254
Section B: District Health Profiles
254
Section B: Profile Gauteng Province
10 Gauteng Province
Sedibeng District Municipality (DC42)
Overview of the district
The Sedibeng District Municipalitya is a Category C municipality situated on the southern tip of the Gauteng Province and strategically located on the border of three other provinces, namely Free State, North West and Mpumalanga. The municipality is the only area in the province that is situated on the banks of the Vaal River and Vaal Dam, covering the area formerly known as the Vaal Triangle. The municipality is a stone’s throw from Johannesburg along the scenic Vaal, Klip and Suikerbos Rivers. It is comprised of the Emfuleni, Lesedi and Midvaal Local Municipalities and includes the historic townships of Evaton, Sebokeng, Boipatong, Bophelong, Sharpeville and Ratanda, which have a rich political history and heritage. It has a variety of attractions offering a vast cultural heritage and historical experience. The Sedibeng region boasts several heritage sites related to the South African War of 1899–1902 and the two World Wars that followed. The Sharpeville Memorial Precinct stands as a reminder of the Sharpeville Massacre of 21 March 1960 when 69 people lost their lives while protesting the pass laws of the then apartheid South Africa. Sedibeng is the fourth-largest contributor to the Gauteng economy. The predominant economic sector in the district is the manufacturing of fabricated metal and chemicals. In the metal sector, the Arcelor-Mittal Steel plant, the Cape Gate Davsteel Wire and Steel plant, and the Ferromanganese plant of Samancor are the three main large baseline plants in the district, while DCDDorbyl Heavy Engineering is the biggest manufacturer of engineered products in Southern Africa.
Area: 4 173km²
Population (2016)b: 961 306
Population density (2016): 230.4 persons per km2
Estimated medical scheme coverage: 21.2%
Cities/Towns: De Deur/Walkerville, Devon, Eikenhof, Evaton, Heidelberg, Meyerton, Nigel, Sebokeng, Vaal Marina, Vaal Oewer, Vanderbijlpark, Vereeniging, Vischkuil.
Main Economic Sectors: Manufacturing (30.8%), government (17.8%), business services (17.8%), trade (13.7%).
Population distribution, local municipality boundaries and health facility locations
Source: Mid-Year Population Estimates 2016, Stats SA.
a The Local Government Handbook South Africa 2017. A complete guide to municipalities in South Africa. Seventh edition. Accessible at: www.municipalities.co.za.
b Mid-Year Population Estimates 2016, Stats SA.
AgeGrpYear
2006 2016
500 000 0 500 000
Population
500 000 0 500 000
Population
65+60-64 years55-59 years50-54 years45-49 years40-44 years35-39 years30-34 years25-29 years20-24 years15-19 years10-14 years05-09 years00-04 years
15 61812 42617 17421 83825 77028 64432 79737 97840 81538 66540 22137 52636 34941 212
21 19913 19816 94422 10225 92528 40731 80736 15940 33339 85840 63637 02635 65740 745
24 88516 59920 53823 45927 23032 55637 59639 73046 54743 28437 18039 82442 94345 788
32 99018 25721 91524 29827 13731 39536 78139 39044 88041 99136 60139 52543 00344 984
Sedibeng DM (DC42)
AgeGrp
2006 2016
8% 6% 4% 2% 0% 2% 4% 6% 8%
South Africa % of total population [Male | Female] - lines
8% 6% 4% 2% 0% 2% 4% 6% 8%
South Africa % of total population [Male | Female] - lines
8% 6% 4% 2% 0% 2% 4% 6% 8%
District % of total population [Male | Female] - bars
8% 6% 4% 2% 0% 2% 4% 6% 8%
District % of total population [Male | Female] - bars
65+60-64 years55-59 years50-54 years45-49 years40-44 years35-39 years30-34 years25-29 years20-24 years15-19 years10-14 years05-09 years00-04 years
1.8%1.4%
2.0%2.5%
3.0%3.3%
3.8%4.4%
4.8%4.5%4.7%4.4%4.2%
4.8%
2.5%1.5%2.0%
2.6%3.0%3.3%3.7%4.2%4.7%4.7%4.7%
4.3%4.2%
4.8%
2.6%1.7%
2.1%2.4%
2.8%3.4%
3.9%4.1%
4.8%4.5%
3.9%4.1%
4.5%4.8%
3.4%1.9%2.3%2.5%2.8%3.3%
3.8%4.1%4.7%
4.4%3.8%4.1%4.5%4.7%
Gendermalefemale
Graph 1: District population pyramid 2006 and 2016Graph 2: District % population by age-gender group in 2006 and 2016 compared to South AfricaSedibeng DM (DC42)
Show history
Section B: District Health Profiles
255
Section B: Profile Gauteng Province
255
District population pyramid and comparison with the national pyramid
Source: Mid-Year Population Estimates 2016, Stats SA.
256
Section B: District Health Profiles
256
Section B: Profile Gauteng Province
Social determinants of health
Source: Stats SA (Local Government Handbook), 2014 Blue Drop Report.
AgeGroup.. 2006-2010 2011-2015<5 years
5-1415-2425-64
65+Total 34%
16%32%
30%36%
82%
17%3%
24%18%
20%7%
41%79%
34%16%
14%7%
9%2%
10%36%
29%4%
24%15%
22%22%
28%77%
18%4%
26%21%
17%5%
48%78%
39%17%18%
11%
10%3%
12%40%37%
7%
GP, Sedibeng: DC42
Rank_.. 2006-2010 2011-2015
<5 y
ears
12345678910
5-14
12345678910
15-2
4
12345678910
25-6
4
12345678910
65+
12345678910
Other perinatal conditions (1.7%)Sepsis/other newborn infectious (2.1%)
Birth asphyxia (5.9%)Protein-energy malnutrition (4.4%)
Preterm birth complications (15.1%)
Accidental threats to breathing (1.3%)Meningitis/encephalitis (1.4%)
Diarrhoeal diseases (25.1%)Lower respiratory infections (25.0%)
HIV/AIDS (6.1%)
Drowning (5.9%)
Fires, hot substances (4.5%)Accidental threats to breathing (4.7%)
Mechanical forces (3.2%)
Meningitis/encephalitis (5.0%)
Road injuries (9.2%)
Diarrhoeal diseases (10.5%)
Lower respiratory infections (18.0%)
HIV/AIDS (10.3%)
Tuberculosis (10.8%)
Endocrine nutritional,blood, immune (1.8%)
Accidental threats to breathing (5.9%)Mechanical forces (6.0%)
Meningitis/encephalitis (5.0%)
Interpersonal violence (12.2%)
Road injuries (7.0%)
Diarrhoeal diseases (6.2%)
Lower respiratory infections (16.5%)
HIV/AIDS (6.9%)
Tuberculosis (11.5%)
Meningitis/encephalitis (3.8%)
Interpersonal violence (2.4%)
Hypertensive heart disease (3.1%)Diabetes mellitus (3.0%)
Ischaemic heart disease (4.8%)Diarrhoeal diseases (6.8%)
Cerebrovascular disease (4.7%)
Lower respiratory infections (19.5%)
HIV/AIDS (8.1%)Tuberculosis (15.5%)
Prostate (1.9%)
COPD (4.4%)Nephritis/nephrosis (4.0%)
Hypertensive heart disease (9.1%)Diabetes mellitus (6.6%)
Ischaemic heart disease (14.2%)
Diarrhoeal diseases (3.4%)
Cerebrovascular disease (14.3%)
Lower respiratory infections (10.4%)
Tuberculosis (2.4%)
Other perinatal conditions (2.6%)
Sepsis/other newborn infectious (8.3%)Birth asphyxia (6.7%)
Protein-energy malnutrition (3.7%)
Fires, hot substances (2.2%)
Preterm birth complications (16.5%)
Septicaemia (2.2%)
Diarrhoeal diseases (15.4%)
Lower respiratory infections (20.2%)
HIV/AIDS (4.1%)
Other unintentional injuries (7.1%)
Drowning (11.9%)
Fires, hot substances (4.6%)Epilepsy (4.0%)
Accidental threats to breathing (10.8%)
Meningitis/encephalitis (3.4%)
Diarrhoeal diseases (6.5%)
Lower respiratory infections (11.9%)
HIV/AIDS (9.2%)Tuberculosis (8.9%)
Fires, hot substances (3.5%)
Epilepsy (2.2%)
Accidental threats to breathing (9.8%)Mechanical forces (7.7%)
Meningitis/encephalitis (3.1%)
Interpersonal violence (13.9%)
Diarrhoeal diseases (3.6%)
Lower respiratory infections (11.5%)
HIV/AIDS (10.3%)Tuberculosis (11.5%)
Mechanical forces (3.4%)
Meningitis/encephalitis (2.9%)Nephritis/nephrosis (3.0%)Diabetes mellitus (3.2%)
Ischaemic heart disease (5.6%)Diarrhoeal diseases (3.7%)
Cerebrovascular disease (5.8%)
Lower respiratory infections (13.4%)HIV/AIDS (11.4%)
Tuberculosis (14.8%)
Septicaemia (2.1%)
COPD (4.2%)Nephritis/nephrosis (4.0%)
Hypertensive heart disease (7.7%)Diabetes mellitus (6.1%)
Ischaemic heart disease (14.3%)
Diarrhoeal diseases (2.6%)
Cerebrovascular disease (14.8%)
Lower respiratory infections (9.7%)
Tuberculosis (3.0%)
Rank..Maternal conditions
2006-2010 2011-2015
Fem
ale
15-4
9
123456
Maternal sepsis (12.2%) n=4Abortion (9.0%) n=3
Hypertension in pregnancy (27.2%) n=10Other maternal (14.9%) n=5
Indirect maternal (36.6%) n=13
Maternal sepsis (4.8%) n=6Abortion (12.2%) n=16
Maternal haemorrhage (17.0%) n=22Hypertension in pregnancy (16.4%) n=21
Other maternal (21.4%) n=27Indirect maternal (28.3%) n=36
BroadcauseInjuryNCDHIV and TBComm_mat_peri_nut
Percentages are shownaccording to all the
deaths within theage/period category of
each box, although onlythe leading 10 causes are
displayed.
Percentage of deaths by broad causes and single leading causesGP, Sedibeng: DC42
Show history
Section B: District Health Profiles
257
Section B: Profile Gauteng Province
257
Burden of disease – leading causes of death in district
258
Section B: District Health Profiles
258
Section B: Profile Gauteng Province
Women and maternal health
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
Section B: District Health Profiles
259
Section B: Profile Gauteng Province
259
Child and school health
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
260
Section B: District Health Profiles
260
Section B: Profile Gauteng Province
HIV
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
Section B: District Health Profiles
261
Section B: Profile Gauteng Province
261
Tuberculosis
Source: DHIS, ETR.Net, EDRWeb.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country.
262
Section B: District Health Profiles
262
Section B: Profile Gauteng Province
Non-communicable diseases
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
Numbers of deaths in facilities
Source: DHIS.
Percentage ideal clinics
Source: Ideal Clinic database.
Section B: District Health Profiles
263
Section B: Profile Gauteng Province
263
Vital ideal clinic elements in Primary Health Care facilities score (%)
Sedi
beng
Emfu
leni
LM
Lese
di L
M
Mid
vaal
LM
Resuscitation room is equipped with functional basic equipment for resuscitation 89 92 75 100
Restore the emergency trolley daily or after every time it was used 92 88 100 100
Cold chain procedure for vaccines is maintained 97 96 100 100
90% of the tracer medicines are available 97 96 100 100
The temperature of the medicine room/dispensary is maintained within the safety range 100 100 100 100
Source: Ideal Clinic database.
Number of facilities by level, 2017/18
Source: DHIS.
Human resources – filled posts
Source: Persal, Ward-based outreach team database.
264
Section B: District Health Profiles
264
Section B: Profile Gauteng ProvinceD
istr
ict h
ealth
exp
endi
ture
and
bud
get,
2017
/18
2017
/18
Bud
get
2017
/18
Prov
inci
al E
xpen
ditu
re
Tota
l 201
7/18
B
udge
t To
tal 2
017/
18
Prov
inci
al
Expe
nditu
re
% O
vers
pent
(u
nder
spen
t)Pr
ovin
cial
Tran
sfer
to L
GLG
Prov
inci
alTr
ansf
er to
LG
LG
2.1
Dis
trict
Man
agem
ent
58 7
89 3
70
51
571
417
58 7
89 3
7051
571
417
(12.
3%)
2.2
Com
mun
ity H
ealth
Clin
ics
273
909
095
261
792
420
273
909
095
261
792
420
(4.4
%)
2.3
Com
mun
ity H
ealth
Cen
tres
168
626
224
229
271
803
168
626
224
229
271
803
36.0
%2.
4 C
omm
unity
-bas
ed S
ervi
ces
126
578
655
113
893
218
126
578
655
113
893
218
(10.
0%)
2.6
HIV
/AID
S43
7 08
4 11
4
39
0 05
7 27
4
43
7 08
4 11
439
0 05
7 27
4(1
0.8%
)2.
7 N
utrit
ion
12 1
72 0
00
7
465
377
12 1
72 0
007
465
377
(38.
7%)
2.9
Dis
trict
Hos
pita
ls41
7 96
9 00
0
42
1 37
9 63
4
41
7 96
9 00
042
1 37
9 63
40.
8%Lo
cal g
over
nmen
t exp
endi
ture
-8
0 67
3 91
410
7 72
9 47
5
-36
890
661
84 0
01 9
2327
055
561
47 1
11 2
6274
.1%G
rand
Tot
al1
495
128
458
-80
673
914
107
729
475
1 47
5 43
1 14
3-3
6 89
0 66
184
001
923
1 52
2 18
4 01
91
522
542
405
0.0%
Sour
ce:
BAS,
*L
G –
Loc
al G
over
nmen
t.
Section B: District Health Profiles
265
Section B: Profile Gauteng Province
265
West Rand District Municipality (DC48)
Overview of the district
The West Rand District Municipalitya is a Category C municipality located in the west of the Gauteng Province. The West Rand extends from Randfontein (the seat of the district) in the west to Roodepoort in the east, and includes the town of Krugersdorp. It is bordered by Bojanala Platinum to the north-west, City of Tshwane to the north-east, City of Johannesburg to the east, Sedibeng to the south-east, and Dr Kenneth Kaunda to the south-west. It comprises three local municipalities: Merafong, Mogale and Rand West Cities. The municipality is situated relatively closely to the hub of economic activity in Gauteng and is transversed by major national roads, namely, the N12 and N14. Its main contribution lies primarily within the mining sector, however, areas such as Krugersdorp fulfil a residential function for many people working in Johannesburg. The West Rand remains the poorest region contributing to Gauteng’s Gross Domestic Product. The Cradle of Humankind falls under the jurisdiction of Mogale City and Merafong City and is a World Heritage Site.
Area: 4 087km²
Population (2016)b: 863 261
Population density (2016): 211.2 people per km2
Estimated medical scheme coverage: 23.3%
Cities/Towns: Carletonville, Fochville, Krugersdorp, Magaliesburg, Muldersdrift, Randfontein, Wedela, Westonaria.
Main Economic Sectors: Manufacturing (22%), mining (19%), community services (19%), finance (16%), trade (10%), transport (6%), construction (4%).
Population distribution, local municipality boundaries and health facility locations
Source: Mid-Year Population Estimates 2016, Stats SA.
a The Local Government Handbook South Africa 2017. A complete guide to municipalities in South Africa. Seventh edition. Accessible at: www.municipalities.co.za.
b Mid-Year Population Estimates 2016, Stats SA.
AgeGrpYear
2006 2016
500 000 0 500 000
Population
500 000 0 500 000
Population
65+60-64 years55-59 years50-54 years45-49 years40-44 years35-39 years30-34 years25-29 years20-24 years15-19 years10-14 years05-09 years00-04 years
11 00310 45416 98725 75034 95338 39438 79438 59935 80430 56331 42030 82934 35738 422
14 204
12 99518 09223 85828 54233 07035 01835 76531 60332 05432 17436 12337 355
9 70219 32119 26826 88729 99430 23730 42831 09132 87239 88936 05533 64735 98336 88040 467
22 19614 43119 47823 68127 19829 21131 63632 31037 14535 59135 13835 82136 93539 471
West Rand DM (DC48)
AgeGrp
2006 2016
8% 6% 4% 2% 0% 2% 4% 6% 8%
South Africa % of total population [Male | Female] - lines
8% 6% 4% 2% 0% 2% 4% 6% 8%
South Africa % of total population [Male | Female] - lines
8% 6% 4% 2% 0% 2% 4% 6% 8%
District % of total population [Male | Female] - bars
8% 6% 4% 2% 0% 2% 4% 6% 8%
District % of total population [Male | Female] - bars
65+60-64 years55-59 years50-54 years45-49 years40-44 years35-39 years30-34 years25-29 years20-24 years15-19 years10-14 years05-09 years00-04 years
2.1%3.2%
4.4%4.8%4.9%4.8%4.5%
3.8%3.9%3.9%
4.3%4.8%
1.8%
1.6%2.3%
3.0%3.6%
4.1%4.4%4.5%
4.0%4.0%4.0%4.5%4.7%
2.2%2.2%
3.1%3.5%3.5%3.5%3.6%3.8%
4.6%4.2%3.9%
4.2%4.3%
4.7%
2.6%1.7%
2.3%2.7%3.2%3.4%3.7%3.7%
4.3%4.1%4.1%4.1%4.3%4.6%
Gendermalefemale
Graph 1: District population pyramid 2006 and 2016Graph 2: District % population by age-gender group in 2006 and 2016 compared to South AfricaWest Rand DM (DC48)
Show history
266
Section B: District Health Profiles
266
Section B: Profile Gauteng Province
District population pyramid and comparison with the national pyramid
Source: Mid-Year Population Estimates 2016, Stats SA.
Section B: District Health Profiles
267
Section B: Profile Gauteng Province
267
Social determinants of health
Source: Stats SA (Local Government Handbook), 2014 Blue Drop Report.
AgeGroup.. 2006-2010 2011-2015<5 years
5-1415-2425-64
65+Total 30%
15%26%25%
37%78%
25%4%
35%26%
21%12%
34%78%
28%13%
13%6%
10%3%
12%37%
29%4%
20%12%
17%17%
24%67%
19%3%
29%21%
16%9%
48%81%
38%17%
25%16%
12%4%
15%46%
35%8%
GP, West Rand: DC48
Rank_.. 2006-2010 2011-2015
<5 y
ears
12345678910
5-14
12345678910
15-2
4
12345678910
25-6
4
12345678910
65+
12345678910
Other perinatal conditions (1.9%)Sepsis/other newborn infectious (2.8%)
Birth asphyxia (5.4%)Protein-energy malnutrition (3.2%)
Preterm birth complications (11.6%)
Meningitis/encephalitis (1.6%)
Diarrhoeal diseases (24.6%)Lower respiratory infections (24.9%)
HIV/AIDS (10.2%)
Tuberculosis (1.9%)
Other unintentional injuries (2.3%)
Drowning (7.4%)
Fires, hot substances (3.6%)Accidental threats to breathing (4.0%)
Meningitis/encephalitis (7.0%)
Road injuries (7.8%)
Diarrhoeal diseases (11.3%)
Lower respiratory infections (16.3%)
HIV/AIDS (10.4%)
Tuberculosis (12.1%)
Epilepsy (1.8%)
Accidental threats to breathing (7.3%)
Mechanical forces (6.5%)
Meningitis/encephalitis (4.9%)
Interpersonal violence (12.6%)
Road injuries (6.6%)
Diarrhoeal diseases (5.3%)
Lower respiratory infections (10.2%)HIV/AIDS (10.3%)
Tuberculosis (15.8%)
Mechanical forces (2.7%)Meningitis/encephalitis (3.0%)
Interpersonal violence (2.5%)Road injuries (2.6%)
Ischaemic heart disease (3.5%)
Diarrhoeal diseases (6.8%)Cerebrovascular disease (4.0%)
Lower respiratory infections (13.8%)HIV/AIDS (14.0%)
Tuberculosis (20.6%)
Cardiomyopathy (2.1%)
COPD (5.6%)
Nephritis/nephrosis (3.1%)
Hypertensive heart disease (6.6%)
Diabetes mellitus (4.9%)
Ischaemic heart disease (15.3%)
Diarrhoeal diseases (3.8%)
Cerebrovascular disease (11.9%)Lower respiratory infections (9.3%)
Tuberculosis (3.5%)
Congenital heart anomalies (2.6%)
Other perinatal conditions (4.0%)
Poisonings (including herbal) (2.1%)
Sepsis/other newborn infectious (4.8%)
Birth asphyxia (8.2%)
Protein-energy malnutrition (3.7%)
Preterm birth complications (11.9%)Diarrhoeal diseases (14.2%)
Lower respiratory infections (16.6%)
HIV/AIDS (7.6%)
Other unintentional injuries (4.3%)Leukaemia (3.8%)
Drowning (7.6%)
Fires, hot substances (6.2%)
Accidental threats to breathing (9.1%)
Road injuries (5.7%)Diarrhoeal diseases (5.2%)
Lower respiratory infections (11.2%)HIV/AIDS (9.8%)
Tuberculosis (7.5%)
Fires, hot substances (3.8%)
Accidental threats to breathing (11.7%)
Mechanical forces (7.2%)
Meningitis/encephalitis (3.3%)
Interpersonal violence (15.0%)
Road injuries (4.9%)
Diarrhoeal diseases (2.2%)
Lower respiratory infections (8.6%)
HIV/AIDS (10.8%)Tuberculosis (10.7%)
Accidental threats to breathing (3.1%)Mechanical forces (3.5%)
Interpersonal violence (2.9%)
Diabetes mellitus (2.6%)
Ischaemic heart disease (5.4%)
Diarrhoeal diseases (2.8%)
Cerebrovascular disease (4.6%)
Lower respiratory infections (10.1%)
HIV/AIDS (15.6%)Tuberculosis (13.9%)
Alzheimer’s and other dementias (2.4%)
Prostate (2.2%)Trachea/bronchi/lung (2.3%)
COPD (5.7%)
Nephritis/nephrosis (3.8%)
Hypertensive heart disease (6.6%)
Diabetes mellitus (4.6%)
Ischaemic heart disease (16.6%)Cerebrovascular disease (10.4%)
Lower respiratory infections (7.6%)
Rank..Maternal conditions
2006-2010 2011-2015
Fem
ale
15-4
9
123456
Maternal haemorrhage (13.3%) n=5Hypertension in pregnancy (27.3%) n=10
Other maternal (9.9%) n=4
Indirect maternal (49.5%) n=18
Abortion (8.6%) n=10Maternal haemorrhage (13.8%) n=16
Hypertension in pregnancy (17.6%) n=20Other maternal (23.6%) n=27
Indirect maternal (36.3%) n=41
BroadcauseInjuryNCDHIV and TBComm_mat_peri_nut
Percentages are shownaccording to all the
deaths within theage/period category of
each box, although onlythe leading 10 causes are
displayed.
Percentage of deaths by broad causes and single leading causesGP, West Rand: DC48
Show history
268
Section B: District Health Profiles
268
Section B: Profile Gauteng Province
Burden of disease – leading causes of death in district
Section B: District Health Profiles
269
Section B: Profile Gauteng Province
269
Women and maternal health
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
270
Section B: District Health Profiles
270
Section B: Profile Gauteng Province
Child and school health
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
Section B: District Health Profiles
271
Section B: Profile Gauteng Province
271
HIV
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
272
Section B: District Health Profiles
272
Section B: Profile Gauteng Province
Tuberculosis
Source: DHIS, ETR.Net, EDRWeb.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country.
Section B: District Health Profiles
273
Section B: Profile Gauteng Province
273
Non-communicable diseases
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
Numbers of deaths in facilities
Source: DHIS.
Percentage ideal clinics
Source: Ideal Clinic database.
274
Section B: District Health Profiles
274
Section B: Profile Gauteng Province
Vital ideal clinic elements in Primary Health Care facilities score (%)
Wes
t Ran
d
Mer
afon
g C
ity L
M
Mog
ale
City
LM
Ran
d W
est C
ity L
M
Restore the emergency trolley daily or after every time it was used 63 64 44 81
Resuscitation room is equipped with functional basic equipment for resuscitation 88 93 72 100
The temperature of the medicine room/dispensary is maintained within the safety range 96 100 89 100
Cold chain procedure for vaccines is maintained 98 100 94 100
90% of the tracer medicines are available 100 100 100 100
Source: Ideal Clinic database.
Number of facilities by level, 2017/18
Source: DHIS.
Human resources – filled posts
Source: Persal, Ward-based outreach team database.
Section B: District Health Profiles
275
Section B: Profile Gauteng Province
275
Dis
tric
t hea
lth e
xpen
ditu
re a
nd b
udge
t, 20
17/1
8
2017
/18
Bud
get
2017
/18
Prov
inci
al E
xpen
ditu
re
Tota
l 201
7/18
B
udge
t To
tal 2
017/
18
Prov
inci
al
Expe
nditu
re
% O
vers
pent
(u
nder
spen
t)Pr
ovin
cial
Tran
sfer
to L
GLG
Prov
inci
alTr
ansf
er to
LG
LG
2.1
Dis
trict
Man
agem
ent
85 7
62 6
10
93
796
228
85 7
62 6
1093
796
228
9.4%
2.2
Com
mun
ity H
ealth
Clin
ics
314
367
970
263
354
006
314
367
970
263
354
006
(16.
2%)
2.3
Com
mun
ity H
ealth
Cen
tres
95 9
02 3
28
10
6 39
1 7 0
3
95
902
32 8
106
391
703
10.9
%2.
4 C
omm
unity
-bas
ed S
ervi
ces
219
220
011
230
282
708
219
220
011
230
282
708
5.0%
2.6
HIV
/AID
S41
7 85
7 16
8
37
1 98
0 19
4
41
7 85
7 16
837
1 98
0 19
4(1
1.0%
)2.
7 N
utrit
ion
4 01
2 00
0
3
666
764
4 01
2 00
03
666
764
(8.6
%)
2.9
Dis
trict
Hos
pita
ls45
0 17
4 00
0
46
3 96
7 35
0
45
0 17
4 00
046
3 96
7 35
03.
1%Lo
cal g
over
nmen
t exp
endi
ture
-5
3 09
7 34
948
494
379
-3
1 72
8 76
933
575
279
-4 6
02 9
701
846
510
(140
.1%)
Gra
nd T
otal
1 58
7 29
6 08
7-5
3 09
7 34
948
494
379
1 53
3 43
8 95
1-3
1 72
8 76
933
575
279
1 58
2 69
3 11
71
535
285
461
(3.0
%)
Sour
ce:
BAS,
*L
G –
Loc
al G
over
nmen
t.
276
Section B: District Health Profiles
276
Section B: Profile Gauteng Province
Ekurhuleni Metropolitan Municipality (EKU)
Overview of the district
The City of Ekurhuleni Metropolitan Municipalitya is a Category A municipality and covers an extensive area from Germiston in the west to Springs and Nigel in the east. The former administrations of the nine towns in the former East Rand were amalgamated into the metropolitan municipality, along with the Khayalami Metropolitan Council and the Eastern Gauteng Services Council. It is one of the most densely populated areas in the province, and the country. The economy in the region is larger and more diverse than that of many small countries in Africa. It accounts for nearly a quarter of Gauteng’s economy, which in turn contributes over a third of the national Gross Domestic Product. Many of the factories for the production of goods and commodities are located in Ekurhuleni, often referred to as ‘Africa’s Workshop’.
The network of roads, airports, rail lines, telephones, electricity grids and telecommunications found in Ekurhuleni rivals that of Europe and America. It can be regarded as the transportation hub of the country. It is home to OR Tambo International Airport; South Africa’s largest railway hub; a number of South Africa’s modern freeways and expressways; the Maputo Corridor Development; direct rail, road and air links connecting Ekurhuleni to Durban; the Blue IQ projects, with linkages to the City Deep Container terminal; the Gautrain rapid rail link to Johannesburg and Pretoria; and the OR Tambo International Airport Industrial Development Zone (IDZ). The City of Ekurhuleni Metropolitan Municipality comprises six health sub-districts, namely Ekurhuleni East 1 and East 2, Ekurhuleni North 1 and North 2, and Ekurhuleni South 1 and South 2.
Area: 1 975km²
Population (2016)b: 3 461 050
Population density (2016): 1 752.4 persons per km2
Estimated medical scheme coverage: 24.8%
Cities/Towns: Alberton, Bedfordview, Benoni, Birchleigh, Boksburg, Brakpan, Clayville, Daveyton, Dunnottar, Edenvale, Geduld, Germiston, Katlehong, Kempton Park, Kwa-Thema, Machenzieville, Nigel, Olifantsfontein, Springs, Tembisa, Tokoza, Vosloorus, Vorsterkroon.
Main Economic Sectors: Manufacturing (23%), finance and business services (22%), community services (19%), trade (15%), transport (11%), construction (5%), electricity (3%), mining (2%).
a The Local Government Handbook South Africa 2017. A complete guide to municipalities in South Africa. Seventh edition. Accessible at: www.municipalities.co.za.
b Mid-Year Population Estimates 2016, Stats SA.
Section B: District Health Profiles
277
Section B: Profile Gauteng Province
277
Population distribution, sub-district boundaries and health facility locations
Source: Mid-Year Population Estimates 2016, Stats SA.
AgeGrpYear
2006 2016
500 000 0 500 000
Population
500 000 0 500 000
Population
65+60-64 years55-59 years50-54 years45-49 years40-44 years35-39 years30-34 years25-29 years20-24 years15-19 years10-14 years05-09 years00-04 years
115 541140 170
160 399153 974
128 314123 431121 319
132 261146 800
101 388120 592140 436143 838
127 255121 631120 637127 722143 483
47 59140 471
57 32976 147
95 748
61 77640 78353 27169 88386 964 119 345
139 298145 784147 455
171 462152 054132 562140 632145 262151 854
104 178
104 282122 385133 963139 479156 582
144 649128 460137 989143 078148 624
91 31661 171
79 84698 205
58 56374 55388 019
Ekurhuleni MM (EKU)
AgeGrp
2006 2016
8% 6% 4% 2% 0% 2% 4% 6% 8%
South Africa % of total population [Male | Female] - lines
8% 6% 4% 2% 0% 2% 4% 6% 8%
South Africa % of total population [Male | Female] - lines
8% 6% 4% 2% 0% 2% 4% 6% 8%
District % of total population [Male | Female] - bars
8% 6% 4% 2% 0% 2% 4% 6% 8%
District % of total population [Male | Female] - bars
65+60-64 years55-59 years50-54 years45-49 years40-44 years35-39 years30-34 years25-29 years20-24 years15-19 years10-14 years05-09 years00-04 years
1.6%
1.9%2.5%
3.2%3.9%
4.7%5.3%5.1%
4.3%4.1%4.0%
4.4%4.9%
2.1%
1.8%2.3%
2.9%3.4%
4.0%4.7%4.8%
4.2%4.1%4.0%4.3%
4.8%
2.6%1.8%
2.3%2.8%
3.4%4.0%4.2%4.3%
5.0%4.4%3.8%
4.1%4.2%4.4%
3.0%1.7%2.2%2.5%3.0%
3.5%3.9%4.0%4.5%
4.2%3.7%4.0%4.1%4.3%
Gendermalefemale
Graph 1: District population pyramid 2006 and 2016Graph 2: District % population by age-gender group in 2006 and 2016 compared to South AfricaEkurhuleni MM (EKU)
Show history
278
Section B: District Health Profiles
278
Section B: Profile Gauteng Province
District population pyramid and comparison with the national pyramid
Source: Mid-Year Population Estimates 2016, Stats SA.
Section B: District Health Profiles
279
Section B: Profile Gauteng Province
279
Social determinants of health
Source: Stats SA (Local Government Handbook), 2014 Blue Drop Report.
AgeGroup.. 2006-2010 2011-2015<5 years
5-1415-2425-64
65+Total 30%
14%26%24%
36%77%
24%4%
33%26%
24%10%
36%79%
30%14%
16%8%
10%3%
10%37%
24%5%
21%13%
17%18%
29%70%
23%4%
34%26%
22%7%
46%81%
37%17%
22%17%
10%3%
12%39%
27%6%
GP, Ekurhuleni: EKU
Rank_.. 2006-2010 2011-2015
<5 y
ears
12345678910
5-14
12345678910
15-2
4
12345678910
25-6
4
12345678910
65+
12345678910
Sepsis/other newborn infectious (4.6%)Birth asphyxia (6.1%)
Protein-energy malnutrition (4.1%)
Preterm birth complications (13.4%)
Septicaemia (2.4%)
Meningitis/encephalitis (2.0%)
Diarrhoeal diseases (22.1%)Lower respiratory infections (20.0%)
HIV/AIDS (8.2%)
Tuberculosis (2.1%)
Drowning (5.6%)
Fires, hot substances (3.5%)Epilepsy (2.2%)
Accidental threats to breathing (4.8%)Meningitis/encephalitis (5.4%)
Road injuries (4.0%)
Diarrhoeal diseases (10.0%)
Lower respiratory infections (15.4%)HIV/AIDS (12.9%)
Tuberculosis (11.3%)
Fires, hot substances (2.8%)
Accidental threats to breathing (6.0%)
Mechanical forces (10.7%)
Meningitis/encephalitis (4.4%)
Interpersonal violence (10.6%)
Road injuries (4.6%)
Diarrhoeal diseases (4.0%)
Lower respiratory infections (12.1%)
HIV/AIDS (10.1%)
Tuberculosis (15.7%)
Mechanical forces (3.4%)
Meningitis/encephalitis (3.9%)
Interpersonal violence (2.0%)Diabetes mellitus (2.3%)
Ischaemic heart disease (3.8%)
Diarrhoeal diseases (5.2%)Cerebrovascular disease (3.9%)
Lower respiratory infections (14.3%)HIV/AIDS (13.2%)
Tuberculosis (20.1%)
Cardiomyopathy (2.4%)
COPD (5.2%)Nephritis/nephrosis (3.3%)
Hypertensive heart disease (6.0%)Diabetes mellitus (5.6%)
Ischaemic heart disease (13.2%)
Diarrhoeal diseases (2.6%)
Cerebrovascular disease (13.7%)
Lower respiratory infections (9.0%)
Tuberculosis (3.0%)
Other perinatal conditions (2.5%)
Sepsis/other newborn infectious (5.9%)Birth asphyxia (8.4%)
Protein-energy malnutrition (3.1%)
Other respiratory (4.8%)
Preterm birth complications (17.5%)
Septicaemia (3.4%)
Diarrhoeal diseases (11.3%)Lower respiratory infections (14.8%)
HIV/AIDS (5.2%)
Other unintentional injuries (2.9%)
Drowning (7.4%)
Fires, hot substances (5.8%)
Other respiratory (3.1%)
Accidental threats to breathing (5.0%)Meningitis/encephalitis (4.2%)
Diarrhoeal diseases (6.9%)
Lower respiratory infections (10.5%)HIV/AIDS (12.1%)
Tuberculosis (10.2%)
Fires, hot substances (3.7%)
Epilepsy (1.4%)
Accidental threats to breathing (11.0%)Mechanical forces (11.1%)
Meningitis/encephalitis (3.7%)
Interpersonal violence (9.5%)
Diarrhoeal diseases (2.4%)
Lower respiratory infections (8.2%)
HIV/AIDS (14.2%)Tuberculosis (12.3%)
Mechanical forces (4.3%)
Meningitis/encephalitis (2.6%)Nephritis/nephrosis (2.5%)
Diabetes mellitus (3.0%)
Ischaemic heart disease (4.4%)
Diarrhoeal diseases (2.8%)
Cerebrovascular disease (4.9%)Lower respiratory infections (9.4%)
HIV/AIDS (18.3%)Tuberculosis (15.3%)
Prostate (2.3%)Colo-rectal (2.4%)
COPD (6.3%)
Nephritis/nephrosis (4.0%)
Hypertensive heart disease (6.5%)
Diabetes mellitus (6.0%)
Ischaemic heart disease (12.7%)Cerebrovascular disease (12.3%)
Lower respiratory infections (7.6%)
Tuberculosis (2.5%)
Rank..Maternal conditions
2006-2010 2011-2015
Fem
ale
15-4
9
123456 Maternal sepsis (3.4%) n=5
Abortion (4.4%) n=6Maternal haemorrhage (12.1%) n=16
Hypertension in pregnancy (14.1%) n=19Other maternal (14.0%) n=19
Indirect maternal (52.0%) n=69
Maternal sepsis (5.2%) n=25Abortion (12.1%) n=57Maternal haemorrhage (12.4%) n=58Hypertension in pregnancy (13.7%) n=64
Other maternal (25.8%) n=121Indirect maternal (30.7%) n=144
BroadcauseInjuryNCDHIV and TBComm_mat_peri_nut
Percentages are shownaccording to all the
deaths within theage/period category of
each box, although onlythe leading 10 causes are
displayed.
Percentage of deaths by broad causes and single leading causesGP, Ekurhuleni: EKU
Show history
280
Section B: District Health Profiles
280
Section B: Profile Gauteng Province
Burden of disease – leading causes of death in district
Section B: District Health Profiles
281
Section B: Profile Gauteng Province
281
Women and maternal health
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
282
Section B: District Health Profiles
282
Section B: Profile Gauteng Province
Child and school health
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
Section B: District Health Profiles
283
Section B: Profile Gauteng Province
283
HIV
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
284
Section B: District Health Profiles
284
Section B: Profile Gauteng Province
Tuberculosis
Source: DHIS, ETR.Net, EDRWeb.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country.
Section B: District Health Profiles
285
Section B: Profile Gauteng Province
285
Non-communicable diseases
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
Numbers of deaths in facilities
Source: DHIS.
Percentage ideal clinics
Source: Ideal Clinic database.
286
Section B: District Health Profiles
286
Section B: Profile Gauteng Province
Vital ideal clinic elements in Primary Health Care facilities score (%)
Ekur
hule
ni
Ekur
hule
ni E
ast 1
SD
Ekur
hule
ni E
ast 2
SD
Ekur
hule
ni N
orth
1 SD
Ekur
hule
ni N
orth
2 S
D
Ekur
hule
ni S
outh
1 S
D
Ekur
hule
ni S
outh
2 S
D
Resuscitation room is equipped with functional basic equipment for resuscitation 99 100 94 100 100 100 100
Restore the emergency trolley daily or after every time it was used 99 93 100 100 100 100 100
There is at least one functional wall mounted room thermometer in the medicine room/dispensary 100 100 100 100 100 100 100
The temperature of the medicine room/dispensary is recorded daily 100 100 100 100 100 100 100
The temperature of the medicine room/dispensary is maintained within the safety range 100 100 100 100 100 100 100
Source: Ideal Clinic database.
Number of facilities by level, 2017/18
Source: DHIS.
Human resources – filled posts
Source: Persal, Ward-based outreach team database.
Section B: District Health Profiles
287
Section B: Profile Gauteng Province
287
Dis
tric
t hea
lth e
xpen
ditu
re a
nd b
udge
t, 20
17/1
8
2017
/18
Bud
get
2017
/18
Prov
inci
al E
xpen
ditu
re
Tota
l 201
7/18
B
udge
t To
tal 2
017/
18
Prov
inci
al
Expe
nditu
re
% O
vers
pent
(u
nder
spen
t)Pr
ovin
cial
Tran
sfer
to L
GLG
Prov
inci
alTr
ansf
er to
LG
LG
2.1
Dis
trict
Man
agem
ent
77 0
65 5
19
96
478
553
77 0
65 5
1996
478
553
25.2
%2.
2 C
omm
unity
Hea
lth C
linic
s54
8 49
4 49
2
52
6 78
6 28
8
54
8 49
4 49
252
6 78
6 28
8(4
.0%
)2.
3 C
omm
unity
Hea
lth C
entre
s28
2 23
1 03
8
28
8 34
1 9 9
1
28
2 23
1 0 3
828
8 34
1 99
12.
2%2.
4 C
omm
unity
-bas
ed S
ervi
ces
526
761
066
596
132
596
526
761
066
596
132
596
13.2
%2.
6 H
IV/A
IDS
1 02
1 55
2 73
4
1
064
628
212
1 02
1 55
2 73
41
064
628
212
4.2%
2.7
Nut
ritio
n12
154
000
11 6
88 8
35
12
154
000
11 6
88 8
35(3
.8%
)2.
9 D
istri
ct H
ospi
tals
306
479
000
312
385
776
306
479
000
312
385
776
1.9%
Loca
l gov
ernm
ent e
xpen
ditu
re
-155
086
217
1 36
2 89
3 06
5
-153
020
952
1 38
6 86
2 80
31
207
806
848
1 23
3 84
1 85
12.
2%G
rand
Tot
al2
774
737
849
-155
086
217
1 36
2 89
3 06
52
896
442
250
-153
020
952
1 38
6 86
2 80
33
982
544
697
4 13
0 28
4 10
13.
7%
Sour
ce:
BAS,
*L
G –
Loc
al G
over
nmen
t.
288
Section B: District Health Profiles
288
Section B: Profile Gauteng Province
Johannesburg Metropolitan Municipality (JHB)
Overview of the district
The City of Johannesburg Metropolitan Municipalitya is located in the Gauteng Province. Johannesburg is the most advanced commercial city in Africa and the engine room of the South African and regional economy. It is a city with a unique, African character, world-class infrastructure in the fields of telecommunications, transportation, water and power, and with globally-competitive health care and educational facilities. However, the city is also one of contrasts – home to both wealthy and poor, residents and refugees, global corporations and emerging enterprises. The demographics of Johannesburg indicate a large and ethnically diverse metropolitan area. As the largest city in South Africa, its population is defined by a long history of local and international migration. Johannesburg is home to almost five million people, accounting for about 36% of Gauteng’s population and 8% of the national population.
The city has been growing over the past decade and a key contributor to this is that the city continues to attract people from other provinces, and internationally, who are looking for better economic opportunities and quality of life. The population pyramid indicates that the city’s population is predominantly young. This can be attributed to migration from other parts of the country as young people look for jobs. Johannesburg is considered the economic hub of South Africa and is often the first choice of destination by job-seekers across the country. The City of Johannesburg Metropolitan Municipality is divided into seven health sub-districts, named Johannesburg Sub-district A to Johannesburg Sub-district G.
Area: 1 645km²
Population (2016)b: 3 461 050
Population density (2016): 3 018.4 people per km2
Estimated medical scheme coverage: 25.0%
Cities/Towns: Alexandra, Diepkloof, Diepsloot, Ennerdale, Johannesburg, Johannesburg South, Lawley, Lenasia, Lenasia South, Meadowlands East, Meadowlands West, Midrand, Orange Farm, Pimville, Randburg, Roodepoort, Sandton, Soweto.
Main Economic Sectors: Finance and business services, community services, manufacturing, trade (collectively 82%).
Population distribution, sub-district boundaries and health facility locations
Source: Mid-Year Population Estimates 2016, Stats SA.
a The Local Government Handbook South Africa 2017. A complete guide to municipalities in South Africa. Seventh edition. Accessible at: www.municipalities.co.za.
b Mid-Year Population Estimates 2016, Stats SA.
AgeGrpYear
2006 2016
500 000 0 500 000
Population
500 000 0 500 000
Population
65+60-64 years55-59 years50-54 years45-49 years40-44 years35-39 years30-34 years25-29 years20-24 years15-19 years10-14 years05-09 years00-04 years
114 259143 419
186 255222 988214 290
161 562144 856141 429
162 636186 251
113 162131 015
164 493201 328211 862
168 964143 408138 606157 108
181 718
61 88248 879
69 13588 611
87 23455 21172 74393 828
115 215
128 875170 814
212 993227 918216 632
236 834200 500
174 858191 923
210 418226 308
149 365
102 327121 397
154 483195 315
226 488226 126234 706
198 612171 752187 753206 117220 954
74 29299 679
82 548
Johannesburg MM (JHB)
AgeGrp
2006 2016
8% 6% 4% 2% 0% 2% 4% 6% 8%
South Africa % of total population [Male | Female] - lines
8% 6% 4% 2% 0% 2% 4% 6% 8%
South Africa % of total population [Male | Female] - lines
8% 6% 4% 2% 0% 2% 4% 6% 8%
District % of total population [Male | Female] - bars
8% 6% 4% 2% 0% 2% 4% 6% 8%
District % of total population [Male | Female] - bars
65+60-64 years55-59 years50-54 years45-49 years40-44 years35-39 years30-34 years25-29 years20-24 years15-19 years10-14 years05-09 years00-04 years
1.6%
1.8%2.3%
3.0%3.7%
4.8%5.8%5.5%
4.2%3.7%3.7%
4.2%4.8%
2.3%1.4%1.9%2.4%2.9%3.4%
4.3%5.2%5.5%
4.4%3.7%3.6%4.1%
4.7%
2.3%1.5%
2.0%2.6%
3.4%4.3%
4.6%4.4%
4.8%4.0%
3.5%3.9%
4.2%4.6%
3.0%1.7%2.1%2.4%
3.1%3.9%
4.6%4.6%4.7%
4.0%3.5%3.8%4.2%4.5%
Gendermalefemale
Graph 1: District population pyramid 2006 and 2016Graph 2: District % population by age-gender group in 2006 and 2016 compared to South AfricaJohannesburg MM (JHB)
Show history
Section B: District Health Profiles
289
Section B: Profile Gauteng Province
289
District population pyramid and comparison with the national pyramid
Source: Mid-Year Population Estimates 2016, Stats SA.
290
Section B: District Health Profiles
290
Section B: Profile Gauteng Province
Social determinants of health
Source: Stats SA (Local Government Handbook), 2014 Blue Drop Report.
AgeGroup.. 2006-2010 2011-2015<5 years
5-1415-2425-64
65+Total 22%
12%20%18%
23%70%
22%3%
33%23%
20%10%
45%83%
36%19%
28%14%
10%3%
12%41%
29%5%
18%12%15%13%
21%65%
18%3%
29%20%
12%5%
53%82%
43%22%
34%24%
11%4%
13%44%
32%7%
GP, Johannesburg: JHB
Rank_.. 2006-2010 2011-2015
<5 y
ears
12345678910
5-14
12345678910
15-2
4
12345678910
25-6
4
12345678910
65+
12345678910
Congenital heart anomalies (3.3%)Sepsis/other newborn infectious (5.1%)Birth asphyxia (5.3%)
Protein-energy malnutrition (2.9%)
Preterm birth complications (13.2%)
Septicaemia (3.0%)
Meningitis/encephalitis (2.3%)
Diarrhoeal diseases (19.4%)Lower respiratory infections (16.3%)
HIV/AIDS (8.5%)
Leukaemia (3.5%)
Drowning (7.3%)
Fires, hot substances (4.9%)
Accidental threats to breathing (3.9%)
Meningitis/encephalitis (4.7%)
Road injuries (7.0%)
Diarrhoeal diseases (4.5%)
Lower respiratory infections (8.4%)
HIV/AIDS (11.3%)Tuberculosis (8.6%)
Fires, hot substances (2.3%)
Accidental threats to breathing (7.0%)
Mechanical forces (15.3%)
Meningitis/encephalitis (2.8%)
Interpersonal violence (7.7%)
Road injuries (5.4%)Diarrhoeal diseases (2.9%)
Lower respiratory infections (8.0%)HIV/AIDS (11.0%)Tuberculosis (11.7%)
Mechanical forces (4.4%)
Meningitis/encephalitis (2.3%)Nephritis/nephrosis (2.7%)
Diabetes mellitus (2.1%)
Ischaemic heart disease (3.6%)
Diarrhoeal diseases (3.9%)Cerebrovascular disease (3.7%)
Lower respiratory infections (10.2%)
HIV/AIDS (16.7%)Tuberculosis (16.4%)
Alzheimer’s and other dementias (2.5%)Colo-rectal (2.7%)Trachea/bronchi/lung (3.0%)
COPD (5.1%)
Nephritis/nephrosis (4.5%)Hypertensive heart disease (5.0%)Diabetes mellitus (5.1%)
Ischaemic heart disease (12.4%)Cerebrovascular disease (10.6%)
Lower respiratory infections (7.0%)
Other congenital abnormalities (2.9%)
Congenital heart anomalies (5.5%)
Other perinatal conditions (3.1%)
Sepsis/other newborn infectious (6.2%)Birth asphyxia (7.0%)
Preterm birth complications (17.4%)
Septicaemia (3.7%)
Diarrhoeal diseases (9.6%)Lower respiratory infections (12.1%)
HIV/AIDS (3.9%)
Other unintentional injuries (3.0%)
Leukaemia (4.7%)
Drowning (7.0%)
Fires, hot substances (8.1%)
Accidental threats to breathing (5.7%)
Meningitis/encephalitis (3.8%)Diarrhoeal diseases (3.1%)
Lower respiratory infections (7.7%)HIV/AIDS (7.7%)
Tuberculosis (4.6%)
Fires, hot substances (3.2%)
Accidental threats to breathing (11.3%)Mechanical forces (14.2%)
Meningitis/encephalitis (1.9%)
Interpersonal violence (8.5%)
Road injuries (2.3%)Nephritis/nephrosis (1.9%)
Lower respiratory infections (5.1%)
HIV/AIDS (11.2%)Tuberculosis (9.3%)
Septicaemia (2.3%)
Accidental threats to breathing (2.5%)
Mechanical forces (4.9%)
Nephritis/nephrosis (3.6%)
Diabetes mellitus (2.3%)
Ischaemic heart disease (4.0%)Cerebrovascular disease (4.4%)
Lower respiratory infections (7.2%)
HIV/AIDS (16.9%)Tuberculosis (12.4%)
Colo-rectal (2.8%)
Trachea/bronchi/lung (3.2%)Septicaemia (3.0%)
COPD (5.9%)Nephritis/nephrosis (4.9%)
Hypertensive heart disease (4.3%)Diabetes mellitus (4.6%)
Ischaemic heart disease (11.8%)Cerebrovascular disease (10.1%)
Lower respiratory infections (6.3%)
Rank..Maternal conditions
2006-2010 2011-2015
Fem
ale
15-4
9
123456 Maternal sepsis (3.2%) n=4
Abortion (10.8%) n=14Maternal haemorrhage (6.0%) n=8
Hypertension in pregnancy (11.1%) n=14
Other maternal (34.5%) n=44Indirect maternal (34.4%) n=43
Maternal sepsis (2.9%) n=14
Abortion (10.8%) n=53Maternal haemorrhage (10.7%) n=52
Hypertension in pregnancy (17.8%) n=86Other maternal (28.5%) n=139
Indirect maternal (29.2%) n=142
BroadcauseInjuryNCDHIV and TBComm_mat_peri_nut
Percentages are shownaccording to all the
deaths within theage/period category of
each box, although onlythe leading 10 causes are
displayed.
Percentage of deaths by broad causes and single leading causesGP, Johannesburg: JHB
Show history
Section B: District Health Profiles
291
Section B: Profile Gauteng Province
291
Burden of disease – leading causes of death in district
292
Section B: District Health Profiles
292
Section B: Profile Gauteng Province
Women and maternal health
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
Section B: District Health Profiles
293
Section B: Profile Gauteng Province
293
Child and school health
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
294
Section B: District Health Profiles
294
Section B: Profile Gauteng Province
HIV
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
Section B: District Health Profiles
295
Section B: Profile Gauteng Province
295
Tuberculosis
Source: DHIS, ETR.Net, EDRWeb.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country.
296
Section B: District Health Profiles
296
Section B: Profile Gauteng Province
Non-communicable diseases
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
Numbers of deaths in facilities
Source: DHIS.
Percentage ideal clinics
Source: Ideal Clinic database.
Section B: District Health Profiles
297
Section B: Profile Gauteng Province
297
Vital ideal clinic elements in Primary Health Care facilities score (%)
Joha
nnes
burg
Joha
nnes
burg
A S
D
Joha
nnes
burg
B S
D
Joha
nnes
burg
C S
D
Joha
nnes
burg
D S
D
Joha
nnes
burg
E S
D
Joha
nnes
burg
F S
D
Joha
nnes
burg
G S
D
Restore the emergency trolley daily or after every time it was used 74 92 88 62 61 57 73 85
Resuscitation room is equipped with functional basic equipment for resuscitation 76 85 100 62 75 71 60 81
90% of the tracer medicines are available 98 100 100 100 96 100 100 96
The temperature of the medicine room/dispensary is recorded daily 99 100 100 100 100 100 100 96
The temperature of the medicine room/dispensary is maintained within the safety range 99 100 100 100 100 100 100 96
Source: Ideal Clinic database.
Number of facilities by level, 2017/18
Source: DHIS.
Human resources – filled posts
Source: Persal, Ward-based outreach team database.
298
Section B: District Health Profiles
298
Section B: Profile Gauteng ProvinceD
istr
ict h
ealth
exp
endi
ture
and
bud
get,
2017
/18
2017
/18
Bud
get
2017
/18
Prov
inci
al E
xpen
ditu
re
Tota
l 201
7/18
B
udge
t To
tal 2
017/
18
Prov
inci
al
Expe
nditu
re
% O
vers
pent
(u
nder
spen
t)Pr
ovin
cial
Tran
sfer
to L
GLG
Prov
inci
alTr
ansf
er to
LG
LG
2.1
Dis
trict
Man
agem
ent
158
779
865
142
210
958
158
779
865
142
210
958
(10.
4%)
2.2
Com
mun
ity H
ealth
Clin
ics
659
625
283
772
800
448
659
625
283
772
800
448
17.2
%2.
3 C
omm
unity
Hea
lth C
entre
s86
1 94
8 51
6
78
7 29
2 77
4
86
1 94
8 51
678
7 29
2 77
4(8
.7%
)2.
4 C
omm
unity
-bas
ed S
ervi
ces
509
493
765
380
728
126
509
493
765
380
728
126
(25.
3%)
2.6
HIV
/AID
S1
209
656
557
1 19
6 90
7 11
1
1
209
656
557
1 19
6 90
7 11
1(1
.1%)
2.7
Nut
ritio
n13
386
000
12 8
51 7
32
13
386
000
12 8
51 7
32(4
.0%
)2.
9 D
istri
ct H
ospi
tals
605
704
000
627
031
914
605
704
000
627
031
914
3.5%
Loca
l gov
ernm
ent e
xpen
ditu
re
-156
527
000
929
408
000
-1
51 7
17 3
441
061
039
155
772
881
000
909
321
811
17.7
%G
rand
Tot
al4
018
593
987
-156
527
000
929
408
000
3 91
9 82
3 06
4-1
51 7
17 3
441
061
039
155
4 79
1 47
4 98
74
829
144
875
0.8%
Sour
ce:
BAS,
*L
G –
Loc
al G
over
nmen
t.
Section B: District Health Profiles
299
Section B: Profile Gauteng Province
299
Tshwane Metropolitan Municipality (TSH)
Overview of the district
The City of Tshwane Metropolitan Municipalitya is a Category A municipality situated in the Gauteng Province. It merged with the Metsweding District, which was a consequence of the Gauteng Global City Region Strategy to reduce the number of municipalities in Gauteng to at least four by 2016. The City of Tshwane is the single-largest metropolitan municipality in the country, comprising seven regions, 105 wards and 210 councillors. Pretoria is the capital of South Africa. It has the second-largest number of embassies in the world after Washington DC. Many embassies thus call this city their home. The Union Buildings house the administrative hub of the country and has also been the setting for the presidential inaugurations of Nelson Mandela, Thabo Mbeki and the incumbent South African president, Cyril Ramaphosa. These sandstone buildings offer beautiful views over the city.
Its rich and colourful heritage is reflected in the city’s myriad of museums, monuments and historical buildings, and is punctuated by contemporary arts and crafts markets, bringing it alive with a unique blend of old and new. The Science and Technology Museum offers a tactile experience of science at work. The South African mint has a minting press dating back to 1892 that is still in operation. The City also offers township sleepovers with a five-star stay. Church Square and the State Theatre often host international and national performances. There are also two nature reserves where visitors can view wildlife such as buffalo, antelope, cheetah, jackal, giraffe and sable. The City of Tshwane Metropolitan Municipality is divided into seven health sub-districts, namely, Tshwane health sub-district 1 to Tshwane health sub-district 7.
Area: 6 298km²
Population (2016)b: 3 316 198
Population density (2016): 526.5 persons per km2
Estimated medical scheme coverage: 30.5%
Cities/Towns: Akasia, Atteridgeville, Bronkhorstspruit, Centurion, Cullinan, Ekangala, Ga-Rankuwa, Garsfontein, Hammanskraal, Irene, Kudube, Mabopane, Mamelodi, Pretoria, Pretoria North, Rayton, Refilwe, Roodeplaat, Soshanguve, Temba, Winterveldt.
Main Economic Sectors: General government (28.1%), finance, insurance, real estate and business services (24.7%), manufacturing (13.0%), wholesale and retail trade, catering and accommodation (11.9%), transport, storage and communication (10.3%), community, social and personal services (5.2%), construction (3.5%), electricity, gas and water (1.9%), mining and quarrying (0.7%), agriculture, forestry and fishing (0.5%).
a The Local Government Handbook South Africa 2017. A complete guide to municipalities in South Africa. Seventh edition. Accessible at: www.municipalities.co.za.
b Mid-Year Population Estimates 2016, Stats SA.
300
Section B: District Health Profiles
300
Section B: Profile Gauteng Province
Population distribution, sub-district boundaries and health facility locations
Source: Mid-Year Population Estimates 2016, Stats SA.
AgeGrpYear
2006 2016
500 000 0 500 000
Population
500 000 0 500 000
Population
65+60-64 years55-59 years50-54 years45-49 years40-44 years35-39 years30-34 years25-29 years20-24 years15-19 years10-14 years05-09 years00-04 years
111 630124 987132 121118 106113 296106 040104 847
127 888
105 237120 082132 743125 966
112 603103 938101 705
124 473
44 49634 580
45 49660 988
76 55090 949
60 77237 93947 16360 05974 54685 940
103 102121 346
140 644147 083
166 317144 546
115 923132 014
144 173156 995
100 238
100 082117 997
141 117154 875166 767
145 812114 742129 411141 345153 376
76 42850 751
66 98582 270
53 15368 06180 645
Tshwane MM (TSH)
AgeGrp
2006 2016
8% 6% 4% 2% 0% 2% 4% 6% 8%
South Africa % of total population [Male | Female] - lines
8% 6% 4% 2% 0% 2% 4% 6% 8%
South Africa % of total population [Male | Female] - lines
8% 6% 4% 2% 0% 2% 4% 6% 8%
District % of total population [Male | Female] - bars
8% 6% 4% 2% 0% 2% 4% 6% 8%
District % of total population [Male | Female] - bars
65+60-64 years55-59 years50-54 years45-49 years40-44 years35-39 years30-34 years25-29 years20-24 years15-19 years10-14 years05-09 years00-04 years
1.7%
1.8%2.4%
3.0%3.5%
4.3%4.8%5.1%4.6%4.4%4.1%4.1%
4.9%
2.4%1.5%1.8%2.3%
2.9%3.3%
4.1%4.6%5.1%4.9%
4.4%4.0%3.9%
4.8%
2.3%1.5%
2.0%2.5%
3.1%3.7%
4.2%4.4%
5.0%4.4%
3.5%4.0%
4.3%4.7%
3.0%1.6%2.1%2.4%
3.0%3.6%
4.3%4.7%5.0%
4.4%3.5%3.9%4.3%4.6%
Gendermalefemale
Graph 1: District population pyramid 2006 and 2016Graph 2: District % population by age-gender group in 2006 and 2016 compared to South AfricaTshwane MM (TSH)
Show history
Section B: District Health Profiles
301
Section B: Profile Gauteng Province
301
District population pyramid and comparison with the national pyramid
Source: Mid-Year Population Estimates 2016, Stats SA.
302
Section B: District Health Profiles
302
Section B: Profile Gauteng Province
Social determinants of health
Source: Stats SA (Local Government Handbook), 2014 Blue Drop Report.
AgeGroup.. 2006-2010 2011-2015<5 years
5-1415-2425-64
65+Total 22%
10%19%20%
29%73%
18%3%
28%20%
18%10%
49%84%
41%19%
30%11%
10%3%
12%41%
22%5%
16%10%
14%16%
23%66%
18%3%
29%22%
19%7%
57%84%
46%25%
33%19%
9%3%
11%37%
25%7%
GP, Tshwane: TSH
Rank_.. 2006-2010 2011-2015
<5 y
ears
12345678910
5-14
12345678910
15-2
4
12345678910
25-6
4
12345678910
65+
12345678910
Congenital heart anomalies (2.2%)
Sepsis/other newborn infectious (3.9%)
Birth asphyxia (4.8%)Protein-energy malnutrition (3.9%)
Preterm birth complications (10.4%)
Septicaemia (2.4%)
Diarrhoeal diseases (23.4%)Lower respiratory infections (19.6%)
HIV/AIDS (8.0%)
Tuberculosis (2.3%)
Congenital heart anomalies (2.3%)Leukaemia (3.7%)Drowning (3.9%)
Endocrine nutritional,blood, immune (1.8%)
Meningitis/encephalitis (4.6%)
Road injuries (10.6%)
Diarrhoeal diseases (8.6%)
Lower respiratory infections (11.1%)
HIV/AIDS (8.8%)Tuberculosis (9.7%)
Cardiomyopathy (2.2%)
Accidental threats to breathing (5.0%)Mechanical forces (7.7%)
Meningitis/encephalitis (2.9%)
Interpersonal violence (8.0%)
Road injuries (13.2%)
Diarrhoeal diseases (3.5%)
Lower respiratory infections (9.1%)HIV/AIDS (9.4%)Tuberculosis (10.6%)
Mechanical forces (2.4%)
Road injuries (4.6%)
Hypertensive heart disease (2.5%)Diabetes mellitus (2.6%)
Ischaemic heart disease (5.5%)
Diarrhoeal diseases (4.5%)Cerebrovascular disease (4.1%)
Lower respiratory infections (9.8%)HIV/AIDS (12.8%)
Tuberculosis (14.9%)
Trachea/bronchi/lung (2.3%)Cardiomyopathy (2.3%)
COPD (4.2%)Nephritis/nephrosis (4.3%)
Hypertensive heart disease (8.6%)
Diabetes mellitus (5.8%)
Ischaemic heart disease (15.7%)Cerebrovascular disease (11.7%)
Lower respiratory infections (6.0%)
Tuberculosis (2.1%)
Congenital heart anomalies (3.6%)Other perinatal conditions (3.0%)
Sepsis/other newborn infectious (4.8%)
Birth asphyxia (6.6%)
Protein-energy malnutrition (3.6%)
Preterm birth complications (11.8%)
Septicaemia (2.7%)
Diarrhoeal diseases (16.0%)Lower respiratory infections (15.8%)
HIV/AIDS (5.6%)
Leukaemia (3.2%)Drowning (3.4%)
Fires, hot substances (2.8%)
Accidental threats to breathing (5.0%)
Meningitis/encephalitis (2.9%)
Road injuries (9.6%)
Diarrhoeal diseases (7.0%)Lower respiratory infections (8.5%)
HIV/AIDS (10.5%)
Tuberculosis (8.7%)
Leukaemia (2.2%)
Accidental threats to breathing (10.0%)Mechanical forces (9.0%)
Meningitis/encephalitis (2.2%)
Interpersonal violence (4.5%)
Road injuries (7.2%)
Diarrhoeal diseases (2.4%)
Lower respiratory infections (6.9%)
HIV/AIDS (11.9%)Tuberculosis (10.3%)
Mechanical forces (2.6%)Road injuries (2.6%)
Nephritis/nephrosis (3.1%)Hypertensive heart disease (2.8%)
Diabetes mellitus (3.4%)
Ischaemic heart disease (5.5%)Cerebrovascular disease (4.8%)
Lower respiratory infections (7.3%)
HIV/AIDS (16.4%)Tuberculosis (12.7%)
Prostate (2.4%)Trachea/bronchi/lung (2.4%)
COPD (4.2%)Nephritis/nephrosis (5.1%)
Hypertensive heart disease (9.6%)Diabetes mellitus (6.4%)
Ischaemic heart disease (12.9%)Cerebrovascular disease (11.7%)
Lower respiratory infections (6.0%)
Tuberculosis (2.3%)
Rank..Maternal conditions
2006-2010 2011-2015
Fem
ale
15-4
9
123456
Abortion (9.9%) n=7Maternal haemorrhage (8.6%) n=6
Hypertension in pregnancy (24.9%) n=17Other maternal (11.7%) n=8
Indirect maternal (44.9%) n=30
Maternal sepsis (4.3%) n=12
Abortion (12.1%) n=35Maternal haemorrhage (6.2%) n=18
Hypertension in pregnancy (17.1%) n=49Other maternal (28.3%) n=81Indirect maternal (32.0%) n=92
BroadcauseInjuryNCDHIV and TBComm_mat_peri_nut
Percentages are shownaccording to all the
deaths within theage/period category of
each box, although onlythe leading 10 causes are
displayed.
Percentage of deaths by broad causes and single leading causesGP, Tshwane: TSH
Show history
Section B: District Health Profiles
303
Section B: Profile Gauteng Province
303
Burden of disease – leading causes of death in district
304
Section B: District Health Profiles
304
Section B: Profile Gauteng Province
Women and maternal health
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
Section B: District Health Profiles
305
Section B: Profile Gauteng Province
305
Child and school health
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
306
Section B: District Health Profiles
306
Section B: Profile Gauteng Province
HIV
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
Section B: District Health Profiles
307
Section B: Profile Gauteng Province
307
Tuberculosis
Source: DHIS, ETR.Net, EDRWeb.
Value highlighted in green – performance is ranked among the 10 best in the country
Value highlighted in red – performance is ranked among the 10 worst in the country.
308
Section B: District Health Profiles
308
Section B: Profile Gauteng Province
Non-communicable diseases
Source: DHIS.
Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country
Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
Numbers of deaths in facilities
Source: DHIS.
Percentage ideal clinics
Source: Ideal Clinic database.
Section B: District Health Profiles
309
Section B: Profile Gauteng Province
309
Vital ideal clinic elements in Primary Health Care facilities score (%)
Tshw
ane
Tshw
ane
1 SD
Tshw
ane
2 SD
Tshw
ane
3 SD
Tshw
ane
4 SD
Tshw
ane
5 SD
Tshw
ane
6 SD
Tshw
ane
7 SD
Restore the emergency trolley daily or after every time it was used 81 90 92 83 100 50 89 29
Resuscitation room is equipped with functional basic equipment for resuscitation 89 81 100 92 100 100 100 57
Cold chain procedure for vaccines is maintained 99 95 100 100 100 100 100 100
90% of the tracer medicines are available 99 100 100 100 100 83 100 100
The temperature of the medicine room/dispensary is maintained within the safety range 100 100 100 100 100 100 100 100
Source: Ideal Clinic database.
Number of facilities by level, 2017/18
Source: DHIS.
Human resources – filled posts
Source: Persal, Ward-based outreach team database.
310
Section B: District Health Profiles
310
Section B: Profile Gauteng ProvinceD
istr
ict h
ealth
exp
endi
ture
and
bud
get,
2017
/18
2017
/18
Bud
get
2017
/18
Prov
inci
al E
xpen
ditu
re
Tota
l 201
7/18
B
udge
t To
tal 2
017/
18
Prov
inci
al
Expe
nditu
re
% O
vers
pent
(u
nder
spen
t)Pr
ovin
cial
Tran
sfer
to L
GLG
Prov
inci
alTr
ansf
er to
LG
LG
2.1
Dis
trict
Man
agem
ent
136
138
636
140
495
179
136
138
636
140
495
179
3.2%
2.2
Com
mun
ity H
ealth
Clin
ics
629
103
160
591
515
193
629
103
160
591
515
193
(6.0
%)
2.3
Com
mun
ity H
ealth
Cen
tres
369
331
894
380
967
111
369
331
894
380
967
111
3.2%
2.4
Com
mun
ity-b
ased
Ser
vice
s39
8 02
6 50
3
45
9 62
0 38
1
39
8 02
6 50
345
9 62
0 38
115
.5%
2.6
HIV
/AID
S87
1 05
2 42
7
86
6 85
7 87
8
87
1 05
2 42
786
6 85
7 87
8(0
.5%
)2.
7 N
utrit
ion
13 8
59 0
00
13
883
933
13 8
59 0
0013
883
933
0.2%
2.9
Dis
trict
Hos
pita
ls1
203
590
000
1 19
0 71
7 16
6
1
203
590
000
1 19
0 71
7 16
6(1
.1%)
Loca
l gov
ernm
ent e
xpen
ditu
re
-166
463
948
616
490
020
-1
61 7
36 3
8856
0 97
8 08
245
0 02
6 07
239
9 24
1 69
4(1
1.3%
)G
rand
Tot
al3
621
101
620
-166
463
948
616
490
020
3 64
4 05
6 84
0-1
61 7
36 3
8856
0 97
8 08
24
071
127
692
4 04
3 29
8 53
4(0
.7%
)
Sour
ce:
BAS,
*L
G –
Loc
al G
over
nmen
t.