 1.4 1-0.4-28.6% 2 1159 1110-49 -4.2% 3.1 2.9-0.2-6.5% 3 1872 2092 220 11.8% 5 5.5 0.5 10.0% 4 4528 5089 561 12.4% 12 13.3 1.3 10.8% 5 5731 6322 591 10.3% 15.2 16.5 1.3 8.6% 6 8882 8422-460 -5.2% 23.6 22-1.6-6.8% 7 5102 5063-39 -0.8% 13.5 13.2-0.3-2.2% 8 3487 3521 34 1.0% 9.3 9.2-0.1-1.1% 9 3868 3710-158 -4.1% 10.3 9.7-0.6-5.8% 10 2517 2533 16 0.6% 6.7 6.6-0.1-1.5% LSM 1-4 8078 8687 609 7.5% 21.4 22.7 1.3 6.1% LSM 5-7 19714 19808 94 0.5% 52.3 51.8-0.5-1.0% LSM 8-10 9873 9764-109 -1.1% 26.2 25.5-0.7-2.7% AVE ADULT HOUSEHOLD SIZE 2.7 2.6 21 26 5 23.8% 0.6 0.7 0.1 16.7% 4 6.6 2.6 65.0% 92 60-32 -34.8% 2.5 1.6-0.9-36.0% 8 5.4-2.6-32.5% 315 256-59 -18.7% 8.6 7-1.6-18.6% 16.8 12.3-4.5-26.8% 1039 1315 276 26.6% 28.4 36 7.6 26.8% 22.9 25.8 2.9 12.7% 1070 1272 202 18.9% 29.2 34.8 5.6 19.2% 18.7 20.1 1.4 7.5% 642 402-240 -37.4% 17.5 11-6.5-37.1% 7.2 4.8-2.4-33.3% 139 153 14 10.1% 3.8 4.2 0.4 10.5% 2.7 3 0.3 11.1% 189 89-100 -52.9% 5.2 2.4-2.8-53.8% 5.4 2.5-2.9-53.7% 120 46-74 -61.7% 3.3 1.2-2.1-63.6% 3.1 1.2-1.9-61.3% 32 36 4 12.5% 0.9 1 0.1 11.1% 1.3 1.4 0.1 7.7% 1467 1658 191 13.0% 40.1 45.3 5.2 13.0% 18.2 19.1 0.9 4.9% 1850 1827-23 -1.2% 50.6 50-0.6-1.2% 9.4 9.2-0.2-2.1% 342 171-171 -50.0% 9.3 4.7-4.6-49.5% 3.5 1.8-1.7-48.6% 2.6 2.6 WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE

Sep Nov Diff Total 37665 38259 594 1.6% '000 '000 '000 %Change Total 37665 38259 594 1.6% SEX MALE 18168 18488 320 1.8% 48.2 48.3 0.1 0.2% FEMALE 19496 19771 275 1.4% 51.8 51.7-0.1-0.2% AGE 15-24 9493 9505 12 0.1% 25.2 24.8-0.4-1.6% 25-34 9289 9367 78 0.8% 24.7 24.5-0.2-0.8% 35-49 9261 9434 173 1.9% 24.6 24.7 0.1 0.4% 50+ 9622 9953 331 3.4% 25.5 26 0.5 2.0% POP GROUP BLACKS 29378 29898 520 1.8% 78 78.1 0.1 0.1% COLOUREDS 3442 3485 43 1.2% 9.1 9.1 0 0.0% INDIANS 1012 1037 25 2.5% 2.7 2.7 0 0.0% WHITES 3832 3838 6 0.2% 10.2 10-0.2-2.0% COMMUNITY LARGE URBAN 19926 20424 498 2.5% 52.9 53.4 0.5 0.9% SMALL URBAN/ RURAL NATIONAL 17738 17834 96 0.5% 47.1 46.6-0.5-1.1% EMPLOYMENT Employed 16883 17230 347 2.1% 44.8 45 0.2 0.4% Unemployed 20782 21029 247 1.2% 55.2 55-0.2-0.4% GAUTENG Sep Nov Diff 9724 10060 336 3.5% '000 '000 '000 %Change 9724 10060 336 3.5% 4883 5063 180 3.7% 50.2 50.3 0.1 0.2% 26.9 27.4 0.5 1.9% 4840 4997 157 3.2% 49.8 49.7-0.1-0.2% 24.8 25.3 0.5 2.0% 1897 1981 84 4.4% 19.5 19.7 0.2 1.0% 20 20.8 0.8 4.0% 2721 2745 24 0.9% 28 27.3-0.7-2.5% 29.3 29.3 0 0.0% 2766 2886 120 4.3% 28.4 28.7 0.3 1.1% 29.9 30.6 0.7 2.3% 2340 2447 107 4.6% 24.1 24.3 0.2 0.8% 24.3 24.6 0.3 1.2% 7575 7888 313 4.1% 77.9 78.4 0.5 0.6% 25.8 26.4 0.6 2.3% 325 332 7 2.2% 3.3 3.3 0 0.0% 9.4 9.5 0.1 1.1% 287 304 17 5.9% 3 3 0 0.0% 28.4 29.3 0.9 3.2% 1537 1536-1 -0.1% 15.8 15.3-0.5-3.2% 40.1 40-0.1-0.2% 9266 9599 333 3.6% 95.3 95.4 0.1 0.1% 46.5 47 0.5 1.1% 457 460 3 0.7% 4.7 4.6-0.1-2.1% 2.6 2.6 0 0.0% 5417 5640 223 4.1% 55.7 56.1 0.4 0.7% 32.1 32.7 0.6 1.9% 4307 4420 113 2.6% 44.3 43.9-0.4-0.9% 20.7 21 0.3 1.4% WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE

NATIONAL GAUTENG Sep Nov Diff Sep Nov Diff Total 37665 38259 594 1.6% 9724 10060 336 3.5% '000 '000 '000 %Change '000 '000 '000 %Change METRO AREA Cape Town 2590 2625 35 1.4% 6.9 6.9 0 0.0% CT Fringe 499 512 13 2.6% 1.3 1.3 0 0.0% PE/Uit 902 906 4 0.4% 2.4 2.4 0 0.0% EL 376 379 3 0.8% 1 1 0 0.0% Dbn 2095 2109 14 0.7% 5.6 5.5-0.1-1.8% PMB 347 349 2 0.6% 0.9 0.9 0 0.0% Kimberley 145 147 2 1.4% 0.4 0.4 0 0.0% Bloem 367 371 4 1.1% 1 1 0 0.0% Vaal 866 893 27 3.1% 2.3 2.3 0 0.0% Gtr JHB 2629 2721 92 3.5% 7 7.1 0.1 1.4% Soweto 1043 1083 40 3.8% 2.8 2.8 0 0.0% Reef 3979 4122 143 3.6% 10.6 10.8 0.2 1.9% Pta 1970 2039 69 3.5% 5.2 5.3 0.1 1.9% emalahleni 220 227 7 3.2% 0.6 0.6 0 0.0% 785 811 26 3.3% 8.1 8.1 0 0.0% 90.7 90.8 0.1 0.1% 2629 2721 92 3.5% 27 27 0 0.0% 100 10.0% 1043 1083 40 3.8% 10.7 10.8 0.1 0.9% 100 10.0% 3979 4122 143 3.6% 40.9 41 0.1 0.2% 100 10.0% 1970 2039 69 3.5% 20.3 20.3 0 0.0% 100 10.0% WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE

NATIONAL GAUTENG Sep Nov Diff Sep Nov Diff Total 37665 38259 594 1.6% 9724 10060 336 3.5% '000 '000 '000 %Change '000 '000 '000 %Change LSM 1 519 397-122 -23.5% 1.4 1-0.4-28.6% 2 1159 1110-49 -4.2% 3.1 2.9-0.2-6.5% 3 1872 2092 220 11.8% 5 5.5 0.5 10.0% 4 4528 5089 561 12.4% 12 13.3 1.3 10.8% 5 5731 6322 591 10.3% 15.2 16.5 1.3 8.6% 6 8882 8422-460 -5.2% 23.6 22-1.6-6.8% 7 5102 5063-39 -0.8% 13.5 13.2-0.3-2.2% 8 3487 3521 34 1.0% 9.3 9.2-0.1-1.1% 9 3868 3710-158 -4.1% 10.3 9.7-0.6-5.8% 10 2517 2533 16 0.6% 6.7 6.6-0.1-1.5% LSM 1-4 8078 8687 609 7.5% 21.4 22.7 1.3 6.1% LSM 5-7 19714 19808 94 0.5% 52.3 51.8-0.5-1.0% LSM 8-10 9873 9764-109 -1.1% 26.2 25.5-0.7-2.7% AVE ADULT HOUSEHOLD SIZE 2.7 2.6 49 36-13 -26.5% 0.5 0.4-0.1-20.0% 4.2 3.3-0.9-21.4% 139 219 80 57.6% 1.4 2.2 0.8 57.1% 7.4 10.5 3.1 41.9% 224 273 49 21.9% 2.3 2.7 0.4 17.4% 4.9 5.4 0.5 10.2% 854 918 64 7.5% 8.8 9.1 0.3 3.4% 14.9 14.5-0.4-2.7% 2607 2621 14 0.5% 26.8 26.1-0.7-2.6% 29.4 31.1 1.7 5.8% 1934 2018 84 4.3% 19.9 20.1 0.2 1.0% 37.9 39.9 2 5.3% 1378 1494 116 8.4% 14.2 14.9 0.7 4.9% 39.5 42.4 2.9 7.3% 1518 1435-83 -5.5% 15.6 14.3-1.3-8.3% 39.2 38.7-0.5-1.3% 1020 1045 25 2.5% 10.5 10.4-0.1-1.0% 40.5 41.2 0.7 1.7% 412 529 117 28.4% 4.2 5.3 1.1 26.2% 5.1 6.1 1 19.6% 5395 5557 162 3.0% 55.5 55.2-0.3-0.5% 27.4 28.1 0.7 2.6% 3916 3974 58 1.5% 40.3 39.5-0.8-2.0% 39.7 40.7 1 2.5% 2.5 2.5 WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE

Sep Nov Diff Total 37665 38259 594 1.6% '000 '000 '000 %Change Total 37665 38259 594 1.6% SEX MALE 18168 18488 320 1.8% 48.2 48.3 0.1 0.2% FEMALE 19496 19771 275 1.4% 51.8 51.7-0.1-0.2% AGE 15-24 9493 9505 12 0.1% 25.2 24.8-0.4-1.6% 25-34 9289 9367 78 0.8% 24.7 24.5-0.2-0.8% 35-49 9261 9434 173 1.9% 24.6 24.7 0.1 0.4% 50+ 9622 9953 331 3.4% 25.5 26 0.5 2.0% POP GROUP BLACKS 29378 29898 520 1.8% 78 78.1 0.1 0.1% COLOUREDS 3442 3485 43 1.2% 9.1 9.1 0 0.0% INDIANS 1012 1037 25 2.5% 2.7 2.7 0 0.0% WHITES 3832 3838 6 0.2% 10.2 10-0.2-2.0% COMMUNITY LARGE URBAN 19926 20424 498 2.5% 52.9 53.4 0.5 0.9% SMALL URBAN/ RURAL NATIONAL 17738 17834 96 0.5% 47.1 46.6-0.5-1.1% EMPLOYMENT Employed 16883 17230 347 2.1% 44.8 45 0.2 0.4% Unemployed 20782 21029 247 1.2% 55.2 55-0.2-0.4% N.WEST Sep Nov Diff 2524 2554 30 1.2% '000 '000 '000 %Change 2524 2554 30 1.2% 1297 1311 14 1.1% 51.4 51.3-0.1-0.2% 7.1 7.1 0 0.0% 1227 1243 16 1.3% 48.6 48.7 0.1 0.2% 6.3 6.3 0 0.0% 602 598-4 -0.7% 23.9 23.4-0.5-2.1% 6.3 6.3 0 0.0% 607 611 4 0.7% 24.1 23.9-0.2-0.8% 6.5 6.5 0 0.0% 647 655 8 1.2% 25.6 25.7 0.1 0.4% 7 6.9-0.1-1.4% 667 689 22 3.3% 26.4 27 0.6 2.3% 6.9 6.9 0 0.0% 2240 2265 25 1.1% 88.8 88.7-0.1-0.1% 7.6 7.6 0 0.0% 47 48 1 2.1% 1.9 1.9 0 0.0% 1.4 1.4 0 0.0% 23 25 2 8.7% 0.9 1 0.1 11.1% 2.2 2.4 0.2 9.1% 214 216 2 0.9% 8.5 8.4-0.1-1.2% 5.6 5.6 0 0.0% 682 691 9 1.3% 27 27 0 0.0% 3.4 3.4 0 0.0% 1841 1863 22 1.2% 73 73 0 0.0% 10.4 10.4 0 0.0% WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE 1021 1020-1 -0.1% 40.5 39.9-0.6-1.5% Minor decrease in Employment 6 5.9-0.1-1.7% 1502 1534 32 2.1% 59.5 60.1 0.6 1.0% 7.2 7.3 0.1 1.4%

NATIONAL N.WEST Sep Nov Diff Sep Nov Diff Total 37665 38259 594 1.6% 2524 2554 30 1.2% '000 '000 '000 %Change '000 '000 '000 %Change METRO AREA Cape Town 2590 2625 35 1.4% 6.9 6.9 0 0.0% CT Fringe 499 512 13 2.6% 1.3 1.3 0 0.0% PE/Uit 902 906 4 0.4% 2.4 2.4 0 0.0% EL 376 379 3 0.8% 1 1 0 0.0% Dbn 2095 2109 14 0.7% 5.6 5.5-0.1-1.8% PMB 347 349 2 0.6% 0.9 0.9 0 0.0% Kimberley 145 147 2 1.4% 0.4 0.4 0 0.0% Bloem 367 371 4 1.1% 1 1 0 0.0% Vaal 866 893 27 3.1% 2.3 2.3 0 0.0% Gtr JHB 2629 2721 92 3.5% 7 7.1 0.1 1.4% Soweto 1043 1083 40 3.8% 2.8 2.8 0 0.0% Reef 3979 4122 143 3.6% 10.6 10.8 0.2 1.9% Pta 1970 2039 69 3.5% 5.2 5.3 0.1 1.9% emalahleni 220 227 7 3.2% 0.6 0.6 0 0.0% WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE

NATIONAL N.WEST Sep Nov Diff Sep Nov Diff Total 37665 38259 594 1.6% 2524 2554 30 1.2% '000 '000 '000 %Change '000 '000 '000 %Change LSM 1 519 397-122 -23.5% 1.4 1-0.4-28.6% 2 1159 1110-49 -4.2% 3.1 2.9-0.2-6.5% 3 1872 2092 220 11.8% 5 5.5 0.5 10.0% 4 4528 5089 561 12.4% 12 13.3 1.3 10.8% 5 5731 6322 591 10.3% 15.2 16.5 1.3 8.6% 6 8882 8422-460 -5.2% 23.6 22-1.6-6.8% 7 5102 5063-39 -0.8% 13.5 13.2-0.3-2.2% 8 3487 3521 34 1.0% 9.3 9.2-0.1-1.1% 9 3868 3710-158 -4.1% 10.3 9.7-0.6-5.8% 10 2517 2533 16 0.6% 6.7 6.6-0.1-1.5% LSM 1-4 8078 8687 609 7.5% 21.4 22.7 1.3 6.1% LSM 5-7 19714 19808 94 0.5% 52.3 51.8-0.5-1.0% LSM 8-10 9873 9764-109 -1.1% 26.2 25.5-0.7-2.7% AVE ADULT HOUSEHOLD SIZE 2.7 2.6 19 20 1 5.3% 0.8 0.8 0 0.0% 3.7 4.9 1.2 32.4% 46 85 39 84.8% 1.8 3.3 1.5 83.3% 4 7.7 3.7 92.5% 175 172-3 -1.7% 6.9 6.7-0.2-2.9% 9.3 8.2-1.1-11.8% 486 513 27 5.6% 19.2 20.1 0.9 4.7% 10.7 10.1-0.6-5.6% 555 648 93 16.8% 22 25.4 3.4 15.5% 9.7 10.2 0.5 5.2% 682 557-125 -18.3% 27 21.8-5.2-19.3% 7.7 6.6-1.1-14.3% 254 256 2 0.8% 10.1 10-0.1-1.0% 5 5.1 0.1 2.0% 141 133-8 -5.7% 5.6 5.2-0.4-7.1% 4 3.8-0.2-5.0% 129 127-2 -1.6% 5.1 5-0.1-2.0% 3.3 3.4 0.1 3.0% 36 44 8 22.2% 1.4 1.7 0.3 21.4% 1.4 1.7 0.3 21.4% 725 789 64 8.8% 28.7 30.9 2.2 7.7% 9 9.1 0.1 1.1% 1492 1461-31 -2.1% 59.1 57.2-1.9-3.2% 7.6 7.4-0.2-2.6% 306 304-2 -0.7% 12.1 11.9-0.2-1.7% 3.1 3.1 0 0.0% 2.7 2.6 WHERE PROVINCE IMPACT DIFFERS FROM NATIONAL PICTURE

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE APPENDIX 2 Listener Comparisons National Northern Cape Free State KwaZulu-Natal Mpumalanga Gauteng North-West

NATIONAL 7 Day Ave Mon-Fri Sat Sun Sep Nov Sep Nov Sep Nov Sep Nov Infs 27416 26886-530 20497 19905-591 18776 18082-694 18333 18303-30 Total Listener 32352 32670 318 24136 24317 181 22674 22525-149 22508 23282 774 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 SEX MALE 15558 15762 204 11577 11671 94 10967 10948-19 10653 11107 454 48.1 48.2 0.1 48.0 48.0 0.0 48.4 48.6 0.2 47.3 47.7 0.4 FEMALE 16795 16909 114 12558 12646 88 11707 11577-130 11855 12175 320 51.9 51.8-0.1 52.0 52.0 0.0 51.6 51.4-0.2 52.7 52.3-0.4 AGE 15-24 8089 8032-57.0 5856 5824-32.4 5663 5605-58.0 5632 5752 120.0 25.0 24.6-0.4 24.3 23.9-0.3 25.0 24.9-0.1 25.0 24.7-0.3 25-34 8037 8109 72.0 6026 6024-1.6 5611 5643 32.0 5593 5764 171.0 24.8 24.8 0.0 25.0 24.8-0.2 24.7 25.1 0.4 24.8 24.8 0.0 35-49 8045 8137 92.0 6058 6157 98.8 5661 5590-71.0 5642 5748 106.0 24.9 24.9 0.0 25.1 25.3 0.2 25.0 24.8-0.2 25.1 24.7-0.4 50+ 8182 8393 211.0 6195 6313 117.6 5739 5688-51.0 5641 6018 377.0 25.3 25.7 0.4 25.7 26.0 0.3 25.3 25.3 0.0 25.1 25.8 0.7 POP GROUP BLACKS 25698 26071 373.0 19178 19446 267.4 18375 18338-37.0 18693 19437 744.0 79.4 79.8 0.4 79.5 80.0 0.5 81.0 81.4 0.4 83.1 83.5 0.4 COLOUREDS 2587 2497-90.0 1844 1760-83.2 1649 1557-92.0 1585 1594 9.0 8.0 7.6-0.4 7.6 7.2-0.4 7.3 6.9-0.4 7.0 6.8-0.2 INDIANS 816 838 22.0 609 625 15.4 536 549 13.0 467 464-3.0 2.5 2.6 0.1 2.5 2.6 0.0 2.4 2.4 0.0 2.1 2.0-0.1 WHITES 3251 3265 14.0 2504 2487-17.4 2114 2082-32.0 1763 1787 24.0 10.1 10.0-0.1 10.4 10.2-0.1 9.3 9.2-0.1 7.8 7.7-0.1 COMMUNITY LARGE URBAN 16700 17365 665.0 12454 12900 445.4 11201 11755 554.0 11300 12006 706.0 51.6 53.2 + 1.6 51.6 53.0 + 1.4 49.4 52.2 + 2.8 50.2 51.6 1.4 SMALL URBAN/ RURAL 15653 15306-347.0 11681 11417-263.8 11473 10770-703.0 11208 11276 68.0 48.4 46.8 - -1.6 48.4 47.0 - -1.4 50.6 47.8 - -2.8 49.8 48.4-1.4 LSM LSM 1-4 7166 7426 260.0 5417 5508 91.6 5280 5223-57.0 5250 5543 293.0 22.1 22.7 0.6 22.4 22.7 0.2 23.3 23.2-0.1 23.3 23.8 0.5 LSM 5-7 16858 17019 161.0 12614 12763 148.8 11996 11996 0.0 12203 12554 351.0 52.1 52.1 0.0 52.3 52.5 0.2 52.9 53.3 0.4 54.2 53.9-0.3 LSM 8-10 8329 8227-102.0 6105 6046-58.6 5398 5306-92.0 5054 5185 131.0 25.7 25.2-0.5 25.3 24.9-0.4 23.8 23.6-0.2 22.5 22.3-0.2

NATIONAL 7 Day Ave Mon-Fri Sat Sun Sep Nov Sep Nov Sep Nov Sep Nov Infs 27416 26886-530 20497 19905-591 18776 18082-694 18333 18303-30 Total Listener 32352 32670 318 24136 24317 181 22674 22525-149 22508 23282 774 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 METRO AREA Cape Town 1861 1774-87.0 1384 1286-97.8 1200 1126-74.0 1086 1030-56.0 5.8 5.4-0.4 5.7 5.3-0.4 5.3 5.0-0.3 4.8 4.4-0.4 CT Fringe 336 365 29.0 251 285 33.4 195 223 28.0 201 225 24.0 1.0 1.1 0.1 1.0 1.2 0.1 0.9 1.0 0.1 0.9 1.0 0.1 PE/Uit 678 677-1.0 475 461-13.6 403 402-1.0 483 480-3.0 2.1 2.1 0.0 2.0 1.9-0.1 1.8 1.8 0.0 2.1 2.1 0.0 EL 334 343 9.0 219 227 8.2 192 186-6.0 231 244 13.0 1.0 1.1 0.1 0.9 0.9 0.0 0.8 0.8 0.0 1.0 1.0 0.0 Dbn 1744 1821 77.0 1266 1329 63.8 1103 1212 109.0 1065 1185 120.0 5.4 5.6 0.2 5.2 5.5 0.2 4.9 5.4 0.5 4.7 5.1 0.4 PMB 304 317 13.0 228 239 11.2 205 223 18.0 190 193 3.0 0.9 1.0 0.1 0.9 1.0 0.0 0.9 1.0 0.1 0.8 0.8 0.0 Kimberley 136 138 2.0 106 107 0.4 94 93-1.0 115 110-5.0 0.4 0.4 0.0 0.4 0.4 0.0 0.4 0.4 0.0 0.5 0.5 0.0 Bloem 333 339 6.0 265 273 7.6 250 256 6.0 268 267-1.0 1.0 1.0 0.0 1.1 1.1 0.0 1.1 1.1 0.0 1.2 1.1-0.1 Vaal 774 821 47.0 623 659 36.4 567 606 39.0 628 694 66.0 2.4 2.5 0.1 2.6 2.7 0.1 2.5 2.7 0.2 2.8 3.0 0.2 Gtr JHB 2344 2407 63.0 1659 1671 11.4 1574 1587 13.0 1608 1656 48.0 7.2 7.4 0.2 6.9 6.9 0.0 6.9 7.0 0.1 7.1 7.1 0.0 Soweto 856 887 31.0 566 583 17.0 554 569 15.0 617 647 30.0 2.6 2.7 0.1 2.3 2.4 0.1 2.4 2.5 0.1 2.7 2.8 0.1 Reef 3521 3754 233.0 2674 2877 202.8 2397 2635 238.0 2398 2651 253.0 10.9 11.5 0.6 11.1 11.8 0.8 10.6 11.7 + 1.1 10.7 11.4 0.7 Pta 1604 1746 142.0 1181 1270 89.0 1055 1168 113.0 1059 1196 137.0 5.0 5.3 0.3 4.9 5.2 0.3 4.7 5.2 0.5 4.7 5.1 0.4 emalahleni 207 215 8.0 164 174 10.4 132 164 32.0 125 148 23.0 0.6 0.7 0.1 0.7 0.7 0.0 0.6 0.7 0.1 0.6 0.6 0.0 EMPLOYMENT Employed 14474 14765 291.0 10753 10923 170.0 9921 9971 50.0 9796 10200 404.0 44.7 45.2 0.5 44.6 44.9 0.4 43.8 44.3 0.5 43.5 43.8 0.3 Unemployed 17878 17906 28.0 13383 13394 11.6 12753 12554-199.0 12712 13082 370.0 55.3 54.8-0.5 55.4 55.1-0.4 56.2 55.7-0.5 56.5 56.2-0.3

Infs Total Listener SEX MALE FEMALE N.CAPE 7 Day Ave Mon-Fri Sat Sun Sep Nov Sep Nov Sep Nov Sep Nov 1506 1512 6 1159 1139-20 1082 1041-41 1142 1144 2 716 725 9 546 552 6 521 504-17 548 576 28 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 337 337 0 262 252-10 249 230-19 253 265 12 47.1 46.4-0.7 47.9 45.6-2.3 47.8 45.6-2.2 46.1 45.9-0.2 378 388 10 284 300 15 272 274 2 295 312 17 52.9 53.6 0.7 52.1 54.3 2.3 52.2 54.4 2.2 53.9 54.1 0.2 AGE 15-24 25-34 35-49 50+ 174 185 11.0 132 143 11.0 125 137 12.0 130 155 25.0 24.3 25.5 1.2 24.1 25.8 1.7 24.0 27.2 3.2 23.8 27.0 3.2 160 158-2.0 119 113-6.8 111 105-6.0 122 120-2.0 22.4 21.8-0.6 21.9 20.4-1.5 21.4 20.8-0.6 22.3 20.9-1.4 182 184 2.0 140 144 4.2 137 126-11.0 150 139-11.0 25.4 25.3-0.1 25.7 26.2 0.5 26.3 25.0-1.3 27.3 24.1-3.2 200 198-2.0 155 151-3.6 148 136-12.0 146 162 16.0 27.9 27.4-0.5 28.4 27.4-0.9 28.3 27.0-1.3 26.6 28.1 1.5 POP GROUP BLACKS COLOUREDS INDIANS WHITES COMMUNITY LARGE URBAN SMALL URBAN/ RURAL LSM LSM 1-4 LSM 5-7 LSM 8-10 353 371 18.0 266 290 24.0 263 259-4.0 284 310 26.0 49.4 51.1 1.7 48.7 52.5 3.9 50.5 51.3 0.8 51.7 53.7 2.0 298 294-4.0 231 222-9.0 211 207-4.0 225 232 7.0 41.7 40.6-1.1 42.3 40.2-2.1 40.5 41.2 0.7 41.1 40.3-0.8 0 1 1.0 0 1 0.6. 0.0 0.0 0.1 0.1 0.0 0.1 0.1 0.0 0.0 0.0 0.0 0.0 0.0 64 59-5.0 50 40-9.6 47 37-10.0 39 34-5.0 9.0 8.2-0.8 9.1 7.2-1.8 9.0 7.4-1.6 7.2 6.0-1.2 174 179 5.0 134 137 2.6 121 120-1.0 142 138-4.0 24.4 24.6 0.2 24.6 24.8 0.2 23.1 23.9 0.8 25.9 23.9-2.0 541 546 5.0 412 415 2.8 401 383-18.0 406 439 33.0 75.6 75.4-0.2 75.4 75.2-0.3 76.9 76.1-0.8 74.1 76.1 2.0 105 107 2.0 81 73-7.6 75 69-6.0 85 88 3.0 14.7 14.7 0.0 14.8 13.2-1.5 14.4 13.6-0.8 15.5 15.2-0.3 464 496 32.0 356 394 38.2 341 353 12.0 365 402 37.0 64.8 68.5 3.7 65.1 71.4 + 6.3 65.3 70.0 4.7 66.7 69.8 3.1 147 122-25.0 110 85-25.0 105 83-22.0 98 86-12.0 20.5 16.8-3.7 20.1 15.4 - -4.7 20.2 16.4-3.8 17.8 14.9-2.9

Infs Total Listener METRO AREA Cape Town CT Fringe PE/Uit EL Dbn PMB Kimberley Bloem Vaal Gtr JHB Soweto Reef Pta emalahleni EMPLOYMENT Employed Unemployed N.CAPE 7 Day Ave Mon-Fri Sat Sun Sep Nov Sep Nov Sep Nov Sep Nov 1506 1512 6 1159 1139-20 1082 1041-41 1142 1144 2 716 725 9 546 552 6 521 504-17 548 576 28 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 136 138 2.0 106 107 0.4 94 93-1.0 115 110-5.0 19.0 19.1 0.1 19.5 19.4-0.1 18.1 18.4 0.3 21.0 19.1-1.9. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 314 289-25.0 237 211-26.2 233 193-40.0 236 222-14.0 43.9 39.9-4.0 43.4 38.2-5.2 44.8 38.4 - -6.4 43.1 38.5-4.6 401 436 35.0 309 341 32.0 288 310 22.0 312 355 43.0 56.1 60.1 4.0 56.5 61.8 5.2 55.2 61.6 + 6.4 56.9 61.5 4.6

Infs Total Listener SEX MALE FEMALE FREE STATE 7 Day Ave Mon-Fri Sat Sun Sep Nov Sep Nov Sep Nov Sep Nov 2075 2114 39 1679 1697 18 1602 1619 17 1628 1655 27 1820 1848 28 1485 1514 29 1460 1447-13 1513 1517 4 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 892 917 25 724 742 18 713 707-6 728 750 22 49.0 49.6 0.6 48.7 49.0 0.3 48.9 48.8-0.1 48.1 49.5 1.4 928 932 4 761 772 10 746 740-6 785 767-18 51.0 50.4-0.6 51.3 51.0-0.3 51.1 51.2 0.1 51.9 50.5-1.4 AGE 15-24 25-34 35-49 50+ 493 477-16.0 391 374-17.6 402 375-27.0 419 394-25.0 27.1 25.8-1.3 26.4 24.7-1.7 27.5 26.0-1.5 27.7 26.0-1.7 406 420 14.0 337 347 10.6 322 337 15.0 327 353 26.0 22.3 22.7 0.4 22.7 22.9 0.3 22.1 23.3 1.2 21.6 23.3 1.7 437 443 6.0 362 372 9.4 352 342-10.0 367 367 0.0 24.0 24.0 0.0 24.4 24.6 0.2 24.1 23.6-0.5 24.3 24.2-0.1 484 508 24.0 395 421 26.6 383 393 10.0 400 403 3.0 26.6 27.5 0.9 26.6 27.8 1.2 26.3 27.2 0.9 26.4 26.5 0.1 POP GROUP BLACKS COLOUREDS INDIANS WHITES COMMUNITY LARGE URBAN SMALL URBAN/ RURAL LSM LSM 1-4 LSM 5-7 LSM 8-10 1572 1601 29.0 1291 1322 30.4 1281 1263-18.0 1348 1342-6.0 86.4 86.6 0.2 86.9 87.3 0.3 87.8 87.3-0.5 89.1 88.5-0.6 62 61-1.0 42 46 4.0 41 43 2.0 42 47 5.0 3.4 3.3-0.1 2.8 3.0 0.2 2.8 3.0 0.2 2.8 3.1 0.3 1 1 0.0 1 0-0.8 1 0-1.0 1 0-1.0 0.1 0.0-0.1 0.1 0.0-0.1 0.1 0.0-0.1 0.1 0.0-0.1 185 185 0.0 151 147-4.6 136 140 4.0 122 128 6.0 10.2 10.0-0.2 10.2 9.7-0.5 9.3 9.7 0.4 8.1 8.4 0.3 882 898 16.0 717 719 2.4 703 685-18.0 735 711-24.0 48.5 48.6 0.1 48.3 47.5-0.8 48.1 47.4-0.7 48.6 46.9-1.7 938 950 12.0 769 795 26.6 757 762 5.0 778 806 28.0 51.5 51.4-0.1 51.8 52.5 0.8 51.9 52.6 0.7 51.4 53.1 1.7 278 259-19.0 232 220-11.8 237 196-41.0 236 215-21.0 15.3 14.0-1.3 15.6 14.5-1.1 16.2 13.5-2.7 15.6 14.2-1.4 1221 1247 26.0 999 1017 17.8 982 998 16.0 1032 1046 14.0 67.1 67.5 0.4 67.3 67.1-0.1 67.3 69.0 1.7 68.2 69.0 0.8 321 343 22.0 254 277 23.0 241 253 12.0 246 256 10.0 17.7 18.5 0.8 17.1 18.3 1.2 16.5 17.5 1.0 16.2 16.9 0.7

Infs Total Listener METRO AREA Cape Town CT Fringe PE/Uit EL Dbn PMB Kimberley Bloem Vaal Gtr JHB Soweto Reef Pta emalahleni EMPLOYMENT Employed Unemployed FREE STATE 7 Day Ave Mon-Fri Sat Sun Sep Nov Sep Nov Sep Nov Sep Nov 2075 2114 39 1679 1697 18 1602 1619 17 1628 1655 27 1820 1848 28 1485 1514 29 1460 1447-13 1513 1517 4 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 333 339 6.0 265 273 7.6 250 256 6.0 268 267-1.0 18.3 18.4 0.1 17.9 18.0 0.2 17.2 17.7 0.5 17.7 17.6-0.1 71 75 4.0 56 58 2.2 58 59 1.0 59 65 6.0 3.9 4.1 0.2 3.8 3.8 0.1 4.0 4.1 0.1 3.9 4.3 0.4. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 729 775 46.0 602 649 47.0 576 615 39.0 596 651 55.0 40.1 42.0 1.9 40.5 42.9 2.3 39.5 42.5 3.0 39.4 42.9 3.5 1091 1073-18.0 883 865-18.4 884 832-52.0 917 866-51.0 59.9 58.0-1.9 59.5 57.1-2.4 60.5 57.5-3.0 60.6 57.1-3.5

Infs Total Listener SEX MALE FEMALE KWAZ/NAT 7 Day Ave Mon-Fri Sat Sun Sep Nov Sep Nov Sep Nov Sep Nov 5077 5141 64 3795 3836 41 3338 3352 14 3083 3193 110 6241 6520 279 4603 4771 169 4176 4292 116 4109 4420 311 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 2908 3043 135 2138 2215 77 1964 2015 51 1864 2026 162 46.6 46.7 0.1 46.5 46.4 0.0 47.0 46.9-0.1 45.4 45.8 0.4 3333 3477 144 2464 2556 92 2212 2277 65 2245 2393 148 53.4 53.3-0.1 53.5 53.6 0.0 53.0 53.1 0.1 54.6 54.2-0.4 AGE 15-24 25-34 35-49 50+ 1821 1861 40.0 1296 1323 26.2 1205 1271 66.0 1233 1254 21.0 29.2 28.5-0.7 28.2 27.7-0.4 28.9 29.6 0.7 30.0 28.4-1.6 1570 1630 60.0 1175 1212 37.4 1056 1093 37.0 1034 1159 125.0 25.2 25.0-0.2 25.5 25.4-0.1 25.3 25.5 0.2 25.2 26.2 1.0 1365 1429 64.0 1029 1042 13.0 913 902-11.0 892 939 47.0 21.9 21.9 0.0 22.4 21.8-0.5 21.9 21.0-0.9 21.7 21.2-0.5 1485 1600 115.0 1102 1195 92.8 1003 1027 24.0 949 1068 119.0 23.8 24.5 0.7 23.9 25.0 1.1 24.0 23.9-0.1 23.1 24.2 1.1 POP GROUP BLACKS COLOUREDS INDIANS WHITES COMMUNITY LARGE URBAN SMALL URBAN/ RURAL LSM LSM 1-4 LSM 5-7 LSM 8-10 5419 5644 225.0 3970 4101 131.0 3641 3737 96.0 3656 3925 269.0 86.8 86.6-0.2 86.3 86.0-0.3 87.2 87.1-0.1 89.0 88.8-0.2 78 92 14.0 55 69 13.6 49 60 11.0 41 54 13.0 1.3 1.4 0.1 1.2 1.4 0.2 1.2 1.4 0.2 1.0 1.2 0.2 476 485 9.0 365 375 10.0 327 325-2.0 273 284 11.0 7.6 7.4-0.2 7.9 7.9-0.1 7.8 7.6-0.2 6.6 6.4-0.2 268 298 30.0 211 226 14.8 159 171 12.0 139 157 18.0 4.3 4.6 0.3 4.6 4.7 0.1 3.8 4.0 0.2 3.4 3.6 0.2 2431 2547 116.0 1784 1877 93.4 1561 1705 144.0 1515 1666 151.0 39.0 39.1 0.1 38.8 39.3 0.6 37.4 39.7 2.3 36.9 37.7 0.8 3810 3972 162.0 2819 2894 75.2 2616 2587-29.0 2595 2754 159.0 61.0 60.9-0.1 61.2 60.6-0.6 62.6 60.3-2.3 63.1 62.3-0.8 2154 2447 293.0 1624 1809 184.2 1535 1584 49.0 1512 1698 186.0 34.5 37.5 + 3.0 35.3 37.9 2.6 36.7 36.9 0.2 36.8 38.4 1.6 2784 2681-103.0 2017 1934-82.8 1844 1835-9.0 1856 1864 8.0 44.6 41.1 - -3.5 43.8 40.5 - -3.3 44.2 42.8-1.4 45.2 42.2-3.0 1303 1392 89.0 961 1029 67.8 797 873 76.0 741 858 117.0 20.9 21.3 0.4 20.9 21.6 0.7 19.1 20.3 1.2 18.0 19.4 1.4

Infs Total Listener METRO AREA Cape Town CT Fringe PE/Uit EL Dbn PMB Kimberley Bloem Vaal Gtr JHB Soweto Reef Pta emalahleni EMPLOYMENT Employed Unemployed KWAZ/NAT 7 Day Ave Mon-Fri Sat Sun Sep Nov Sep Nov Sep Nov Sep Nov 5077 5141 64 3795 3836 41 3338 3352 14 3083 3193 110 6241 6520 279 4603 4771 169 4176 4292 116 4109 4420 311 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1744 1821 77.0 1266 1329 63.8 1103 1212 109.0 1065 1185 120.0 27.9 27.9 0.0 27.5 27.9 0.4 26.4 28.2 1.8 25.9 26.8 0.9 304 317 13.0 228 239 11.2 205 223 18.0 190 193 3.0 4.9 4.9 0.0 4.9 5.0 0.1 4.9 5.2 0.3 4.6 4.4-0.2. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2611 2775 164.0 1920 2016 96.0 1676 1776 100.0 1642 1821 179.0 41.8 42.6 0.8 41.7 42.3 0.5 40.1 41.4 1.3 40.0 41.2 1.2 3630 3745 115.0 2682 2756 73.2 2500 2516 16.0 2467 2598 131.0 58.2 57.4-0.8 58.3 57.8-0.5 59.9 58.6-1.3 60.0 58.8-1.2

Infs Total Listener SEX MALE FEMALE MPUM. 7 Day Ave Mon-Fri Sat Sun Sep Nov Sep Nov Sep Nov Sep Nov 1734 1685-49 1281 1285 4 1230 1213-17 1117 1157 40 2712 2746 34 1976 2069 93 1947 1962 15 1764 1867 103 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 1306 1325 19 948 996 48 958 952-6 815 914 99 48.2 48.3 0.1 48.0 48.1 0.2 49.2 48.5-0.7 46.2 49.0 2.8 1406 1421 15 1028 1073 45 990 1010 20 949 953 4 51.8 51.7-0.1 52.0 51.9-0.2 50.8 51.5 0.7 53.8 51.0-2.8 AGE 15-24 25-34 35-49 50+ 749 747-2.0 532 563 30.4 523 535 12.0 494 526 32.0 27.6 27.2-0.4 26.9 27.2 0.3 26.8 27.3 0.5 28.0 28.2 0.2 699 708 9.0 525 529 4.0 502 510 8.0 464 460-4.0 25.8 25.8 0.0 26.6 25.6-1.0 25.8 26.0 0.2 26.3 24.6-1.7 643 650 7.0 468 519 50.8 479 476-3.0 426 449 23.0 23.7 23.7 0.0 23.7 25.1 1.4 24.6 24.3-0.3 24.1 24.0-0.1 622 640 18.0 451 459 8.4 443 441-2.0 381 432 51.0 22.9 23.3 0.4 22.8 22.2-0.6 22.8 22.5-0.3 21.6 23.2 1.6 POP GROUP BLACKS COLOUREDS INDIANS WHITES COMMUNITY LARGE URBAN SMALL URBAN/ RURAL LSM LSM 1-4 LSM 5-7 LSM 8-10 2390 2394 4.0 1732 1806 74.0 1765 1738-27.0 1597 1688 91.0 88.1 87.2-0.9 87.6 87.3-0.4 90.6 88.6-2.0 90.5 90.4-0.1 30 27-3.0 20 20-0.6 6 12 6.0 10 14 4.0 1.1 1.0-0.1 1.0 0.9-0.1 0.3 0.6 0.3 0.5 0.8 0.3 28 35 7.0 20 29 9.2 15 24 9.0 12 7-5.0 1.0 1.3 0.3 1.0 1.4 0.4 0.8 1.2 0.4 0.7 0.4-0.3 265 290 25.0 205 215 10.6 162 188 26.0 146 158 12.0 9.8 10.6 0.8 10.4 10.4 0.0 8.3 9.6 1.3 8.3 8.4 0.1 850 886 36.0 650 698 47.4 595 656 61.0 552 609 57.0 31.3 32.3 1.0 32.9 33.7 0.8 30.5 33.5 3.0 31.3 32.6 1.3 1862 1860-2.0 1326 1372 46.0 1353 1305-48.0 1212 1258 46.0 68.7 67.7-1.0 67.1 66.3-0.8 69.5 66.5-3.0 68.7 67.4-1.3 592 554-38.0 434 390-44.4 424 422-2.0 393 391-2.0 21.8 20.2-1.6 22.0 18.8-3.1 21.8 21.5-0.3 22.3 20.9-1.4 1632 1626-6.0 1186 1267 80.6 1220 1168-52.0 1092 1152 60.0 60.2 59.2-1.0 60.0 61.2 1.2 62.6 59.5-3.1 61.9 61.7-0.2 489 566 77.0 356 413 57.0 304 371 67.0 280 324 44.0 18.0 20.6 2.6 18.0 19.9 1.9 15.6 18.9 3.3 15.9 17.3 1.4

Infs Total Listener METRO AREA Cape Town CT Fringe PE/Uit EL Dbn PMB Kimberley Bloem Vaal Gtr JHB Soweto Reef Pta emalahleni EMPLOYMENT Employed Unemployed MPUM. 7 Day Ave Mon-Fri Sat Sun Sep Nov Sep Nov Sep Nov Sep Nov 1734 1685-49 1281 1285 4 1230 1213-17 1117 1157 40 2712 2746 34 1976 2069 93 1947 1962 15 1764 1867 103 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 207 215 8.0 164 174 10.4 132 164 32.0 125 148 23.0 7.6 7.8 0.2 8.3 8.4 0.1 6.8 8.3 1.5 7.1 7.9 0.8 1187 1292 105.0 853 962 109.2 851 908 57.0 736 860 124.0 43.8 47.0 3.2 43.2 46.5 3.3 43.7 46.3 2.6 41.7 46.1 4.4 1525 1454-71.0 1123 1107-15.8 1096 1054-42.0 1028 1006-22.0 56.2 53.0-3.2 56.8 53.5-3.3 56.3 53.7-2.6 58.3 53.9-4.4

Infs Total Listener SEX MALE FEMALE GAUTENG 7 Day Ave Mon-Fri Sat Sun Sep Nov Sep Nov Sep Nov Sep Nov 6810 6902 92 5038 5062 24 4608 4646 38 4536 4687 151 8483 9004 521 6322 6709 387 5777 6195 418 5874 6390 516 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 4239 4534 295 3145 3379 234 2884 3156 272 2928 3213 285 50.0 50.4 0.4 49.7 50.4 0.6 49.9 50.9 1.0 49.9 50.3 0.4 4244 4470 226 3178 3331 153 2893 3040 147 2945 3177 232 50.0 49.6-0.4 50.3 49.6-0.6 50.1 49.1-1.0 50.1 49.7-0.4 AGE 15-24 25-34 35-49 50+ 1601 1728 127.0 1160 1265 104.8 1100 1155 55.0 1079 1198 119.0 18.9 19.2 0.3 18.3 18.8 0.5 19.0 18.6-0.4 18.4 18.7 0.3 2398 2478 80.0 1788 1832 43.4 1605 1726 121.0 1669 1732 63.0 28.3 27.5-0.8 28.3 27.3-1.0 27.8 27.9 0.1 28.4 27.1-1.3 2458 2622 164.0 1839 1951 111.2 1705 1816 111.0 1728 1873 145.0 29.0 29.1 0.1 29.1 29.1 0.0 29.5 29.3-0.2 29.4 29.3-0.1 2026 2176 150.0 1535 1662 127.2 1367 1499 132.0 1397 1588 191.0 23.9 24.2 0.3 24.3 24.8 0.5 23.7 24.2 0.5 23.8 24.8 1.0 POP GROUP BLACKS COLOUREDS INDIANS WHITES COMMUNITY LARGE URBAN SMALL URBAN/ RURAL LSM LSM 1-4 LSM 5-7 LSM 8-10 6583 7078 495.0 4889 5265 375.6 4544 4961 417.0 4803 5293 490.0 77.6 78.6 1.0 77.3 78.5 1.1 78.7 80.1 1.4 81.8 82.8 1.0 293 299 6.0 207 210 3.2 200 206 6.0 204 218 14.0 3.5 3.3-0.2 3.3 3.1-0.1 3.5 3.3-0.2 3.5 3.4-0.1 255 251-4.0 186 177-8.8 163 160-3.0 144 130-14.0 3.0 2.8-0.2 2.9 2.6-0.3 2.8 2.6-0.2 2.5 2.0-0.5 1351 1376 25.0 1041 1057 15.8 871 869-2.0 722 749 27.0 15.9 15.3-0.6 16.5 15.8-0.7 15.1 14.0-1.1 12.3 11.7-0.6 8088 8565 477.0 6016 6353 337.6 5477 5872 395.0 5578 6068 490.0 95.3 95.1-0.2 95.2 94.7-0.5 94.8 94.8 0.0 95.0 95.0 0.0 395 439 44.0 307 356 49.2 300 323 23.0 296 322 26.0 4.7 4.9 0.2 4.9 5.3 0.5 5.2 5.2 0.0 5.0 5.0 0.0 367 468 101.0 298 367 69.6 277 350 73.0 296 338 42.0 4.3 5.2 0.9 4.7 5.5 0.8 4.8 5.6 0.8 5.0 5.3 0.3 4644 4976 332.0 3458 3718 260.0 3235 3509 274.0 3425 3713 288.0 54.8 55.3 0.5 54.7 55.4 0.7 56.0 56.6 0.6 58.3 58.1-0.2 3471 3559 88.0 2567 2624 57.4 2265 2336 71.0 2152 2339 187.0 40.9 39.5-1.4 40.6 39.1-1.5 39.2 37.7-1.5 36.6 36.6 0.0

Infs Total Listener METRO AREA Cape Town CT Fringe PE/Uit EL Dbn PMB Kimberley Bloem Vaal Gtr JHB Soweto Reef Pta emalahleni EMPLOYMENT Employed Unemployed GAUTENG 7 Day Ave Mon-Fri Sat Sun Sep Nov Sep Nov Sep Nov Sep Nov 6810 6902 92 5038 5062 24 4608 4646 38 4536 4687 151 8483 9004 521 6322 6709 387 5777 6195 418 5874 6390 516 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 703 746 43.0 567 601 34.0 509 546 37.0 569 628 59.0 8.3 8.3 0.0 9.0 9.0 0.0 8.8 8.8 0.0 9.7 9.8 0.1 2344 2407 63.0 1659 1671 11.4 1574 1587 13.0 1608 1656 48.0 27.6 26.7-0.9 26.2 24.9-1.3 27.2 25.6-1.6 27.4 25.9-1.5 856 887 31.0 566 583 17.0 554 569 15.0 617 647 30.0 10.1 9.8-0.3 9.0 8.7-0.3 9.6 9.2-0.4 10.5 10.1-0.4 3521 3754 233.0 2674 2877 202.8 2397 2635 238.0 2398 2651 253.0 41.5 41.7 0.2 42.3 42.9 0.6 41.5 42.5 1.0 40.8 41.5 0.7 1604 1746 142.0 1181 1270 89.0 1055 1168 113.0 1059 1196 137.0 18.9 19.4 0.5 18.7 18.9 0.2 18.3 18.8 0.5 18.0 18.7 0.7. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 4737 5048 311.0 3490 3725 235.8 3200 3453 253.0 3210 3535 325.0 55.8 56.1 0.3 55.2 55.5 0.3 55.4 55.7 0.3 54.7 55.3 0.6 3745 3956 211.0 2833 2984 150.6 2577 2743 166.0 2663 2855 192.0 44.2 43.9-0.3 44.8 44.5-0.3 44.6 44.3-0.3 45.3 44.7-0.6

Infs Total Listener SEX MALE FEMALE N.WEST 7 Day Ave Mon-Fri Sat Sun Sep Nov Sep Nov Sep Nov Sep Nov 1593 1520-73 1255 1153-102 1194 1091-103 1198 1111-87 2267 2326 59 1793 1753-40 1728 1691-37 1728 1767 39 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 1156 1191 35 906 878-29 881 852-29 885 882-3 51.0 51.2 0.2 50.5 50.1-0.5 51.0 50.4-0.6 51.2 49.9-1.3 1111 1134 23 887 875-12 846 839-7 843 885 42 49.0 48.8-0.2 49.4 49.9 0.5 49.0 49.6 0.6 48.8 50.1 1.3 AGE 15-24 25-34 35-49 50+ 525 525 0.0 411 376-35.4 394 386-8.0 396 426 30.0 23.2 22.6-0.6 22.9 21.5-1.5 22.8 22.8 0.0 22.9 24.1 1.2 544 566 22.0 429 429 0.2 424 433 9.0 430 440 10.0 24.0 24.3 0.3 23.9 24.5 0.6 24.5 25.6 1.1 24.9 24.9 0.0 593 610 17.0 476 475-1.4 451 435-16.0 448 457 9.0 26.1 26.2 0.1 26.5 27.1 0.5 26.1 25.7-0.4 25.9 25.9 0.0 605 625 20.0 477 472-4.6 459 438-21.0 455 444-11.0 26.7 26.9 0.2 26.6 27.0 0.4 26.6 25.9-0.7 26.3 25.1-1.2 POP GROUP BLACKS COLOUREDS INDIANS WHITES COMMUNITY LARGE URBAN SMALL URBAN/ RURAL LSM LSM 1-4 LSM 5-7 LSM 8-10 2018 2081 63.0 1599 1565-34.4 1551 1521-30.0 1566 1615 49.0 89.0 89.5 0.5 89.2 89.3 0.1 89.8 89.9 0.1 90.6 91.4 0.8 44 41-3.0 33 29-3.8 35 34-1.0 33 38 5.0 1.9 1.8-0.1 1.8 1.6-0.2 2.0 2.0 0.0 1.9 2.2 0.3 18 15-3.0 14 8-6.0 14 8-6.0 10 6-4.0 0.8 0.6-0.2 0.8 0.5-0.3 0.8 0.5-0.3 0.6 0.3-0.3 187 189 2.0 147 151 3.4 128 128 0.0 119 109-10.0 8.3 8.1-0.2 8.2 8.6 0.4 7.4 7.6 0.2 6.9 6.1-0.8 602 619 17.0 465 462-3.4 435 430-5.0 439 446 7.0 26.6 26.6 0.0 25.9 26.3 0.4 25.2 25.4 0.2 25.4 25.3-0.1 1665 1707 42.0 1329 1291-37.4 1293 1261-32.0 1289 1321 32.0 73.4 73.4 0.0 74.1 73.7-0.4 74.8 74.6-0.2 74.6 74.7 0.1 670 723 53.0 530 527-2.6 505 510 5.0 514 559 45.0 29.6 31.1 1.5 29.5 30.1 0.5 29.2 30.2 1.0 29.8 31.6 1.8 1329 1347 18.0 1063 1026-37.0 1032 1000-32.0 1026 1029 3.0 58.6 57.9-0.7 59.3 58.6-0.7 59.7 59.2-0.5 59.4 58.3-1.1 267 256-11.0 200 199-0.6 190 181-9.0 188 179-9.0 11.8 11.0-0.8 11.2 11.4 0.2 11.0 10.7-0.3 10.9 10.1-0.8

Infs Total Listener METRO AREA Cape Town CT Fringe PE/Uit EL Dbn PMB Kimberley Bloem Vaal Gtr JHB Soweto Reef Pta emalahleni EMPLOYMENT Employed Unemployed N.WEST 7 Day Ave Mon-Fri Sat Sun Sep Nov Sep Nov Sep Nov Sep Nov 1593 1520-73 1255 1153-102 1194 1091-103 1198 1111-87 2267 2326 59 1793 1753-40 1728 1691-37 1728 1767 39 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0. 0. 0. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 922 927 5.0 731 684-46.4 712 656-56.0 699 663-36.0 40.7 39.8-0.9 40.8 39.0-1.7 41.2 38.8-2.4 40.4 37.5-2.9 1345 1399 54.0 1062 1068 5.8 1016 1035 19.0 1029 1104 75.0 59.3 60.2 0.9 59.2 60.9 1.7 58.8 61.2 2.4 59.6 62.5 2.9

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE APPENDIX 3 Nielsen s Detailed Investigations Western Cape Eastern Cape Limpopo

ANALYSIS OF WESTERN CAPE TOTAL LISTENING

Copyright 2012 The Nielsen Company. Confidential and proprietary. INCIDENCE OF LISTENING IN WESTERN CAPE 100 Impact areas: CTown + Rural 80 60 % 40 20 0 Past 7 Days Mon-Fri Sat Sun Sep-15 71.0 52.3 46.0 42.0 Nov-15 66.1 48.8 41.6 40.0 000 2 978 2 199 1 875 1 804 (3 143) (2 315) (2 038) (1 861) - 165-116 - 163-57

Copyright 2012 The Nielsen Company. Confidential and proprietary. STATION MOVEMENTS WESTERN CAPE STABLE DOWN Lotus (+ 8 000) Sig RSG (- 135 000) SAfm (+ 8 000) Kfm (- 76 000) Smile 90.4FM (+ 6 000) Heart 104.9 FM (- 37 000) Umhlobo Wenene FM (+ 5 000) CapeTalk (- 25 000) Radio 2000 (- 2 000) Total Commercial Radio (- 189 000) Metro FM (- 11 000) Sig Total Community Radio (- 60 000) Algoa FM (- 12 000) 5FM (- 15 000) Good Hope FM (- 16 000) Sig

Copyright 2012 The Nielsen Company. Confidential and proprietary. DEMOGRAPHIC PROFILE WESTERN CAPE LISTENERS Blacks Coloureds Indians Whites 15 24 25 34 35 49 50 + Male Female Sep 15 31.5 47.9 0.6 20.0 18.8 24.7 28.9 27.5 48.0 52.0 Nov 15 33.0 46.5 1.0 19.5 18.9 24.7 28.8 27.6 48.4 51.6

Copyright 2012 The Nielsen Company. Confidential and proprietary. SAMPLE SIZES WESTERN CAPE Primary Respondents Flooded Respondents Total Sample Flooding Ratio Sep 15 1 697 3 186 4 883 2.88 Nov 15 1 645 2 891 4 536 2.76-52 - 295-347 Comparable

Copyright 2012 The Nielsen Company. Confidential and proprietary. TIME SPENT LISTENING PER DAY WESTERN CAPE + 6 mins 2h50 2h56 Sep 15 Nov 15

Copyright 2012 The Nielsen Company. Confidential and proprietary. 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 RADIO LISTENING BY ¼ HOUR WESTERN CAPE 50% Sep-15 AVE MON-FRI Nov-15 40% 30% 20% 10% 0%

Copyright 2012 The Nielsen Company. Confidential and proprietary. 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 RADIO LISTENING BY ¼ HOUR WESTERN CAPE 50% Sep-15 AVE SATURDAY Nov-15 40% 30% 20% 10% 0%

Copyright 2012 The Nielsen Company. Confidential and proprietary. 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 RADIO LISTENING BY ¼ HOUR WESTERN CAPE 50% Sep-15 AVE SUNDAY Nov-15 40% 30% 20% 10% 0%

Copyright 2012 The Nielsen Company. Confidential and proprietary. NUMBER OF STATIONS PER WEEK WESTERN CAPE 1.8 1.8 Sep 15 Nov 15

Copyright 2012 The Nielsen Company. Confidential and proprietary. NUMBER OF DAYS SPENT LISTENING PER WEEK WESTERN CAPE 4.9 4.9 Sep 15 Nov 15

TIME SPENT LISTENING IN WESTERN CAPE Total - Bok (2.4), 2.0 = 5FM (2.0), 2.0 + CCFM (1.3), 1.7 = Radio 786 (1.9), 2.1 = CapeTalk (2.2), 2.2 + Smile (0.9), 1.3 + West Coast (0.2), 1.0 = Tygerberg (2.8), 2.8 + Heartbeat (0.4), 1.0 - Zibonele (3.4), 2.9 + Eden (2.0), 3.3 + Umhlobo (22.4), 23.1 - Metro (4.8), 3.6 - Voice of the Cape (4.0), 3.7 + Other Cmrcl (4.0), 4.5 - Other Cmnty (5.9), 5.4 - RSG (13.3), 11.9 + Good Hope (6.5), 6.8 = Heart (9.3), 9.2 - Kfm (10.3), 9.5 % Gross ¼ hours : Ave. Mon-Fri (Sep 15) vs Nov 15

Copyright 2012 The Nielsen Company. Confidential and proprietary. ANALYSIS WESTERN CAPE Listening is significantly down for 7 Days, Mon-Fri and Sat Impact areas are Cape Town and Rural Commercial listening has declined significantly Nielsen phone-backs verified non-listener claims Demographic profiles of listeners are comparable samples are representative Flooded ratio is comparable : 2.76 Repertoires are stable : 1.8 stations Listening days remain at 4.9

Copyright 2012 The Nielsen Company. Confidential and proprietary. ANALYSIS WESTERN CAPE Time Spent Listening has grown by 6 minutes ¼ Hour listening curve follows the national pattern, with slightly lower early morning and early afternoon levels, with same day shape Possible seasonal impact of Jan-Jun Rural sample Wave 2 was a low period for Cape Town it is again part of this release

ANALYSIS OF EASTERN CAPE RURAL LISTENING

Copyright 2012 The Nielsen Company. Confidential and proprietary. INCIDENCE OF LISTENING IN EASTERN CAPE RURAL 100 80 60 % 40 20 0 Past 7 Days Mon-Fri Sat Sun Sep-15 80.9 59.6 58.6 58.4 Nov-15 75.3 55.1 52.4 58.3 000 2 333 1 707 1 623 1 804 (2 489) (1 834) (1 803) (1 798) - 156-127 - 180 + 6

Copyright 2012 The Nielsen Company. Confidential and proprietary. STATION MOVEMENTS EASTERN CAPE RURAL UP STABLE DOWN Lesedi FM (+ 66 000) RSG (+ 4 000) Ukhozi FM (+ 4 000) Algoa FM (+ 1 000) trufm (- 3 000) Sig Sig Sig Umhlobo Wenene FM (- 179 000) Total Commercial Radio (- 124 000) Total Community Radio (- 188 000)

Copyright 2012 The Nielsen Company. Confidential and proprietary. DEMOGRAPHIC PROFILE EASTERN CAPE RURAL LISTENERS Blacks Coloureds Indians Whites 15 24 25 34 35 49 50 + Male Female Sep 15 93.3 4.4 0.0 2.3 32.0 18.7 18.8 30.5 45.3 54.7 Nov 15 92.5 5.0 0.0 2.5 29.9 19.5 17.3 33.3 44.7 55.3

Copyright 2012 The Nielsen Company. Confidential and proprietary. SAMPLE SIZES EASTERN CAPE RURAL Primary Respondents Flooded Respondents Total Sample Flooding Ratio Sep 15 611 884 1 495 2.45 Nov 15 609 880 1 489 2.44-2 - 4-6 Same

Copyright 2012 The Nielsen Company. Confidential and proprietary. TIME SPENT LISTENING PER DAY EASTERN CAPE RURAL + 4 mins 2h53 2h57 Sep 15 Nov 15

Copyright 2012 The Nielsen Company. Confidential and proprietary. 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 50% RADIO LISTENING BY ¼ HOUR EASTERN CAPE RURAL AVE MON-FRI Sep-15 Nov-15 40% 30% 20% 10% 0%

Copyright 2012 The Nielsen Company. Confidential and proprietary. 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 50% RADIO LISTENING BY ¼ HOUR EASTERN CAPE RURAL AVE SATURDAY Sep-15 Nov-15 40% 30% 20% 10% 0%

Copyright 2012 The Nielsen Company. Confidential and proprietary. 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 50% RADIO LISTENING BY ¼ HOUR EASTERN CAPE RURAL AVE SUNDAY Sep-15 Nov-15 40% 30% 20% 10% 0%

Copyright 2012 The Nielsen Company. Confidential and proprietary. NUMBER OF STATIONS PER WEEK EASTERN CAPE RURAL 1.7 1.7 Sep 15 Nov 15

Copyright 2012 The Nielsen Company. Confidential and proprietary. NUMBER OF DAYS SPENT LISTENING PER WEEK EASTERN CAPE RURAL 5.1 5.1 Sep 15 Nov 15

TIME SPENT LISTENING IN EASTERN CAPE RURAL = Algoa FM (2.6), 2.6 - Alfred Nzo (4.6), 2.8 - RSG (3.6), 2.9 + Forte (1.6), 2.1 + Lesedi (1.3), 1.6 - trufm (2.5), 1.6 - Unitra (1.7), 1.4 - Vukani (1.7), 1.2 - Other Cmnty (5.6), 3.3 = Other Cmrcl (4.3), 4.1 + Ukhozi (4.3), 4.9 + Umhlobo (66.2), 71.5 % Gross ¼ hours : Ave. Mon-Fri (Sep 15) vs Nov 15

Copyright 2012 The Nielsen Company. Confidential and proprietary. ANALYSIS EASTERN CAPE RURAL Listening is significantly down for 7 Days and Sat Mon-Fri is also down, Sun listening is stable Both Commercial and Community listening is down significantly Nielsen phone-backs verified non-listener claims Demographic profiles of listeners are comparable even with new Rural sample Flooded ratio is identical : 2.44 Repertoires are identical : 1.7 stations Listening days are unchanged at 5.1

Copyright 2012 The Nielsen Company. Confidential and proprietary. ANALYSIS EASTERN CAPE RURAL Time Spent Listening is up by 4 minutes ¼ Hour listening curve is almost identical to the previous Rural curve, with Sunday having higher late morning levels Possible seasonal impact of Jan-Jun Rural sample ECape Commercial Radio has high loyalty and exclusivity loss in a dominant station would result in a smaller pool of listeners Feud over Mandela s Qunu Estate; New King of the Xhosa nation sworn in at Nqadu Great Place

ANALYSIS OF LIMPOPO RURAL LISTENING

Copyright 2012 The Nielsen Company. Confidential and proprietary. INCIDENCE OF LISTENING IN LIMPOPO RURAL 100 80 60 % 40 20 0 Past 7 Days Mon-Fri Sat Sun Sep-15 90.0 65.9 68.3 66.5 Nov-15 80.9 59.7 60.0 60.8 000 2 827 2 086 2 095 2 122 (3 162) (2 318) (2 400) (2 337) - 335-232 - 305-215

Copyright 2012 The Nielsen Company. Confidential and proprietary. STATION MOVEMENTS LIMPOPO RURAL UP STABLE DOWN Capricorn FM (+ 46 000) Radio 2000 (+ 37 000) ikwekwezi FM (+ 22 000) Ukhozi FM (+ 14 000) Munghana Lonene FM (- 207 000) Metro FM (- 25 000) Thobela FM (- 193 000) Sig Sig Sig Sig Sig Sig Jacaranda FM (- 149 000) Motsweding FM (- 109 000) Phalaphala FM (- 98 000) 5FM (- 55 000) Total Commercial Radio (- 299 000) Total Community Radio (- 301 000)

Copyright 2012 The Nielsen Company. Confidential and proprietary. DEMOGRAPHIC PROFILE LIMPOPO RURAL LISTENERS Blacks Coloureds Indians Whites 15 24 25 34 35 49 50 + Male Female Sep 15 96.9 0.1 0.4 2.6 31.9 21.5 21.0 25.7 46.2 53.8 Nov 15 97.5 0.0 0.1 2.5 32.2 21.6 21.3 25.0 45.2 54.8

Copyright 2012 The Nielsen Company. Confidential and proprietary. SAMPLE SIZES LIMPOPO RURAL Primary Respondents Flooded Respondents Total Sample Flooding Ratio Sep 15 601 921 1 522 2.53 Nov 15 591 926 1 517 2.57-10 + 5-5 Very Similar

Copyright 2012 The Nielsen Company. Confidential and proprietary. TIME SPENT LISTENING PER DAY LIMPOPO RURAL - 43 mins 3h58 3h15 Sep 15 Nov 15

Copyright 2012 The Nielsen Company. Confidential and proprietary. 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 50% RADIO LISTENING BY ¼ HOUR LIMPOPO RURAL AVE MON-FRI Sep-15 Nov-15 40% 30% 20% 10% 0%

Copyright 2012 The Nielsen Company. Confidential and proprietary. 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 50% RADIO LISTENING BY ¼ HOUR LIMPOPO RURAL AVE SATURDAY Sep-15 Nov-15 40% 30% 20% 10% 0%

Copyright 2012 The Nielsen Company. Confidential and proprietary. 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 50% RADIO LISTENING BY ¼ HOUR LIMPOPO RURAL AVE SUNDAY Sep-15 Nov-15 40% 30% 20% 10% 0%

Copyright 2012 The Nielsen Company. Confidential and proprietary. NUMBER OF STATIONS PER WEEK LIMPOPO RURAL 1.9 1.7 Sep 15 Nov 15

Copyright 2012 The Nielsen Company. Confidential and proprietary. NUMBER OF DAYS SPENT LISTENING PER WEEK LIMPOPO RURAL 5.2 5.2 Sep 15 Nov 15

TIME SPENT LISTENING IN LIMPOPO RURAL - Jac (4.2), 3.3 - Other Cmrcl (5.1), 3.5 - Metro (2.5), 2.2 + Botlokwa (0.1), 1.7 - GCR FM (2.5), 1.1 + Tubatse (0.6), 1.0 + ikwekwezi (1.7), 3.5 - Other Cmnty (11.8), 7.3 + Capricorn (5.9), 9.5 - Thobela (39.9), 38.9 + Munghana (11.2), 12.8 + Phalaphala (14.5), 15.2 % Gross ¼ hours : Ave. Mon-Fri (Sep 15) vs Nov 15

Copyright 2012 The Nielsen Company. Confidential and proprietary. ANALYSIS LIMPOPO RURAL Listening is significantly down across the week Both Commercial and Community listening is down significantly across a number of stations Nielsen phone-backs verified non-listener claims Demographic profiles of listeners are almost identical with new Rural sample Flooded ratio is almost identical : 2.57 Repertoires are down : 1.7 stations Listening days are unchanged at 5.2

Copyright 2012 The Nielsen Company. Confidential and proprietary. ANALYSIS LIMPOPO RURAL Time Spent Listening is substantially down by 43 minutes ¼ Hour listening curve is at a lower level across the day but keeps the same day shape Possible impact of very eventful fieldwork period : Strike action at various Platinum mines; Municipal action; Malamulele municipal unrest/closure of trading operations; Lead up to Julius Malema court case; ANC by-elections; Ongoing worker problems at Medupi Power Station; ANC recalls two mayors from Mogalakweni and Blouberg. A number of high loyalty stations have declined loss in a dominant station would result in a smaller pool of listeners

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE APPENDIX 4 Non-Listener Analyses by demographics for National Northern Cape Free State KwaZulu-Natal Mpumalanga Gauteng North-West

NON-LISTENER ANALYSIS NATIONAL N.CAPE FREE STATE KWAZ/NAT MPUM. GAUTENG N.WEST Sep Nov Diff Sep Nov Diff Sep Nov Diff Sep Nov Diff Sep Nov Diff Sep Nov Diff Sep Nov Diff INFS 5083 4933-150 136 122-14 194 179-15 1065 779-286 103 112 9 921 820-101 168 164-4 Total 5312 5588 276 59 63 4 146 124-22 887 658-229 158 177 19 1241 1056-185 257 228-29 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 SEX MALE 2611 2726 115 26 32 6 81 62-19 422 316-106 71 77 6 644 529-115 141 120-21 49.1 48.8-0.3 44 51.1 7.1 55.5 50.3-5.2 47.6 48 0.4 44.9 43.5-1.4 51.9 50.1-1.8 54.9 52.6-2.3 FEMALE 2701 2862 161 33 31-2 65 62-3 464 342-122 87 100 13 597 527-70 116 108-8 50.9 51.2 0.3 56 48.9-7.1 44.5 49.7 5.2 52.4 52-0.4 55.1 56.5 1.4 48.1 49.9 1.8 45.1 47.4 2.3 AGE 15-24 1404 1473 69 21 11-10 37 44 7 252 181-71 51 52 1 296 254-42 77 73-4 26.4 26.4 0 34.8 17.3-17.5 25.5 36 10.5 28.4 27.5-0.9 32.5 29.7-2.8 23.8 24 0.2 29.8 31.8 2 25-34 1252 1258 6 11 15 4 45 33-12 187 145-42 36 38 2 323 268-55 64 45-19 23.6 22.5-1.1 19.2 23.7 4.5 31.1 26.6-4.5 21.1 22 0.9 23 21.2-1.8 26 25.3-0.7 24.8 19.8-5 35-49 1216 1297 81 12 13 1 28 23-5 198 147-51 31 34 3 308 263-45 54 46-8 22.9 23.2 0.3 19.4 21.3 1.9 19.4 18.9-0.5 22.3 22.3 0 19.5 19-0.5 24.8 24.9 0.1 21.2 20.1-1.1 50+ 1440 1560 120 16 24 8 35 23-12 250 185-65 40 53 13 314 272-42 62 64 2 27.1 27.9 0.8 26.6 37.6 11 24 18.5-5.5 28.2 28.2 0 25 30.1 5.1 25.3 25.7 0.4 24.2 28.2 4 POP GROUP BLACKS 3680 3827 147 22 17-5 114 90-24 641 474-167 130 155 25 991 810-181 222 184-38 69.3 68.5-0.8 37.1 26.7-10.4 78 73.1-4.9 72.2 72-0.2 82.3 87.7 5.4 79.9 76.7-3.2 86.5 80.6-5.9 COLOUREDS 856 988 132 33 38 5 8 11 3 29 16-13 3 4 1 32 33 1 3 7 4 16.1 17.7 1.6 55.5 60.6 5.1 5.3 8.7 3.4 3.3 2.4-0.9 2.1 2.4 0.3 2.6 3.1 0.5 1.3 3 1.7 INDIANS 196 200 4 2 1-1 2 1-1 117 102-15 2 3 1 32 52 20 5 10 5 3.7 3.6-0.1 2.9 1.7-1.2 1.1 0.9-0.2 13.1 15.5 2.4 1.3 1.7 0.4 2.6 5 2.4 1.8 4.6 2.8 WHITES 581 573-8 3 7 4 23 21-2 101 67-34 23 14-9 186 161-25 27 27 0 10.9 10.3-0.6 4.5 11 6.5 15.6 17.3 1.7 11.4 10.1-1.3 14.3 8.2-6.1 15 15.2 0.2 10.3 11.8 1.5 COMMUNITY LARGE URBAN 3227 3059-168 13 12-1 84 74-10 461 363-98 60 73 13 1178 1035-143 80 72-8 60.7 54.7 - -6 22.7 19.8-2.9 57.7 60.2 2.5 52 55.2 3.2 38 41.4 3.4 95 98 3 31.2 31.5 0.3 SMALL URBAN/ RURAL 2085 2528 443 46 50 4 62 49-13 426 295-131 98 104 6 62 22-40 177 156-21 39.3 45.3 + 6 77.3 80.2 2.9 42.3 39.8-2.5 48 44.8-3.2 62 58.6-3.4 5 2-3 68.8 68.5-0.3

NON-LISTENER ANALYSIS NATIONAL N.CAPE FREE STATE KWAZ/NAT MPUM. GAUTENG N.WEST Sep Nov Diff Sep Nov Diff Sep Nov Diff Sep Nov Diff Sep Nov Diff Sep Nov Diff Sep Nov Diff INFS 5083 4933-150 136 122-14 194 179-15 1065 779-286 103 112 9 921 820-101 168 164-4 Total 5312 5588 276 59 63 4 146 124-22 887 658-229 158 177 19 1241 1056-185 257 228-29 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 METRO AREA Cape Town 728 852 124 13.7 15.2 1.5 CT Fringe 163 147-16 3.1 2.6-0.5 PE/Uit 224 229 5 4.2 4.1-0.1 EL 42 36-6 0.8 0.6-0.2 Dbn 352 289-63 352 289-63 6.6 5.2 - -1.4 39.6 43.9 4.3 PMB 43 33-1 0 43 33-1 0 0.8 0.6-0.2 4.8 5 0.2 Kimberley 9 9 0 9 9 0 0.2 0.2 0 15.1 14.6-0.5 Bloem 34 32-2 34 32-2 0.6 0.6 0 23.2 25.6 2.4 Vaal 92 72-2 0 10 7-3 82 65-17 1.7 1.3-0.4 6.6 5.4-1.2 6.6 6.2-0.4 Gtr JHB 285 314 29 285 314 29 5.4 5.6 0.2 23 29.7 6.7 Soweto 188 196 8 188 196 8 3.5 3.5 0 15.1 18.6 3.5 Reef 459 368-91 459 368-91 8.6 6.6 - -2 37 34.8-2.2 Pta 365 293-72 365 293-72 6.9 5.2 - -1.7 29.4 27.8-1.6 emalahleni 13 12-1 13 12-1 0.3 0.2-0.1 8.4 7-1.4

NON-LISTENER ANALYSIS NATIONAL N.CAPE FREE STATE KWAZ/NAT MPUM. GAUTENG N.WEST Sep Nov Diff Sep Nov Diff Sep Nov Diff Sep Nov Diff Sep Nov Diff Sep Nov Diff Sep Nov Diff INFS 5083 4933-150 136 122-14 194 179-15 1065 779-286 103 112 9 921 820-101 168 164-4 Total 5312 5588 276 59 63 4 146 124-22 887 658-229 158 177 19 1241 1056-185 257 228-29 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 '000 LSM LSM 1-4 912 1261 349 11 9-2 15 6-9 162 138-24 52 33-19 45 61 16 55 66 11 17.2 22.6 + 5.4 19.4 14-5.4 10.3 5-5.3 18.3 20.9 2.6 32.9 18.6-14.3 3.7 5.7 2 21.5 29.1 7.6 LSM 5-7 2856 2789-67 37 36-1 92 82-10 444 270-174 67 108 41 751 581-170 163 114-49 53.8 49.9 - -3.9 63.2 57-6.2 63.4 66.1 2.7 50.1 41.1-9 42.2 61 18.8 60.5 55.1-5.4 63.4 49.9-13.5 LSM 8-10 1544 1538-6 10 18 8 38 36-2 281 250-31 40 36-4 445 414-31 39 48 9 29.1 27.5-1.6 17.5 29 11.5 26.3 28.9 2.6 31.7 38 6.3 25 20.4-4.6 35.9 39.2 3.3 15.1 21 5.9 EMPLOYMENT Employed 2408 2464 56 27 27 0 70 44-26 392 278-114 75 76 1 679 592-87 99 93-6 45.3 44.1-1.2 45.4 43.7-1.7 48.1 35.6-12.5 44.2 42.3-1.9 47.4 43.2-4.2 54.7 56.1 1.4 38.6 40.9 2.3 Unemployed 2903 3123 220 32 35 3 76 80 4 495 380-115 83 100 17 562 464-98 158 135-23 54.7 55.9 1.2 54.6 56.3 1.7 51.9 64.4 12.5 55.8 57.7 1.9 52.6 56.8 4.2 45.3 43.9-1.4 61.4 59.1-2.3

NIELSEN S RESPONSE TO BRC QUERIES RAMS NOVEMBER 2015 RELEASE APPENDIX 5 Global Report

Analysis of November 2015 Radio Survey Nielsen - Data Science Jan. 20, 2016 Radio total listening analysis for RAMS During the third wave of 2015 (November 2015), a significant decrease of the total 7-day radio listening was observed in three provinces: Western Cape, Eastern Cape, and Limpopo. This document represents an analysis into reason for such a dramatic drop in total listening in these areas. We will aim to investigate whether this was a true phenomenon in the population or was the product of methodological considerations within the South Africa RAMS service. Request Statistical analysis of the difference in total listening in the past 7 days using the following waves: 14W6 (February 2015) 15W1 (June 2015) 15W2 (September 2015) 15W3 (November 2015) This will be performed by region, with special attention to the areas with the largest drops in total listening (Western Cape, Eastern Cape, and Limpopo). The analysis will be stratified by Gender, Age Groups, Race, Employment Status (Full/Part-time vs. Not Employed), and Urban/Rural designation. Regression analysis will also be considered in which each of these variables are examined together with the drops. The goal of the analysis is to explain the reasoning for the lower recordings of total 7-day listening. Descriptive Statistics The following table shows the [weighted] cumulative audience (cume) for All Radio in each province during the last 4 survey waves: Waves Province W6 W1 W2 W3 Gauteng 0.8669 0.8796 0.8724 0.8950 Kwazulu-Natal 0.9142 0.8761 0.8756 0.9083 Free State 0.9432 0.9321 0.9259 0.9373 Northern Cape 0.8832 0.9259 0.9236 0.9205 Western Cape 0.7710 0.7504 0.7100 0.6607 Eastern Cape 0.7604 0.8060 0.8034 0.7708 Limpopo 0.9441 0.9024 0.8969 0.8103 Mpumalanga 0.9311 0.9468 0.9449 0.9395 North-West 0.8980 0.8922 0.8982 0.9106

For the Western Cape and Limpopo, it is evident that there is a decreasing trend in listening levels. During the last wave (November 2015), the decrease in total listening seems to be more pronounced for Western Cape and Limpopo. Even if there is a little drop in Eastern Cape during the wave 3 compared to wave 2, the cume is actually slightly higher than one year ago (wave 6, December 2014). It is in Limpopo where the larger decrease happens during the last wave. However, it is interesting to note that the decrease between wave 1 and wave 2 is minimal (the reason for this may be seen below). The cume can also be computed un-weighted. This is useful to observe the listening pattern without any weighting adjustment: Waves Province W6 W1 W2 W3 Gauteng 0.8732 0.8864 0.8809 0.8938 Kwazulu-Natal 0.8687 0.8299 0.8266 0.8684 Free State 0.9313 0.9254 0.9145 0.9219 Northern Cape 0.9113 0.9236 0.9172 0.9253 Western Cape 0.8279 0.7745 0.7233 0.6764 Eastern Cape 0.7840 0.7929 0.7853 0.7797 Limpopo 0.9486 0.9117 0.8941 0.8271 Mpumalanga 0.9362 0.9420 0.9439 0.9377 North-West 0.8928 0.8943 0.9046 0.9026 The results remain similar which suggests that the weighting is not the cause of decreasing pattern. That is, the decreases were not manufactured from the weighting process for the Western Cape and Limpopo. Within each wave, the sample is composed of diaries from the previous survey and fresh newly sampled diaries. The following table shows the sample count for Western Cape, Eastern Cape and Limpopo: Sample size Proportion Wave Province New Prev. Total New Prev. W1 Eastern Cape 2998 967 3965 75.61% 24.39% W1 Limpopo 1642 80 1722 95.35% 4.65% W1 Western Cape 3143 1239 4382 71.73% 28.27% W2 Eastern Cape 1460 2998 4458 32.75% 67.25% W2 Limpopo 134 1642 1776 7.55% 92.45% W2 Western Cape 1740 3143 4883 35.63% 64.37% W3 Eastern Cape 2997 1460 4457 67.24% 32.76% W3 Limpopo 1645 131 1776 92.62% 7.38% W3 Western Cape 2796 1740 4536 61.64% 38.36%

One can note that most of the sample during wave 2 was rolled over from the previous wave. This most probably explains the stability for the total listening in Limpopo between wave 1 and 2. However, the last wave contains mostly fresh sampled diaries. Thus, if there was a steadily decreasing radio audience in any rural province, this would not be detected in Wave 2 because of the large amount of sample re-use from Wave 1. Weight distribution In this section, the focus will be on weight distribution between listeners and non-listeners during the last wave (November 2015). Log-weights comparison for Western Cape: Weights are slightly higher among the non-listeners in Western Cape Province. The magnitude of the difference is not large (even on a normal scale) and the unweighted counts show the design does not significantly contribute to the lower ratings.

Log-weights comparison for Eastern Cape: There is no difference in the weight distribution between listeners and non-listeners for Eastern Cape. Log-weights comparison for Limpopo: In Limpopo, the average weight is much greater compared to the listeners. This may account for a couple of percentages in the decrease but not much more since the un-weighted cume is already lower.