376 Section B: National and District Profiles 376 Section B: Profile Gauteng Province 18 Gauteng Province Sedibeng District Municipality (DC42) Sedibeng District is situated in southern Gauteng Province and borders the Free State, North West and Mpumalanga provinces. It comprises three health sub-districts, namely Emfuleni, Lesedi and Midvaal. The district has a population of 935 835, with a population density of 224.3 persons per km 2 and falls in socio-economic Quintile 5, among the wealthiest districts. Estimated medical scheme coverage is 21.2%. Social determinants of health a Unemployment rate a 31.9% Youth unemployment rate (15-34 years) a 41.7% No schooling 4.3% Matric 36.0% Higher education 12.0% Households 330 828 Female-headed households 36.0% Formal dwellings 86.7% Flush toilet connected to sewerage 86.6% Weekly refuse removal 86.8% Piped water inside dwellings 69.9% Electricity for lighting 93.2% Blue Drop water score 90.2% Source: StatsSA. 2014 Blue Drop Report. Population distribution sub-district boundaries and health facility locations a Statistics South Africa. Census 2011 Municipal fact sheet. Report No. 03-01-58. Pretoria: Statistics SA; 2012. Population per selected category Population category 2017 2018 2019 2020 under 1 year 18 704 18 913 18 847 18 511 under 5 years 91 521 92 052 92 087 91 700 05-09 years 86 402 86 967 87 685 88 682 10-14 years 80 866 82 437 83 638 84 509 15-19 years 74 564 76 406 78 160 79 615 20-24 years 83 862 82 437 81 657 81 691 25-29 years 91 462 90 913 90 270 89 468 30-34 years 80 861 83 631 86 783 90 074 35-39 years 74 946 74 965 74 448 73 701 40-44 years 64 887 66 134 67 312 68 309 45-49 years 54 953 55 861 56 875 57 932 50-54 years 48 027 48 391 48 759 49 177 55-59 years 42 637 42 770 42 876 43 017 60-64 years 35 508 36 256 36 864 37 322 65-69 years 25 980 26 972 27 932 28 804 70-74 years 17 478 18 134 18 821 19 570 75-79 years 9 926 10 680 11 375 11 998 80 years and older 6 624 7 058 7 502 7 961 Total 970 509 982 061 993 044 1 003 535 Estimated pregnant women* 20 013 20 237 20 166 19 807 Source: Mid-Year Population Estimates 2016 StatsSA. * Under 1 year population X 1.07.
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18auteng Province G Health...Section B: Profile Gauteng Province Number of facilities by level, 2016/17 Ward based outreach teams Clinic CHC District Hospital Regional Hospital Central
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376
Section B: National and District Profiles
376
Section B: Profile Gauteng Province
18 Gauteng Province
Sedibeng District Municipality (DC42)
Sedibeng District is situated in southern Gauteng Province and borders the Free State, North West and Mpumalanga provinces. It comprises three health sub-districts, namely Emfuleni, Lesedi and Midvaal. The district has a population of 935 835, with a population density of 224.3 persons per km2 and falls in socio-economic Quintile 5, among the wealthiest districts. Estimated medical scheme coverage is 21.2%.
Social determinants of healtha
Unemployment ratea 31.9%
Youth unemployment rate (15-34 years)a 41.7%
No schooling 4.3%
Matric 36.0%
Higher education 12.0%
Households 330 828
Female-headed households 36.0%
Formal dwellings 86.7%
Flush toilet connected to sewerage 86.6%
Weekly refuse removal 86.8%
Piped water inside dwellings 69.9%
Electricity for lighting 93.2%
Blue Drop water score 90.2%
Source: StatsSA. 2014 Blue Drop Report.
Population distribution sub-district boundaries and health facility locations
a Statistics South Africa. Census 2011 Municipal fact sheet. Report No. 03-01-58. Pretoria: Statistics SA; 2012.
For the percentage of deaths by broad cause, deaths are classified into four groups namely: (i) injuries; (ii) non-communicable diseases; (iii) HIV and TB; and (iv) communicable diseases together with maternal perinatal and nutritional conditions. Data are given by gender and age group for the period 2010–2015. The second part of the graph shows the 10 leading single causes of death within each age group (both genders) for 2010–2015 combined.
Percentage of deaths by broad cause and leading causes 2010–2015
2009 2010 2011 2012 2013 2014 2015 2016Year
2_M
ater
nal a
nd w
omen
's h
ealth
1_Im
pact Maternal
mortality infacility ratio
2_O
utco
me
Antenatal 1stvisit before 20weeks rate
Couple yearprotection rate(WHO)
Delivery infacility under 18years rate
Motherpostnatal visitwithin 6 daysrate
3_O
utpu
t
Antenatal clientinitiated on ARTrate
Cervical cancerscreeningcoverage
0
200
400
600
800
20
40
60
80
100
200
5
10
15
0
100
200
50
100
150
200
50
100
150
GP, DC42, Sedibeng District Municipality, SEQ 5 (least deprived)
GP, DC42, Sedibeng District Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
382
Section B: National and District Profiles
382
Section B: Profile Gauteng Province
Child and School Health Annual trends
Im
pact
Out
com
eO
utpu
t
Chi
ld u
nder
5
year
s di
arrh
oea
case
fata
lity
rate
(%)
Chi
ld u
nder
5
year
s pn
eum
onia
ca
se fa
talit
y ra
te (%
)
Chi
ld u
nder
5
year
s se
vere
acu
te
mal
nutr
ition
ca
se fa
talit
y ra
te (%
)
Inpa
tient
de
ath
unde
r 1
year
rate
(%)
Inpa
tient
de
ath
unde
r 5
year
rate
(%)
Inpa
tient
ea
rly n
eona
tal
deat
h ra
te
(per
1K)
Inpa
tient
ne
onat
al
deat
h ra
te
(per
1K)
Infa
nt P
CR
test
pos
itive
ar
ound
10
wee
ks ra
te
(%)
Imm
unis
atio
n co
vera
ge
unde
r 1 y
ear
(%)
Infa
nt
excl
usiv
ely
brea
stfe
d at
D
TaP-
IPV-
Hib
-H
BV
3rd d
ose
rate
(%)
Mea
sles
2nd
dos
e co
vera
ge (%
)
Scho
ol G
rade
1
scre
enin
g co
vera
ge (%
)
Scho
ol G
rade
8
scre
enin
g co
vera
ge (%
)
Vita
min
A
dose
12-
59
mon
ths
cove
rage
(%)
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
Emfu
leni
SD
Indi
cato
r0.
70.
82.
416
.410
.87.1
11.5
1.0
111.
535
.913
1.2
43.2
51.5
77.7
Num
erat
or3
44
152
166
8413
718
11 2
514
643
13 7
675
688
5 57
967
469
Den
omin
ator
413
533
164
929
1 53
111
880
11 8
801
871
121
140
12 9
3912
5 94
613
160
10 8
281
042
080
Lese
di S
DIn
dica
tor
2.5
3.9
-7.
95.
58.
68.
62.
194
.927
.911
1.7
90.0
98.6
52.0
Num
erat
or5
4 -
2326
1515
31
326
384
1 63
11
556
1 16
86
337
Den
omin
ator
204
102
2529
147
41
747
1 74
714
116
767
1 37
417
529
1 72
91
185
146
106
Mid
vaal
SD
Indi
cato
r -
- -
- -
- -
2.7
127.
241
.613
2.9
34.8
58.1
69.3
Num
erat
or -
- -
- -
- -
51
509
661
1 63
454
725
27
082
Den
omin
ator
- -
- -
- -
-18
714
241
1 58
914
754
1 57
343
412
2 56
2
Sedi
beng
In
dica
tor
1.3
1.3
2.1
14.3
9.6
7.3
11.2
1.2
111.
135
.812
9.2
47.3
56.2
74.1
Num
erat
or8
84
175
192
9915
226
14 0
865
688
17 0
327
791
6 99
980
888
Den
omin
ator
617
635
189
1 22
02
005
13 6
2713
627
2 19
915
2 14
815
902
158
229
197
544
149
364
1 31
0 74
8
Gau
teng
Indi
cato
r1.
71.
56.
59.
76.
710
.013
.61.
796
.744
.010
5.7
49.5
35.4
61.5
Sout
h Af
rica
Indi
cato
r2.
02.
08.
06.
34.
49.
912
.41.
382
.341
.696
.233
.019
.858
.0
Sour
ce:
DH
IS.
2009 2010 2011 2012 2013 2014 2015 2016Year
4_H
IV
4_P
roce
ss_i
nput
HIV testingcoverage(including ANC)
Male condomdistributioncoverage
Medical malecircumcisionrate
20
40
60
100
200
0
20
40
6080
GP, DC42, Sedibeng District Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
Section B: National and District Profiles
383
Section B: Profile Gauteng Province
383
HIV
3rd 9
0-90
-90
2nd 9
0-90
-90
1st 90
-90-
90
Out
com
eO
utpu
tPr
oces
s &
inpu
t
Adu
lt w
ith v
iral
load
com
plet
ion
rate
at 1
2 m
onth
s (%
)
Chi
ld w
ith v
iral
load
com
plet
ion
rate
at 1
2 m
onth
s (%
)
Adu
lt w
ith v
iral
load
sup
pres
sed
rate
12
mon
ths
(%)
Chi
ld w
ith v
iral
load
sup
pres
sed
rate
12
mon
ths
(%)
Adu
lt pe
rcen
tage
on
AR
T af
ter 1
2 m
onth
s (%
)
Chi
ld p
erce
ntag
e on
AR
T af
ter 1
2 m
onth
s (%
)C
lient
s re
mai
ning
on
AR
T ra
te (%
)
HIV
test
pos
itive
cl
ient
15
year
s an
d ol
der r
ate
(incl
udin
g A
NC
) (%
)
HIV
test
ing
cove
rage
(in
clud
ing
AN
C)
(%)
Mal
e co
ndom
di
strib
utio
n co
vera
ge (N
o)
Med
ical
mal
e ci
rcum
cisi
on ra
te
(per
1K)
2015
2015
2015
2015
2015
2015
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
Emfu
leni
SD
Indi
cato
r90
.888
.767
.346
.774
.377
.6 -
-56
.478
.19.
9
Num
erat
or -
180
-84
-22
5 -
-23
7 41
522
120
054
3 09
9
Den
omin
ator
7 73
920
37
024
180
11 0
6029
0 -
-5
050
989
3 39
7 45
53
737
976
Lese
di S
DIn
dica
tor
93.5
87.2
62.9
44.1
77.8
84.3
- -
45.8
54.9
14.2
Num
erat
or -
34 -
15 -
43 -
-26
474
2 26
5 01
364
4
Den
omin
ator
1 10
239
1 03
034
1 51
851
- -
694
302
494
844
542
526
Mid
vaal
SD
Indi
cato
r94
.210
0.0
73.1
75.0
71.6
69.2
- -
97.6
51.2
52.6
Num
erat
or -
24 -
18 -
27 -
-54
566
2 13
2 80
02
372
Den
omin
ator
1 09
524
1 03
124
1 60
039
- -
670
932
499
416
541
605
Sedi
beng
In
dica
tor
91.4
89.5
67.4
49.2
74.4
77.6
41.4
8.5
59.6
72.5
15.2
Num
erat
or -
238
-11
7 -
295
69 8
5429
092
318
455
26 5
17 8
676
115
Den
omin
ator
9 93
626
69
085
238
14 1
7838
016
8 67
234
2 69
36
416
223
4 39
1 71
54
822
107
Gau
teng
Indi
cato
r72
.670
.175
.554
.372
.181
.445
.610
.329
.736
.619
.3
Sout
h Af
rica
Indi
cato
r -
- -
- -
-55
.08.
235
.947
.519
.0
Sour
ce:
DH
IS.
Annual trends
2009 2010 2011 2012 2013 2014 2015 2016Year
5_TB
1_Im
pact
TB death rate(ETR.net)
TB DR clientdeath rate(EDRWeb)
2_O
utco
me
TB client lost tofollow up rate(ETR.Net)
TB clienttreatmentsuccess rate(ETR.net)
TB DR clientloss to follow uprate (EDRWeb)
TB DRtreatmentsuccess rate(EDRWeb)
TB Rifampicinresistanceconfirmed clientrate
TB/HIVco-infectedclient on ARTrate (ETR.Net)
4_P
roce
ss_i
nput
TB symptom 5years and olderscreened infacility rate
5
10
15
0
20
40
60
0
5
10
15
40
60
80
0
20
40
0
20
40
60
0
10
20
0
50
100
0
50
100
GP, DC42, Sedibeng District Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
384
Section B: National and District Profiles
384
Section B: Profile Gauteng Province
TB
Im
pact
Out
com
eO
utpu
tPr
oces
s &
inpu
t
TB d
eath
rate
(E
TR.n
et) (
%)
TB D
R cl
ient
de
ath
rate
(E
DR
Web
) (%
)
TB c
lient
loss
to
follo
w u
p ra
te
(ETR
.Net
) (%
)
TB c
lient
tr
eatm
ent
succ
ess
rate
(E
TR.n
et) (
%)
TB D
R cl
ient
loss
to
follo
w u
p ra
te
(ED
RW
eb) (
%)
TB D
R tr
eatm
ent
succ
ess
rate
(E
DR
Web
) (%
)
TB R
ifam
pici
n re
sist
ance
co
nfirm
ed c
lient
ra
te (%
)
TB R
ifam
pici
n re
sist
ant c
lient
s tr
eatm
ent
initi
atio
n ra
te (%
)
TB/H
IV c
o-in
fect
ed c
lient
on
AR
T ra
te (E
TR.
Net
) (%
)
TB c
lient
initi
ated
on
trea
tmen
t ra
te (%
)
TB s
ympt
om 5
ye
ars
and
olde
r sc
reen
ed in
fa
cilit
y ra
te (%
)
2015
2014
2015
2015
2014
2014
2016
2016
2016
2016
2016
/17
Emfu
leni
SD
Indi
cato
r9.
6 -
7.3
80.6
- -
- -
92.2
-10
0.8
Num
erat
or28
3 -
215
2 37
9 -
- -
-1
483
-1
167
607
Den
omin
ator
2 95
0 -
2 95
02
950
- -
- -
1 60
8 -
1 15
8 80
3
Lese
di S
DIn
dica
tor
9.0
-7.
977
.6 -
- -
-97
.5 -
85.8
Num
erat
or41
-36
354
- -
- -
238
-12
8 82
3
Den
omin
ator
456
-45
645
6 -
- -
-24
4 -
150
150
Mid
vaal
SD
Indi
cato
r9.
7 -
8.3
76.4
- -
- -
95.6
-98
.2
Num
erat
or28
-24
220
- -
- -
152
-15
5 63
4
Den
omin
ator
288
-28
828
8 -
- -
-15
9 -
158
515
Sedi
beng
In
dica
tor
9.5
22.2
7.4
79.9
16.3
51.1
5.0
52.2
93.1
79.4
99.0
Num
erat
or35
230
275
2 95
322
6915
983
1 87
32
528
1 45
2 06
4
Den
omin
ator
3 69
413
53
694
3 69
413
513
53
184
159
2 01
13
184
1 46
7 46
8
Gau
teng
Indi
cato
r6.
320
.25.
984
.915
.955
.65.
755
.690
.380
.071
.9
Sout
h Af
rica
Indi
cato
r6.
623
.06.
481
.017
.950
.56.
268
.088
.372
.851
.6
Sour
ce:
DH
IS.
Annual trends
2010 2011 2012 2013 2014 2015 2016 2017Year
6_NCDs
2_Outcome
Diabetesincidence
Hypertensionincidence
0
5
20
40
GP, DC42, Sedibeng District Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
Section B: National and District Profiles
385
Section B: Profile Gauteng Province
385
Non-communicable diseases
Outcome
Diabetes incidence
(per1K)
Hypertension incidence
(per1K)
2016/17 2016/17
Emfuleni SD Indicator 2.9 22.7
Numerator 2 106 5 654
Denominator 8 842 704 2 994 720
Lesedi SD Indicator 2.2 29.2
Numerator 221 1 014
Denominator 1 222 752 416 220
Midvaal SD Indicator 12.0 24.3
Numerator 1 191 916
Denominator 1 186 128 451 932
Sedibeng Indicator 3.8 23.6
Numerator 3 518 7 584
Denominator 11 251 584 3 862 872
Gauteng Indicator 3.2 19.8
South Africa Indicator 2.5 18.9
Source: DHIS.
Annual trends
Sub-district value in red – improvement strategies are urgently needed
Value highlighted in yellow – performance is ranked among the 10 best in the country
Value highlighted in red – performance is ranked among the 10 worst in the country
386
Section B: National and District Profiles
386
Section B: Profile Gauteng Province
West Rand District Municipality (DC48)
West Rand District is located in the western part of Gauteng Province and is divided into four health sub-districts, namely Merafong City, Mogale City, Randfontein and Westonaria. It has a population of 884 031, with a population density is 216.3 persons per km2 and falls in socio-economic Quintile 4, among the wealthier districts. Estimated medical scheme coverage is 23.3%.
Social determinants of healtha
Unemployment ratea 26.3%
Youth unemployment rate (15-34 years)a 35.2%
No schooling 3.8%
Matric 34.7%
Higher education 10.1%
Households 330 572
Female-headed households 31.7%
Formal dwellings 76.3%
Flush toilet connected to sewerage 80.1%
Weekly refuse removal 79.3%
Piped water inside dwellings 55.5%
Electricity for lighting 83.5%
Blue Drop water score 87.8%
Source: StatsSA. 2014 Blue Drop Report.
Population distribution sub-district boundaries and health facility locations
a Statistics South Africa. Census 2011 Municipal fact sheet. Report No. 03-01-58. Pretoria: Statistics SA; 2012.
For the percentage of deaths by broad cause, deaths are classified into four groups namely: (i) injuries; (ii) non-communicable diseases; (iii) HIV and TB; and (iv) communicable diseases together with maternal perinatal and nutritional conditions. Data are given by gender and age group for the period 2010–2015. The second part of the graph shows the 10 leading single causes of death within each age group (both genders) for 2010–2015 combined.
Percentage of deaths by broad cause and leading causes 2010–2015
2009 2010 2011 2012 2013 2014 2015 2016Year
2_M
ater
nal a
nd w
omen
's h
ealth
1_Im
pact Maternal
mortality infacility ratio
2_O
utco
me
Antenatal 1stvisit before 20weeks rate
Couple yearprotection rate(WHO)
Delivery infacility under 18years rate
Motherpostnatal visitwithin 6 daysrate
3_O
utpu
t
Antenatal clientinitiated on ARTrate
Cervical cancerscreeningcoverage
0
200
400
600
800
20
40
60
80
100
200
5
10
15
0
100
200
50
100
150
200
50
100
150
GP, DC48, West Rand District Municipality, SEQ 4 (well off)
GP, DC48, West Rand District Municipality, SEQ 4 (well off)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
392
Section B: National and District Profiles
392
Section B: Profile Gauteng Province
Child and School Health Annual trends
Im
pact
Out
com
eO
utpu
t
Chi
ld u
nder
5
year
s di
arrh
oea
case
fata
lity
rate
(%)
Chi
ld u
nder
5
year
s pn
eum
onia
ca
se fa
talit
y ra
te (%
)
Chi
ld u
nder
5
year
s se
vere
acu
te
mal
nutr
ition
ca
se fa
talit
y ra
te (%
)
Inpa
tient
de
ath
unde
r 1
year
rate
(%)
Inpa
tient
de
ath
unde
r 5
year
rate
(%)
Inpa
tient
ea
rly n
eona
tal
deat
h ra
te
(per
1K)
Inpa
tient
ne
onat
al
deat
h ra
te
(per
1K)
Infa
nt P
CR
test
pos
itive
ar
ound
10
wee
ks ra
te
(%)
Imm
unis
atio
n co
vera
ge
unde
r 1 y
ear
(%)
Infa
nt
excl
usiv
ely
brea
stfe
d at
D
TaP-
IPV-
Hib
-HB
V 3rd
do
se ra
te (%
)
Mea
sles
2nd
dos
e co
vera
ge (%
)
Scho
ol G
rade
1
scre
enin
g co
vera
ge (%
)
Scho
ol G
rade
8
scre
enin
g co
vera
ge (%
)
Vita
min
A
dose
12-
59
mon
ths
cove
rage
(%)
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
Mer
afon
g C
ity S
DIn
dica
tor
3.2
4.1
6.3
7.0
4.0
8.8
8.8
3.8
90.0
65.5
109.
162
.540
.869
.8
Num
erat
or3
41
3040
2525
262
695
1 93
43
310
2 16
11
162
16 9
96
Den
omin
ator
9397
1642
899
22
830
2 83
069
235
949
2 95
136
393
3 45
92
848
292
128
Mog
ale
City
SD
Indi
cato
r3.
22.
011
.012
.09.
911
.616
.34.
110
9.1
48.9
113.
367
.445
.763
.9
Num
erat
or13
1519
213
259
120
169
635
548
3 34
05
994
4 32
02
467
27 8
85
Den
omin
ator
406
742
172
1 78
12
604
10 3
6410
364
1 53
260
999
6 83
763
507
6 41
25
398
523
662
Ran
dfon
tein
SD
Indi
cato
r -
- -
- -
- -
0.8
120.
058
.413
1.4
85.5
115.
568
.4
Num
erat
or -
- -
- -
- -
32
517
1 55
72
850
2 32
82
520
12 2
94
Den
omin
ator
- -
- -
- 69
169
137
625
164
2 66
626
034
2 72
22
182
215
802
Wes
tona
ria S
DIn
dica
tor
- -
-10
0.0
100.
01.
21.
20.
795
.861
.110
6.5
129.
094
.674
.4
Num
erat
or -
- -
11
11
41
763
1 16
91
937
2 33
71
201
10 5
90
Den
omin
ator
- -
-1
185
485
456
122
083
1 91
321
822
1 81
21
270
170
844
Wes
t Ran
d In
dica
tor
3.2
2.3
10.6
11.0
8.3
9.9
13.2
3.0
104.
255
.711
4.4
77.4
62.8
67.6
Num
erat
or16
1920
244
300
146
195
9612
523
8 00
014
091
11 1
467
350
67 7
65
Den
omin
ator
499
839
188
2 21
03
597
14 7
3914
739
3 16
114
4 19
514
367
147
756
172
860
140
376
1 20
2 43
6
Gau
teng
Indi
cato
r1.
71.
56.
59.
76.
710
.013
.61.
796
.744
.010
5.7
49.5
35.4
61.5
Sout
h Af
rica
Indi
cato
r2.
02.
08.
06.
34.
49.
912
.41.
382
.341
.696
.233
.019
.858
.0
Sour
ce:
DH
IS.
2009 2010 2011 2012 2013 2014 2015 2016Year
4_H
IV
4_P
roce
ss_i
nput
HIV testingcoverage(including ANC)
Male condomdistributioncoverage
Medical malecircumcisionrate
20
40
60
100
200
0
20
40
6080
GP, DC48, West Rand District Municipality, SEQ 4 (well off)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
Section B: National and District Profiles
393
Section B: Profile Gauteng Province
393
HIV
3rd 9
0-90
-90
2nd 9
0-90
-90
1st 90
-90-
90
Out
com
eO
utpu
tPr
oces
s &
inpu
t
Adu
lt w
ith v
iral
load
com
plet
ion
rate
at 1
2 m
onth
s (%
)
Chi
ld w
ith v
iral
load
com
plet
ion
rate
at 1
2 m
onth
s (%
)
Adu
lt w
ith v
iral
load
sup
pres
sed
rate
12
mon
ths
(%)
Chi
ld w
ith v
iral
load
sup
pres
sed
rate
12
mon
ths
(%)
Adu
lt pe
rcen
tage
on
AR
T af
ter 1
2 m
onth
s (%
)
Chi
ld p
erce
ntag
e on
AR
T af
ter 1
2 m
onth
s (%
)C
lient
s re
mai
ning
on
AR
T ra
te (%
)
HIV
test
pos
itive
cl
ient
15
year
s an
d ol
der r
ate
(incl
udin
g A
NC
) (%
)
HIV
test
ing
cove
rage
(in
clud
ing
AN
C)
(%)
Mal
e co
ndom
di
strib
utio
n co
vera
ge (N
o)
Med
ical
mal
e ci
rcum
cisi
on ra
te
(per
1K)
2015
2015
2015
2015
2015
2015
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
Mer
afon
g C
ity S
DIn
dica
tor
73.1
66.7
74.0
47.4
73.4
71.4
- -
34.1
18.2
8.6
Num
erat
or -
38 -
18 -
50 -
-42
909
1 61
9 27
083
2
Den
omin
ator
2 26
057
1 65
238
3 33
170
- -
1 50
9 61
51
069
368
1 16
3 10
0
Mog
ale
City
SD
Indi
cato
r75
.875
.762
.137
.772
.665
.3 -
-31
.948
.537
.2
Num
erat
or -
53 -
20 -
32 -
-72
011
7 32
5 69
66
139
Den
omin
ator
3 36
370
2 54
953
4 78
849
- -
2 70
8 94
31
813
185
1 98
2 28
9
Ran
dfon
tein
SD
Indi
cato
r71
.489
.267
.930
.374
.360
.0 -
-57
.270
.619
.5
Num
erat
or -
33 -
10 -
9 -
-51
301
4 33
3 90
01
317
Den
omin
ator
1 23
437
881
331
720
15 -
-1
076
706
736
674
812
478
Wes
tona
ria S
DIn
dica
tor
60.3
14.3
76.3
100.
076
.925
.0 -
-53
.612
2.7
40.2
Num
erat
or -
2 -
2 -
2 -
-39
159
6 13
7 23
72
181
Den
omin
ator
650
1439
22
861
8 -
-87
6 50
760
0 21
365
1 68
1
Wes
t Ran
d In
dica
tor
72.9
70.8
67.6
39.7
73.5
65.5
58.9
8.3
39.9
55.2
27.3
Num
erat
or -
126
-50
-93
65 2
1018
433
205
380
19 4
16 1
0310
469
Den
omin
ator
7 50
717
85
474
126
10 7
0014
211
0 66
222
3 39
06
171
771
4 21
9 44
04
609
548
Gau
teng
Indi
cato
r72
.670
.175
.554
.372
.181
.445
.610
.329
.736
.619
.3
Sout
h Af
rica
Indi
cato
r -
- -
- -
- 55
.08.
235
.947
.519
.0
Sour
ce:
DH
IS.
Annual trends
2009 2010 2011 2012 2013 2014 2015 2016Year
5_TB
1_Im
pact
TB death rate(ETR.net)
TB DR clientdeath rate(EDRWeb)
2_O
utco
me
TB client lost tofollow up rate(ETR.Net)
TB clienttreatmentsuccess rate(ETR.net)
TB DR clientloss to follow uprate (EDRWeb)
TB DRtreatmentsuccess rate(EDRWeb)
TB Rifampicinresistanceconfirmed clientrate
TB/HIVco-infectedclient on ARTrate (ETR.Net)
4_P
roce
ss_i
nput
TB symptom 5years and olderscreened infacility rate
5
10
15
0
20
40
60
0
5
10
15
40
60
80
0
20
40
0
20
40
60
0
10
20
0
50
100
0
50
100
GP, DC48, West Rand District Municipality, SEQ 4 (well off)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
394
Section B: National and District Profiles
394
Section B: Profile Gauteng Province
TB
Im
pact
Out
com
eO
utpu
tPr
oces
s &
inpu
t
TB d
eath
rate
(E
TR.n
et) (
%)
TB D
R cl
ient
de
ath
rate
(E
DR
Web
) (%
)
TB c
lient
loss
to
follo
w u
p ra
te
(ETR
.Net
) (%
)
TB c
lient
tr
eatm
ent
succ
ess
rate
(E
TR.n
et) (
%)
TB D
R cl
ient
loss
to
follo
w u
p ra
te
(ED
RW
eb) (
%)
TB D
R tr
eatm
ent
succ
ess
rate
(E
DR
Web
) (%
)
TB R
ifam
pici
n re
sist
ance
co
nfirm
ed c
lient
ra
te (%
)
TB R
ifam
pici
n re
sist
ant c
lient
s tr
eatm
ent
initi
atio
n ra
te (%
)
TB/H
IV c
o-in
fect
ed c
lient
on
AR
T ra
te (E
TR.
Net
) (%
)
TB c
lient
initi
ated
on
trea
tmen
t ra
te (%
)
TB s
ympt
om 5
ye
ars
and
olde
r sc
reen
ed in
fa
cilit
y ra
te (%
)
2015
2014
2015
2015
2014
2014
2016
2016
2016
2016
2016
/17
Mer
afon
g C
ity S
DIn
dica
tor
6.9
-2.
586
.6 -
- -
-10
0.0
-11
0.1
Num
erat
or94
-34
1 17
2 -
- -
-61
5 -
392
304
Den
omin
ator
1 35
3 -
1 35
31
353
- -
- -
615
-35
6 20
5
Mog
ale
City
SD
Indi
cato
r7.
3 -
3.0
88.2
- -
- -
100.
0 -
102.
5
Num
erat
or89
-36
1 07
2 -
- -
-79
8 -
597
386
Den
omin
ator
1 21
6 -
1 21
61
216
- -
- -
798
-58
3 01
2
Ran
dfon
tein
SD
Indi
cato
r7.
4 -
2.1
89.1
- -
- -
100.
0 -
110.
7
Num
erat
or35
-10
424
- -
- -
258
-25
6 77
8
Den
omin
ator
476
-47
647
6 -
- -
-25
8 -
231
984
Wes
tona
ria S
DIn
dica
tor
4.8
-4.
678
.7 -
- -
-88
.8 -
95.3
Num
erat
or28
-27
458
- -
- -
254
-23
0 40
8
Den
omin
ator
582
-58
258
2 -
- -
-28
6 -
241
836
Wes
t Ran
d In
dica
tor
6.8
32.9
3.0
86.2
17.6
44.7
5.6
49.4
98.4
80.7
104.
5
Num
erat
or24
628
107
3 12
615
3816
883
1 92
52
430
1 47
6 87
6
Den
omin
ator
3 62
785
3 62
73
627
8585
3 01
216
81
957
3 01
21
413
037
Gau
teng
Indi
cato
r6.
320
.25.
984
.915
.955
.65.
755
.690
.380
.071
.9
Sout
h Af
rica
Indi
cato
r6.
623
.06.
481
.017
.950
.56.
268
.088
.372
.851
.6
Sour
ce:
DH
IS.
Annual trends
2010 2011 2012 2013 2014 2015 2016 2017Year
6_NCDs
2_Outcome
Diabetesincidence
Hypertensionincidence
0
5
20
40
GP, DC48, West Rand District Municipality, SEQ 4 (well off)
Measure NamesIndValueProv_avZA_av
Section B: National and District Profiles
395
Section B: Profile Gauteng Province
395
Non-communicable diseases
Outcome
Diabetes incidence
(per1K)
Hypertension incidence
(per1K)
2016/17 2016/17
Merafong City SD Indicator 1.2 15.1
Numerator 263 1 162
Denominator 2 552 307 925 020
Mogale City SD Indicator 4.0 15.6
Numerator 1 562 2 203
Denominator 4 705 845 1 693 065
Randfontein SD Indicator 1.4 12.7
Numerator 237 796
Denominator 1 963 827 752 430
Westonaria SD Indicator 1.6 16.5
Numerator 192 633
Denominator 1 421 553 461 283
West Rand Indicator 2.5 15.0
Numerator 2 254 4 794
Denominator 10 643 532 3 831 798
Gauteng Indicator 3.2 19.8
South Africa Indicator 2.5 18.9
Source: DHIS.
Annual trends
Sub-district value in red – improvement strategies are urgently needed
Value highlighted in yellow – performance is ranked among the 10 best in the country
Value highlighted in red – performance is ranked among the 10 worst in the country
396
Section B: National and District Profiles
396
Section B: Profile Gauteng Province
Ekurhuleni Metropolitan Municipality (EKU)
Ekurhuleni Metro in Gauteng Province has a population of 3 393 561, with a population density of 1 718 people per km2. It comprises six health sub-districts, namely Ekurhuleni E1 and E2, Ekurhuleni N1 and N2, and Ekurhuleni S1 and S2, and falls in socio-economic Quintile 5 among the wealthiest districts. Estimated medical scheme coverage is 24.8%.
Social determinants of healtha
Unemployment ratea 28.8%
Youth unemployment rate (15-34 years)a 36.9%
No schooling 4.1%
Matric 38.5%
Higher education 11.9%
Households 1 299 490
Female-headed households 32.8%
Formal dwellings 80.4%
Flush toilet connected to sewerage 85.4%
Weekly refuse removal 84.8%
Piped water inside dwellings 56.5%
Electricity for lighting 85.4%
Blue Drop water score 96.6%
Source: StatsSA. 2014 Blue Drop Report.
Population distribution sub-district boundaries and health facility locations
a Statistics South Africa. Census 2011 Municipal fact sheet. Report No. 03-01-58. Pretoria: Statistics SA; 2012.
For the percentage of deaths by broad cause, deaths are classified into four groups namely: (i) injuries; (ii) non-communicable diseases; (iii) HIV and TB; and (iv) communicable diseases together with maternal perinatal and nutritional conditions. Data are given by gender and age group for the period 2010–2015. The second part of the graph shows the 10 leading single causes of death within each age group (both genders) for 2010–2015 combined.
Percentage of deaths by broad cause and leading causes 2010–2015
Sub-district value in red – improvement strategies are urgently needed
Value highlighted in yellow – performance is ranked among the 10 best in the country
Value highlighted in red – performance is ranked among the 10 worst in the country
408
Section B: National and District Profiles
408
Section B: Profile Gauteng Province
Johannesburg Metropolitan Municipality (JHB)
Located in the heart of Gauteng Province, Johannesburg Metro is the most populous city in South Africa, with a population of 5 006 517 and a population density of 3 044 persons per km2. The district is divided into seven health sub-districts, named Johannesburg Sub-district A to Johannesburg Sub-district E. The district falls in socio-economic Quintile 5, among the wealthiest districts. Estimated medical scheme coverage is 25.0%.
Social determinants of healtha
Unemployment ratea 25.0%
Youth unemployment rate (15-34 years)a 31.5%
No schooling 3.4%
Matric 38.5%
Higher education 14.7%
Households 1 853 371
Female-headed households 37.7%
Formal dwellings 81.3%
Flush toilet connected to sewerage 88.6%
Weekly refuse removal 85.4%
Piped water inside dwellings 60.3%
Electricity for lighting 90.9%
Blue Drop water score 96.1%
Source: StatsSA. 2014 Blue Drop Report.
Population distribution sub-district boundaries and health facility locations
a Statistics South Africa. Census 2011 Municipal fact sheet. Report No. 03-01-58. Pretoria: Statistics SA; 2012.
For the percentage of deaths by broad cause, deaths are classified into four groups namely: (i) injuries; (ii) non-communicable diseases; (iii) HIV and TB; and (iv) communicable diseases together with maternal perinatal and nutritional conditions. Data are given by gender and age group for the period 2010–2015. The second part of the graph shows the 10 leading single causes of death within each age group (both genders) for 2010–2015 combined.
Percentage of deaths by broad cause and leading causes 2010–2015
GP, JHB, City of Johannesburg Metropolitan Municipality, SEQ 5 (leastdeprived)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
2009 2010 2011 2012 2013 2014 2015 2016Year
2_M
ater
nal a
nd w
omen
's h
ealth
1_Im
pact Maternal
mortality infacility ratio
2_O
utco
me
Antenatal 1stvisit before 20weeks rate
Couple yearprotection rate(WHO)
Delivery infacility under 18years rate
Motherpostnatal visitwithin 6 daysrate
3_O
utpu
t
Antenatal clientinitiated on ARTrate
Cervical cancerscreeningcoverage
0
200
400
600
800
20
40
60
80
100
200
5
10
15
0
100
200
50
100
150
200
50
100
150
GP, JHB, City of Johannesburg Metropolitan Municipality, SEQ 5 (leastdeprived)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
414
Section B: National and District Profiles
414
Section B: Profile Gauteng Province
Annual trends Maternal and Women’s Health Annual trends Child and School Health
Section B: National and District Profiles
415
Section B: Profile Gauteng Province
415
Im
pact
Out
com
eO
utpu
t
Chi
ld u
nder
5
year
s di
arrh
oea
case
fata
lity
rate
(%)
Chi
ld u
nder
5
year
s pn
eum
onia
ca
se fa
talit
y ra
te (%
)
Chi
ld u
nder
5
year
s se
vere
acu
te
mal
nutr
ition
ca
se fa
talit
y ra
te (%
)
Inpa
tient
de
ath
unde
r 1
year
rate
(%)
Inpa
tient
de
ath
unde
r 5
year
rate
(%)
Inpa
tient
ea
rly n
eona
tal
deat
h ra
te
(per
1K)
Inpa
tient
ne
onat
al
deat
h ra
te
(per
1K)
Infa
nt P
CR
test
pos
itive
ar
ound
10
wee
ks ra
te
(%)
Imm
unis
atio
n co
vera
ge
unde
r 1 y
ear
(%)
Infa
nt
excl
usiv
ely
brea
stfe
d at
D
TaP-
IPV-
Hib
-HB
V 3rd
do
se ra
te (%
)
Mea
sles
2nd
dos
e co
vera
ge (%
)
Scho
ol G
rade
1
scre
enin
g co
vera
ge (%
)
Scho
ol G
rade
8
scre
enin
g co
vera
ge (%
)
Vita
min
A
dose
12-
59
mon
ths
cove
rage
(%)
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
Joha
nnes
burg
A
SDIn
dica
tor
- -
- -
- -
-0.
873
.332
.483
.65.
87.
342
.9
Num
erat
or -
- -
- -
- -
1810
462
4 24
211
289
392
270
43 0
34
Den
omin
ator
- -
- -
-66
866
82
210
171
219
13 0
9316
2 07
26
752
3 67
61
203
492
Joha
nnes
burg
B
SDIn
dica
tor
-1.
23.
75.
34.
111
.313
.92.
196
.037
.210
2.1
13.3
3.0
41.8
Num
erat
or -
108
203
244
142
175
113
302
1 39
23
683
659
118
12 7
71
Den
omin
ator
815
817
214
3 85
95
886
12 5
5112
551
517
41 2
623
746
43 3
024
970
3 98
136
7 01
4
Joha
nnes
burg
C
SD
Indi
cato
r -
- -
- -
- -
0.5
53.4
58.6
62.9
22.4
17.0
34.7
Num
erat
or -
- -
- -
- -
65
965
4 03
57
092
1 74
391
231
503
Den
omin
ator
- -
- -
-89
589
51
091
133
923
6 88
313
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769
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968
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SD
Indi
cato
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Num
erat
or16
911
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2920
945
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015
4 67
12
167
140
803
Den
omin
ator
1 24
51
350
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942
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4 41
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2 22
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225
123
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1 90
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0
Joha
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E
SDIn
dica
tor
3.5
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140.
744
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0.7
15.3
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Num
erat
or3
122
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105
7 56
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943
Den
omin
ator
8549
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184
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90 1
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4 48
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4
Joha
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F
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tor
3.3
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911
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143.
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Num
erat
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387
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omin
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881
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312
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Joha
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G
SD
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cato
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100.
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89.9
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97.6
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erat
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- -
11
11
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omin
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696
Joha
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In
dica
tor
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Num
erat
or24
3221
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9
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teng
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71.
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.0
Sour
ce:
DH
IS.
Child and School Health
416
Section B: National and District Profiles
416
Section B: Profile Gauteng Province
HIV
3rd
90-
90-9
02nd
90-
90-9
01st
90-9
0-90
Out
com
eO
utpu
tPr
oces
s &
inpu
t
Adu
lt w
ith v
iral
load
com
plet
ion
rate
at 1
2 m
onth
s (%
)
Chi
ld w
ith v
iral
load
com
plet
ion
rate
at 1
2 m
onth
s (%
)
Adu
lt w
ith v
iral
load
sup
pres
sed
rate
12
mon
ths
(%)
Chi
ld w
ith v
iral
load
sup
pres
sed
rate
12
mon
ths
(%)
Adu
lt pe
rcen
tage
on
AR
T af
ter 1
2 m
onth
s (%
)
Chi
ld p
erce
ntag
e on
AR
T af
ter 1
2 m
onth
s (%
)C
lient
s re
mai
ning
on
AR
T ra
te (%
)
HIV
test
pos
itive
cl
ient
15
year
s an
d ol
der r
ate
(incl
udin
g A
NC
) (%
)
HIV
test
ing
cove
rage
(in
clud
ing
AN
C)
(%)
Mal
e co
ndom
di
strib
utio
n co
vera
ge (N
o)
Med
ical
mal
e ci
rcum
cisi
on ra
te
(per
1K)
2015
2015
2015
2015
2015
2015
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
Joha
nnes
burg
A S
DIn
dica
tor
71.2
66.7
83.5
70.5
66.4
81.5
- -
26.6
27.6
30.8
Num
erat
or -
44 -
31 -
141
- -
122
940
7 90
0 31
49
524
Den
omin
ator
4 66
366
3 32
144
7 47
217
3 -
-5
551
392
3 43
4 80
23
715
734
Joha
nnes
burg
B S
DIn
dica
tor
66.5
84.6
74.3
55.7
79.9
84.2
- -
11.9
36.1
16.5
Num
erat
or -
88 -
49 -
219
- -
23 1
074
824
336
2 40
3
Den
omin
ator
2 69
210
41
790
883
587
260
- -
2 33
1 46
51
605
411
1 74
7 29
0
Joha
nnes
burg
C S
DIn
dica
tor
69.6
60.9
70.2
42.9
71.7
73.9
- -
19.5
20.7
32.6
Num
erat
or -
14 -
6 -
65 -
-82
292
5 66
1 72
29
759
Den
omin
ator
2 79
523
1 94
614
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688
- -
5 05
9 23
63
274
416
3 59
6 85
0
Joha
nnes
burg
D S
DIn
dica
tor
67.8
64.1
83.9
58.4
71.6
81.7
- -
27.4
20.1
23.0
Num
erat
or -
125
-73
-35
2 -
-19
6 49
39
413
629
11 9
46
Den
omin
ator
11 3
6219
57
708
125
16 8
2243
1 -
-8
614
659
5 61
1 19
76
233
511
Joha
nnes
burg
E S
DIn
dica
tor
56.1
54.8
88.9
67.6
72.8
80.6
- -
35.9
20.3
9.6
Num
erat
or -
34 -
23
129
- -
113
515
4 26
4 41
52
185
Den
omin
ator
3 13
862
1 76
134
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816
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-3
799
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2 51
9 30
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731
953
Joha
nnes
burg
F S
DIn
dica
tor
57.2
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68.3
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81.9
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107.
517
.2
Num
erat
or -
101
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531
953
637
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3
Den
omin
ator
7 68
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34
396
101
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7037
5 -
-5
591
532
3 56
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03
841
488
Joha
nnes
burg
G S
DIn
dica
tor
64.5
62.3
86.7
72.3
73.0
84.1
- -
18.2
6.0
16.0
Num
erat
or -
101
-73
30
2 -
-77
071
1 61
9 49
14
914
Den
omin
ator
5 85
816
23
781
101
8 36
835
9 -
-5
070
240
3 22
5 42
93
685
113
Joha
nnes
burg
In
dica
tor
64.7
66.3
84.1
63.9
71.8
82.1
45.7
11.2
25.0
33.9
21.7
Num
erat
or -
507
-32
4
1 51
529
1 96
590
395
751
633
65 6
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4446
224
Den
omin
ator
38 1
8876
524
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507
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631
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1523
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839
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39
Gau
teng
Indi
cato
r72
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Sout
h Af
rica
Indi
cato
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235
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.0
Sour
ce:
DH
IS.
Meas ure NamesIndV alue
P rov_av
ZA_av
2009 2010 2011 2012 2013 2014 2015 2016Year
5_TB
1_Im
pact
TB death rate(ETR.net)
TB DR clientdeath rate(EDRWeb)
2_O
utco
me
TB client lost tofollow up rate(ETR.Net)
TB clienttreatmentsuccess rate(ETR.net)
TB DR clientloss to follow uprate (EDRWeb)
TB DRtreatmentsuccess rate(EDRWeb)
TB Rifampicinresistanceconfirmed clientrate
TB/HIVco-infectedclient on ARTrate (ETR.Net)
4_P
roce
ss_i
nput
TB symptom 5years and olderscreened infacility rate
5
10
15
0
20
40
60
0
5
10
15
40
60
80
0
20
40
0
20
40
60
0
10
20
0
50
100
0
50
100
GP, JHB, City of Johannesburg Metropolitan Municipality, SEQ 5 (leastdeprived)
Measure NamesIndValueProv_avZA_av
2009 2010 2011 2012 2013 2014 2015 2016Year
4_H
IV
4_P
roce
ss_i
nput
HIV testingcoverage(including ANC)
Male condomdistributioncoverage
Medical malecircumcisionrate
20
40
60
100
200
0
20
40
6080
GP, JHB, City of Johannesburg Metropolitan Municipality, SEQ 5 (leastdeprived)
Measure NamesIndValueProv_avZA_av
Section B: National and District Profiles
417
Section B: Profile Gauteng Province
417
Annual trends HIV
Annual trends TB
418
Section B: National and District Profiles
418
Section B: Profile Gauteng Province
TB
Im
pact
Out
com
eO
utpu
tPr
oces
s &
inpu
t
TB d
eath
rate
(E
TR.n
et) (
%)
TB D
R cl
ient
de
ath
rate
(E
DR
Web
) (%
)
TB c
lient
loss
to
follo
w u
p ra
te
(ETR
.Net
) (%
)
TB c
lient
tr
eatm
ent
succ
ess
rate
(E
TR.n
et) (
%)
TB D
R cl
ient
loss
to
follo
w u
p ra
te
(ED
RW
eb) (
%)
TB D
R tr
eatm
ent
succ
ess
rate
(E
DR
Web
) (%
)
TB R
ifam
pici
n re
sist
ance
co
nfirm
ed c
lient
ra
te (%
)
TB R
ifam
pici
n re
sist
ant c
lient
s tr
eatm
ent
initi
atio
n ra
te (%
)
TB/H
IV c
o-in
fect
ed c
lient
on
AR
T ra
te (E
TR.
Net
) (%
)
TB c
lient
initi
ated
on
trea
tmen
t ra
te (%
)
TB s
ympt
om 5
ye
ars
and
olde
r sc
reen
ed in
fa
cilit
y ra
te (%
)
2015
2014
2015
2015
2014
2014
2016
2016
2016
2016
2016
/17
Joha
nnes
burg
A S
DIn
dica
tor
5.2
-5.
187
.7 -
- -
-95
.9 -
76.8
Num
erat
or11
4 -
113
1 94
1 -
- -
-1
207
-55
1 86
9
Den
omin
ator
2 21
2 -
2 21
22
212
- -
- -
1 25
9 -
718
173
Joha
nnes
burg
B S
DIn
dica
tor
3.7
-5.
887
.1 -
- -
-96
.1 -
85.1
Num
erat
or22
-34
515
- -
- -
372
-18
2 87
1
Den
omin
ator
591
-59
159
1 -
- -
-38
7 -
214
996
Joha
nnes
burg
C S
DIn
dica
tor
3.7
-5.
987
.9 -
- -
-93
.0 -
43.8
Num
erat
or40
-63
941
- -
- -
614
-28
1 06
1
Den
omin
ator
1 07
0 -
1 07
01
070
- -
- -
660
-64
1 34
0
Joha
nnes
burg
D S
DIn
dica
tor
5.6
-6.
785
.7 -
- -
-89
.2 -
53.0
Num
erat
or30
5 -
363
4 65
7 -
- -
-2
815
-1
253
252
Den
omin
ator
5 43
6 -
5 43
65
436
- -
- -
3 15
6 -
2 36
3 07
5
Joha
nnes
burg
E S
DIn
dica
tor
4.6
-6.
086
.7 -
- -
-87
.4 -
90.9
Num
erat
or77
-99
1 43
7 -
- -
-97
2 -
402
437
Den
omin
ator
1 65
8 -
1 65
81
658
- -
- -
1 11
2 -
442
693
Joha
nnes
burg
F S
DIn
dica
tor
2.4
-8.
284
.7 -
- -
-87
.1 -
64.1
Num
erat
or65
-22
32
317
- -
- -
1 34
1 -
546
134
Den
omin
ator
2 73
5 -
2 73
52
735
- -
- -
1 54
0 -
851
609
Joha
nnes
burg
G S
DIn
dica
tor
6.3
-5.
487
.2 -
- -
-93
.2 -
38.4
Num
erat
or18
6 -
159
2 58
0 -
- -
-1
675
-40
7 54
1
Den
omin
ator
2 95
8 -
2 95
82
958
- -
- -
1 79
7 -
1 06
2 36
6
Joha
nnes
burg
In
dica
tor
4.9
20.0
6.3
86.4
13.2
58.3
5.4
58.2
90.8
77.1
57.6
Num
erat
or80
913
31
054
14 3
8888
388
701
408
8 99
69
971
3 62
5 16
5
Den
omin
ator
16 6
6066
616
660
16 6
6066
666
612
929
701
9 91
112
929
6 29
4 25
2
Gau
teng
Indi
cato
r6.
320
.25.
984
.915
.955
.65.
755
.690
.380
.071
.9
Sout
h Af
rica
Indi
cato
r6.
623
.06.
481
.017
.950
.56.
268
.088
.372
.851
.6
Sour
ce:
DH
IS.
2010 2011 2012 2013 2014 2015 2016 2017Year
6_NCDs
2_Outcome
Diabetesincidence
Hypertensionincidence
0
5
20
40
GP, JHB, City of Johannesburg Metropolitan Municipality, SEQ 5 (leastdeprived)
Measure NamesIndValueProv_avZA_av
Section B: National and District Profiles
419
Section B: Profile Gauteng Province
419
Non-communicable diseases
Outcome
Diabetes incidence
(per1K)
Hypertension incidence
(per1K)
2016/17 2016/17
Johannesburg A SD Indicator 1.2 16.4
Numerator 849 2 950
Denominator 8 376 789 2 156 385
Johannesburg B SD Indicator 0.6 5.8
Numerator 194 881
Denominator 4 158 342 1 830 411
Johannesburg C SD Indicator 2.0 10.4
Numerator 1 471 2 592
Denominator 8 622 282 2 995 431
Johannesburg D SD Indicator 2.2 23.0
Numerator 2 788 9 813
Denominator 15 080 421 5 114 091
Johannesburg E SD Indicator 0.4 6.7
Numerator 240 1 363
Denominator 6 479 637 2 448 087
Johannesburg F SD Indicator 2.2 12.1
Numerator 1 597 2 684
Denominator 8 638 050 2 656 200
Johannesburg G SD Indicator 13.6 28.9
Numerator 10 284 6 908
Denominator 9 096 375 2 863 584
Johannesburg Indicator 3.5 16.3
Numerator 17 423 27 191
Denominator 60 451 896 20 064 189
Gauteng Indicator 3.2 19.8
South Africa Indicator 2.5 18.9
Source: DHIS.
Annual trends
Sub-district value in red – improvement strategies are urgently needed
Value highlighted in yellow – performance is ranked among the 10 best in the country
Value highlighted in red – performance is ranked among the 10 worst in the country
420
Section B: National and District Profiles
420
Section B: Profile Gauteng Province
Tshwane Metropolitan Municipality (TSH)
Tshwane is situated in Gauteng Province and is divided into seven health sub-districts, named Tshwane Sub-district 1 to Tshwane Sub-district 7. It has a population of 3 323 240, with a population density of 527.7 people per km2, and falls in socio-economic Quintile 5, among the wealthiest districts. Estimated medical scheme coverage is 30.5%. It is one of 11 National Health Insurance (NHI) pilot districts.
Social determinants of healtha
Unemployment ratea 24.2%
Youth unemployment rate (15-34 years)a 32.6%
No schooling 5.4%
Matric 38.5%
Higher education 19.8%
Households 1 136 877
Female-headed households 37.5%
Formal dwellings 82.6%
Flush toilet connected to sewerage 77.2%
Weekly refuse removal 79.4%
Piped water inside dwellings 62.1%
Electricity for lighting 91.8%
Blue Drop water score 94.4%
Source: StatsSA. 2014 Blue Drop Report.
Population distribution sub-district boundaries and health facility locations
a Statistics South Africa. Census 2011 Municipal fact sheet. Report No. 03-01-58. Pretoria: Statistics SA; 2012.
For the percentage of deaths by broad cause, deaths are classified into four groups namely: (i) injuries; (ii) non-communicable diseases; (iii) HIV and TB; and (iv) communicable diseases together with maternal perinatal and nutritional conditions. Data are given by gender and age group for the period 2010–2015. The second part of the graph shows the 10 leading single causes of death within each age group (both genders) for 2010–2015 combined.
Percentage of deaths by broad cause and leading causes 2010–2015
2009 2010 2011 2012 2013 2014 2015 2016Year
2_M
ater
nal a
nd w
omen
's h
ealth
1_Im
pact Maternal
mortality infacility ratio
2_O
utco
me
Antenatal 1stvisit before 20weeks rate
Couple yearprotection rate(WHO)
Delivery infacility under 18years rate
Motherpostnatal visitwithin 6 daysrate
3_O
utpu
t
Antenatal clientinitiated on ARTrate
Cervical cancerscreeningcoverage
0
200
400
600
800
20
40
60
80
100
200
5
10
15
0
100
200
50
100
150
200
50
100
150
GP, TSH, City of Tshwane Metropolitan Municipality, SEQ 5 (least deprived)