Climate Vulnerability Index for Municipalities

Why this ranking

This report ranks 747 official political subdivisions — boroughs, districts, qisms, thanas, municipi, baladiyat — on the same ivc-l4-v1 metric as the city reports. Venustiano Carranza (Mexico City) leads at 82.6/100. Marsilac (Sao Paulo) is last at 0.0/100.

The justification is operational: heat response, shade and paving are decided at this grain, not at the metropolitan mean. The index is not weighted by population or area. A 4 km² alcaldía can outrank a 400 km² peri-urban district; that is intended.

Why units from 18 cities can share one list

Each z uses a fixed cap (43 °C, NDVI 0.05–0.55, SUHI 15 °C). The list is therefore a comparable surface-exposure ranking, not a league of incomparable local indices. Priority 1–3 only chose which cities to measure; it does not reorder the units.

Four methods

1. Per-pixel maximum LST

Same Landsat composite as the city reports. z_max = urban fraction of the unit with pixel-max LST > 43 °C.

2. Mean LST of observations

z_mean = urban fraction with composite-mean LST > 43 °C.

3. Vegetation (NDVI)

z_NDVI inv inverts mean urban NDVI on a fixed 0.05–0.55 scale.

4. Heat island (SUHI)

SUHI uses that city’s rural T, not a global rural T. z_SUHI clips at 0 and 15 °C. A unit in Ahmedabad is not rewarded for being cooler than a 48 °C rural desert.

Comparable metric ivc-l4-v1. IVC = 100 × mean of the four z scores. Unit median 23.8. Widest intra-city range: Mexico City (11.3–82.6).

Top 25 subdivisions

25 highest IVC units. Source: Landsat 8/9, April–May 2026.

Components of the 15 highest units. Each segment is 25 × z.

Intra-city range

Maximum minus minimum IVC inside each city polygon.

City	n	Min	Max	Range
Mexico City	16	11.3	82.6	71.3
Paris	20	8.0	57.7	49.7
Los Angeles	30	15.0	64.2	49.2
Singapore	55	0.3	47.2	47.0
Monterrey	13	0.4	46.8	46.4
Karachi	24	17.0	59.3	42.3
Cairo	41	26.2	68.1	41.9
Dhaka	41	4.7	45.6	40.9
Tehran	22	15.8	53.5	37.7
Casablanca	16	19.9	54.6	34.7
Barcelona	10	11.3	45.2	33.9
Sao Paulo	96	0.0	33.3	33.3
Lagos	20	5.9	38.5	32.6
Mumbai	14	22.9	51.9	29.0
Phoenix	15	43.6	71.2	27.6
Dubai	7	32.8	59.9	27.0
Johannesburg	135	1.3	26.1	24.9
Wuhan	13	1.8	25.6	23.8
Madrid	21	5.0	28.6	23.6
Montpellier	7	18.3	41.1	22.8
Delhi	11	33.2	54.9	21.8
Santiago de Chile	32	8.1	26.8	18.7
Berlin	12	3.1	19.7	16.6
Houston	11	7.9	22.7	14.7
Riyadh	14	48.0	61.9	13.9
Rome	15	0.0	12.9	12.9
Tokyo	23	15.9	28.3	12.4
Lahore	2	31.9	39.2	7.3
Ahmedabad	7	57.8	63.2	5.5
Baghdad	4	44.9	49.8	4.9

Patterns

The head of the list is eastern Mexico City (Venustiano Carranza, Iztacalco, Iztapalapa) plus Phoenix urban villages with almost no shade. Those units combine a saturated peak-LST fraction with a real heat island against a cool or only moderately hot rural reference.

Ahmedabad and Riyadh fill the next tier: almost 100% of the urban area exceeds 43 °C, but z_SUHI is 0 because the rural GHSL is as hot as the city. They rank high on three layers, not four.

Mexico City has the widest intra-city spread (11–83): conservation land versus paved east. Monterrey is next (0–47): San Pedro and the Sierra against San Nicolás. Ahmedabad is almost flat (58–63): every taluka is already a furnace.

Grain matters. Cairo’s 41 qisms and Dhaka’s 41 thanas populate the middle of the list with local contrasts. Lahore’s two tehsils and Baghdad’s four districts compress that contrast into a city mean. Read the unit list next to the city list, not instead of it.

Full ranking

#	Unit	City	P	IVC	Peak > 43 °C	Mean > 43 °C	SUHI °C	NDVI
1	Venustiano Carranza	Mexico City	1	82.6	99%	53%	+18.3	0.15
2	Iztacalco	Mexico City	1	80.5	97%	46%	+17.2	0.16
3	Iztapalapa	Mexico City	1	76.2	93%	34%	+16.4	0.17
4	Azcapotzalco	Mexico City	1	74.9	96%	30%	+16.3	0.18
5	Maryvale	Phoenix	2	71.2	99%	75%	+4.4	0.14
6	Cuauhtémoc	Mexico City	1	71.2	85%	27%	+15.8	0.19
7	Central City	Phoenix	2	71.1	100%	73%	+3.5	0.11
8	Al Tibbin	Cairo	1	68.1	95%	63%	+4.0	0.11
9	Estrella	Phoenix	2	64.8	97%	62%	+2.8	0.15
10	Tláhuac	Mexico City	1	64.3	84%	20%	+15.1	0.29
11	North Hollywood West Neighborhood Council District	Los Angeles	4	64.2	94%	9%	+12.4	0.19
12	Sabarmati	Ahmedabad	2	63.2	99%	89%	-2.3	0.22
13	Gustavo A. Madero	Mexico City	1	62.9	84%	9%	+13.0	0.19
14	North Hollywood Northeast Neighborhood Council District	Los Angeles	4	62.3	96%	5%	+11.5	0.19
15	Viramgam	Ahmedabad	2	62.2	100%	94%	+0.2	0.28
16	South Mountain	Phoenix	2	62.1	99%	56%	+2.5	0.17
17	Shifa	Riyadh	3	61.9	100%	36%	+2.5	0.07
18	Ahwatukee Foothills	Phoenix	2	61.8	99%	52%	+2.6	0.16
19	Alhambra	Phoenix	2	61.4	100%	60%	+2.5	0.20
20	Detroj-Rampura	Ahmedabad	2	61.0	100%	96%	+0.6	0.33
21	Sanand	Ahmedabad	2	60.1	100%	87%	-1.5	0.28
22	Daskroi	Ahmedabad	2	60.1	100%	88%	-2.1	0.29
23	Bavla	Ahmedabad	2	60.1	100%	89%	-0.6	0.29
24	Jebel Ali North Free Zone	Dubai	4	59.9	99%	45%	-2.1	0.07
25	Benito Juárez	Mexico City	1	59.5	83%	1%	+13.3	0.22
26	New Karachi Town	Karachi	1	59.3	100%	49%	-1.1	0.11
27	Panorama City Neighborhood Council District	Los Angeles	4	59.1	96%	2%	+10.9	0.22
28	Al Aziziyah	Riyadh	3	58.8	100%	28%	+1.7	0.07
29	Canoga Park Neighborhood Council District	Los Angeles	4	57.8	94%	3%	+10.7	0.24
30	Dholka	Ahmedabad	2	57.8	100%	85%	-2.3	0.32
31	9e arrondissement	Paris	4	57.7	100%	0%	+6.7	0.12
32	2e arrondissement	Paris	4	57.5	100%	0%	+5.8	0.09
33	Gadap Town	Karachi	1	57.4	100%	60%	-0.3	0.20
34	Al Batha	Riyadh	3	57.4	100%	24%	+1.4	0.07
35	Encanto	Phoenix	2	56.9	96%	46%	+2.1	0.20
36	Coyoacán	Mexico City	1	56.8	75%	5%	+13.8	0.27
37	Orangi Town	Karachi	1	56.4	100%	36%	-1.5	0.10
38	Winnetka Neighborhood Council District	Los Angeles	4	56.3	95%	1%	+11.4	0.29
39	Baldia Town	Karachi	1	56.1	100%	41%	-1.3	0.13
40	Arleta Neighborhood Council District	Los Angeles	4	56.1	92%	0%	+10.5	0.24
41	Bin Qasim Town	Karachi	1	56.0	90%	65%	-1.4	0.20
42	North Mountain	Phoenix	2	55.7	99%	38%	+1.4	0.17
43	As Sulay	Riyadh	3	55.0	100%	19%	+0.7	0.07
44	South West	Delhi	1	54.9	96%	70%	-0.4	0.28
45	Roches Noires	Casablanca	3	54.6	96%	0%	+7.6	0.19
46	North Hills East Neighborhood Council District	Los Angeles	4	54.0	83%	1%	+10.0	0.22
47	North West	Delhi	1	53.8	96%	60%	-1.4	0.25
48	Van Nuys Neighborhood Council District	Los Angeles	4	53.7	84%	1%	+10.1	0.24
49	Distrito 21	Tehran	2	53.5	91%	1%	+5.9	0.14
50	North Hollywood Neighborhood Council District	Los Angeles	4	53.3	86%	0%	+9.1	0.22
51	Pacoima Neighborhood Council	Los Angeles	4	52.8	80%	2%	+9.9	0.23
52	Shahdara	Delhi	1	52.7	97%	49%	-2.3	0.23
53	Site Town	Karachi	1	52.5	100%	25%	-2.3	0.12
54	10e arrondissement	Paris	4	51.9	92%	0%	+6.2	0.18
55	Karjat	Mumbai	4	51.9	95%	49%	+3.7	0.35
56	Bhiwandi	Mumbai	4	51.8	94%	37%	+2.4	0.24
57	3e arrondissement	Paris	4	51.7	99%	0%	+4.2	0.15
58	Malir Cantonment	Karachi	1	51.6	100%	42%	-1.9	0.23
59	Laveen	Phoenix	2	51.4	98%	30%	+0.8	0.19
60	10 Ramadan 2	Cairo	1	51.2	99%	3%	+1.7	0.09
61	North	Delhi	1	51.1	94%	57%	-1.9	0.28
62	Hay Mohammadi	Casablanca	3	50.8	98%	0%	+4.6	0.18
63	Granada Hills South Neighborhood Council District	Los Angeles	4	50.4	77%	1%	+10.7	0.29
64	Distrito 9	Tehran	2	50.2	85%	0%	+4.9	0.14
65	Sidi Bernoussi	Casablanca	3	50.1	92%	0%	+5.2	0.18
66	10 Ramadan 1	Cairo	1	50.1	100%	0%	+0.8	0.08
67	Namar	Riyadh	3	49.9	100%	5%	+0.0	0.08
68	Al-Thawra	Baghdad	1	49.8	99%	1%	+1.3	0.09
69	Deer Valley	Phoenix	2	49.8	100%	20%	+0.3	0.16
70	Malir	Karachi	1	49.6	100%	21%	-2.8	0.16
71	Khalapur	Mumbai	4	49.6	98%	39%	+2.9	0.34
72	Al Maathar	Riyadh	3	49.6	100%	3%	+0.5	0.09
73	North Hills West Neighborhood Council District	Los Angeles	4	49.6	76%	4%	+10.2	0.30
74	Ambarnath	Mumbai	4	49.3	98%	37%	+2.5	0.32
75	Hilwan	Cairo	1	49.2	88%	12%	+1.4	0.11
76	Al Naseem	Riyadh	3	49.2	100%	2%	-1.7	0.07
77	Al Rawda	Riyadh	3	49.2	100%	2%	-1.5	0.07
78	Hay Hassani	Casablanca	3	49.2	95%	0%	+6.3	0.25
79	Al-Risafa	Baghdad	1	49.0	94%	4%	+1.5	0.11
80	Distrito 18	Tehran	2	49.0	80%	0%	+5.2	0.14
81	Gulberg Town	Karachi	1	48.9	100%	11%	-4.8	0.13
82	Al-Urayja	Riyadh	3	48.8	100%	2%	-0.2	0.08
83	Al Shamal	Riyadh	3	48.8	100%	1%	-0.5	0.08
84	Milpa Alta	Mexico City	1	48.7	70%	5%	+12.6	0.37
85	Distrito 22	Tehran	2	48.6	91%	0%	+4.4	0.18
86	Irqah	Riyadh	3	48.6	100%	3%	-0.4	0.09
87	Olaya	Riyadh	3	48.4	100%	0%	-0.4	0.08
88	Al Malaz	Riyadh	3	48.3	99%	2%	-1.0	0.09
89	North Nazimabad Town	Karachi	1	48.1	100%	10%	-3.1	0.14
90	Sidi Moumen	Casablanca	3	48.1	100%	0%	+3.9	0.22
91	Shmeisi	Riyadh	3	48.0	100%	3%	+0.1	0.11
92	Dubai Production City	Dubai	4	47.6	99%	7%	-4.4	0.13
93	Gamaliyya	Cairo	1	47.6	99%	0%	+0.5	0.11
94	West	Delhi	1	47.5	92%	42%	-2.5	0.27
95	Distrito 19	Tehran	2	47.4	75%	0%	+5.0	0.15
96	Rio Vista	Phoenix	2	47.3	99%	12%	-1.7	0.16
97	Bedok	Singapore	4	47.2	84%	8%	+10.3	0.41
98	8e arrondissement	Paris	4	47.2	79%	0%	+6.2	0.21
99	Moulay Rachid	Casablanca	3	47.1	100%	0%	+2.2	0.18
100	Northridge South Neighborhood Council District	Los Angeles	4	47.1	65%	3%	+10.6	0.30
101	Gulshan E Iqbal Town	Karachi	1	47.1	99%	17%	-4.0	0.18
102	Al Fida	Casablanca	3	46.9	100%	0%	+2.0	0.18
103	North Gateway	Phoenix	2	46.8	100%	12%	-1.4	0.18
104	Rochor	Singapore	4	46.8	91%	0%	+6.4	0.28
105	San Nicolás de los Garza	Monterrey	2	46.8	98%	0%	+2.4	0.18
106	Liaqatabad Town	Karachi	1	46.7	100%	0%	-6.0	0.12
107	Rud Al-Farag	Cairo	1	46.5	98%	0%	-2.3	0.11
108	11e arrondissement	Paris	4	46.5	90%	0%	+4.4	0.22
109	Shubra	Cairo	1	46.5	98%	0%	-2.2	0.11
110	Al-Karkh	Baghdad	1	46.4	96%	0%	+0.7	0.13
111	Badr	Cairo	1	46.3	96%	0%	-0.4	0.11
112	Korangi Town	Karachi	1	46.3	97%	3%	-6.9	0.12
113	Minshat Nasir	Cairo	1	46.2	96%	0%	-0.0	0.11
114	Dubai International Financial Centre	Dubai	4	46.2	100%	1%	-4.8	0.13
115	Mission Hills Neighborhood Council District	Los Angeles	4	46.2	67%	0%	+9.3	0.27
116	Al Sharabiyya	Cairo	1	46.0	97%	0%	-0.2	0.12
117	Greater Valley Glen Neighborhood Council District	Los Angeles	4	46.0	74%	0%	+8.8	0.29
118	Muski	Cairo	1	45.9	96%	0%	-1.5	0.11
119	Lyari Town	Karachi	1	45.7	93%	0%	-5.4	0.10
120	Kamrangir Char	Dhaka	2	45.6	78%	0%	+6.5	0.25
121	Paradise Valley	Phoenix	2	45.6	98%	10%	-0.9	0.18
122	Sidi Belyout	Casablanca	3	45.5	74%	0%	+3.9	0.14
123	Bulaq	Cairo	1	45.5	95%	0%	-1.8	0.12
124	García	Monterrey	2	45.2	99%	0%	+1.9	0.20
125	Sant Andreu	Barcelona	3	45.2	82%	0%	+4.6	0.21
126	Tejgaon Ind. Area	Dhaka	2	45.1	78%	0%	+8.4	0.32
127	Nuzha	Cairo	1	45.1	86%	1%	+0.6	0.10
128	15 Mayu	Cairo	1	45.0	88%	1%	+0.2	0.10
129	Bangshal	Dhaka	2	45.0	78%	0%	+5.9	0.24
130	Al-Adhamiya	Baghdad	1	44.9	94%	0%	+0.0	0.13
131	Shyampur	Dhaka	2	44.9	88%	0%	+4.8	0.25
132	Mers Sultan	Casablanca	3	44.8	95%	0%	+1.1	0.16
133	Al Azbakiyya	Cairo	1	44.8	90%	0%	-2.4	0.10
134	Camelback East	Phoenix	2	44.7	97%	16%	-0.5	0.22
135	Madinat Nasr-2	Cairo	1	44.7	87%	3%	+0.6	0.13
136	Jumeirah Park	Dubai	4	44.7	100%	14%	-4.7	0.23
137	Faisal Cantonment	Karachi	1	44.7	93%	23%	-3.1	0.24
138	Jamshed Town	Karachi	1	44.6	94%	2%	-7.6	0.14
139	Chatsworth Neighborhood Council District	Los Angeles	4	44.4	55%	4%	+9.7	0.28
140	Sidi Othmane	Casablanca	3	44.3	98%	0%	+2.1	0.22
141	18e arrondissement	Paris	4	44.3	84%	0%	+5.0	0.25
142	Business Bay	Dubai	4	44.2	84%	17%	-4.7	0.17
143	Ben M'Sick	Casablanca	3	44.1	99%	0%	+1.0	0.20
144	Kiamari Town	Karachi	1	44.1	80%	21%	-4.6	0.17
145	Shah Faisal Town	Karachi	1	44.0	99%	2%	-3.6	0.17
146	Kalyan	Mumbai	4	43.9	95%	22%	+1.5	0.31
147	Desert View	Phoenix	2	43.6	98%	7%	-1.2	0.20
148	Ulhasnagar	Mumbai	4	43.6	98%	13%	+1.1	0.27
149	Zawiyya Al-Hamra	Cairo	1	43.5	87%	2%	-0.8	0.12
150	Bab Al-Shariyya	Cairo	1	43.5	86%	0%	-1.3	0.11
151	Landhi Town	Karachi	1	43.5	94%	9%	-4.3	0.20
152	Miguel Hidalgo	Mexico City	1	43.4	43%	4%	+12.3	0.33
153	17e arrondissement	Paris	4	43.3	77%	0%	+5.3	0.25
154	Downtown Core	Singapore	4	42.9	80%	0%	+6.5	0.31
155	Pen	Mumbai	4	42.9	97%	19%	+1.5	0.32
156	Karachi Cantonment	Karachi	1	42.9	98%	0%	-7.7	0.18
157	Singapore River	Singapore	4	41.9	83%	0%	+6.0	0.33
158	Santa Catarina	Monterrey	2	41.9	87%	0%	+0.4	0.16
159	Al Darb al-Ahmar	Cairo	1	41.7	87%	0%	-1.2	0.15
160	Northridge East Neighborhood Council District	Los Angeles	4	41.5	49%	1%	+10.2	0.31
161	East	Delhi	1	41.4	84%	29%	-3.3	0.29
162	Outram	Singapore	4	41.3	86%	0%	+7.0	0.39
163	Vasai	Mumbai	4	41.3	95%	21%	+1.0	0.34
164	Prés d'Arènes	Montpellier	4	41.1	77%	0%	+6.9	0.34
165	Aïn Sebaâ	Casablanca	3	40.9	79%	0%	+1.3	0.17
166	1er arrondissement	Paris	4	40.9	63%	0%	+4.1	0.18
167	Eixample	Barcelona	3	40.8	75%	0%	+3.0	0.21
168	South East	Delhi	1	40.8	86%	33%	-3.3	0.33
169	Saddar Town	Karachi	1	40.6	81%	1%	-7.6	0.15
170	Sutrapur	Dhaka	2	40.5	66%	0%	+5.7	0.26
171	6e arrondissement	Paris	4	40.5	78%	0%	+3.0	0.23
172	Nasr City	Cairo	1	40.5	73%	0%	-0.4	0.11
173	Sants-Montjuïc	Barcelona	3	40.4	68%	0%	+3.3	0.19
174	Sbata	Casablanca	3	40.2	100%	0%	-0.2	0.25
175	Lake Balboa Neighborhood Council District	Los Angeles	4	39.9	58%	1%	+8.3	0.33
176	Al Zahir	Cairo	1	39.9	71%	0%	-1.0	0.11
177	4e arrondissement	Paris	4	39.8	58%	0%	+4.4	0.19
178	Al Sahil	Cairo	1	39.8	73%	0%	-2.2	0.12
179	Álvaro Obregón	Mexico City	1	39.7	36%	1%	+11.4	0.32
180	Panvel	Mumbai	4	39.6	94%	11%	+0.3	0.29
181	Sylmar Neighborhood Council District	Los Angeles	4	39.6	45%	0%	+9.1	0.29
182	Abdin	Cairo	1	39.4	71%	0%	-3.0	0.12
183	Lahore City	Lahore	2	39.2	90%	1%	+2.2	0.29
184	Al Khalifa	Cairo	1	39.0	68%	0%	-0.9	0.11
185	Al Wayli	Cairo	1	39.0	72%	0%	-1.2	0.13
186	Adabor	Dhaka	2	38.9	70%	0%	+3.9	0.25
187	Distrito 16	Tehran	2	38.9	59%	0%	+2.8	0.16
188	Central	Delhi	1	38.9	84%	20%	-3.8	0.29
189	Paltan	Dhaka	2	38.7	46%	0%	+8.0	0.27
190	Shomolu	Lagos	4	38.5	52%	0%	+5.5	0.22
191	Al Salam	Cairo	1	38.4	62%	1%	-0.7	0.09
192	Rampura	Dhaka	2	38.4	49%	0%	+7.6	0.28
193	Sayyida Zainab	Cairo	1	38.4	69%	0%	-2.0	0.13
194	Chak Bazar	Dhaka	2	38.2	59%	0%	+5.9	0.28
195	Basatin	Cairo	1	38.1	62%	2%	-0.3	0.11
196	Al Matariyya	Cairo	1	38.1	62%	0%	-2.4	0.10
197	Mirpur	Dhaka	2	37.8	57%	0%	+6.4	0.29
198	Centre	Montpellier	4	37.8	72%	0%	+6.3	0.37
199	Marine Parade	Singapore	4	37.4	77%	1%	+8.0	0.46
200	Lalbagh	Dhaka	2	37.3	50%	0%	+6.9	0.28
201	Tura	Cairo	1	37.3	52%	3%	-0.9	0.08
202	Maadi	Cairo	1	37.2	65%	0%	-0.8	0.13
203	Maârif	Casablanca	3	37.2	87%	0%	-2.3	0.24
204	Xochimilco	Mexico City	1	37.2	38%	1%	+11.7	0.39
205	5e arrondissement	Paris	4	37.0	66%	0%	+3.5	0.25
206	Uran	Mumbai	4	36.7	88%	4%	-1.0	0.28
207	Aïn Chock	Casablanca	3	36.6	94%	0%	-0.5	0.29
208	Clifton Cantonment	Karachi	1	36.6	68%	0%	-9.1	0.16
209	Hazaribagh	Dhaka	2	36.5	47%	0%	+7.3	0.30
210	Mushin	Lagos	4	36.5	51%	0%	+3.6	0.20
211	Tejgaon	Dhaka	2	36.3	54%	0%	+7.5	0.34
212	Valley Village Neighborhood Council District	Los Angeles	4	36.0	45%	0%	+7.7	0.31
213	Shroq	Cairo	1	36.0	64%	0%	-1.0	0.15
214	Gendaria	Dhaka	2	35.9	58%	0%	+4.7	0.28
215	Northridge West Neighborhood Council District	Los Angeles	4	35.9	34%	1%	+9.1	0.31
216	Misr Al-Qadima	Cairo	1	35.8	61%	0%	-2.5	0.14
217	Tampines	Singapore	4	35.5	60%	7%	+7.6	0.43
218	13e arrondissement	Paris	4	35.5	64%	0%	+4.6	0.31
219	Darus Salam	Dhaka	2	35.3	60%	0%	+5.0	0.31
220	New Cairo-3	Cairo	1	34.8	57%	0%	-1.4	0.14
221	15e arrondissement	Paris	4	34.7	66%	0%	+3.3	0.30
222	The Meadows	Dubai	4	34.3	84%	1%	-6.8	0.29
223	New Delhi	Delhi	1	34.2	80%	24%	-3.5	0.39
224	Distrito 13	Tehran	2	34.2	41%	0%	+3.1	0.18
225	Jatrabari	Dhaka	2	34.2	58%	0%	+5.3	0.33
226	Changi	Singapore	4	34.0	40%	5%	+9.2	0.40
227	La Magdalena Contreras	Mexico City	1	33.9	24%	0%	+10.6	0.35
228	Gràcia	Barcelona	3	33.8	55%	0%	+3.3	0.26
229	General Escobedo	Monterrey	2	33.6	82%	0%	-0.2	0.29
230	North East	Delhi	1	33.5	68%	15%	-4.8	0.29
231	Kotwali	Dhaka	2	33.3	43%	0%	+4.9	0.26
232	Brás	Sao Paulo	4	33.3	0%	0%	+8.0	0.15
233	South	Delhi	1	33.2	84%	20%	-4.1	0.41
234	Tlalpan	Mexico City	1	33.2	32%	1%	+9.9	0.38
235	Serangoon	Singapore	4	33.1	83%	0%	+2.0	0.37
236	Hadaiq Al-Qubba	Cairo	1	33.1	45%	0%	-1.8	0.11
237	Lagos Island	Lagos	4	32.9	14%	0%	+6.6	0.18
238	Jumeirah Islands	Dubai	4	32.8	84%	0%	-6.8	0.32
239	Al Zaytun	Cairo	1	32.8	47%	0%	-2.0	0.13
240	Korangi Creek Cantonment	Karachi	1	32.7	64%	0%	-10.9	0.22
241	Sant Martí	Barcelona	3	32.7	44%	0%	+3.8	0.24
242	Motijheel	Dhaka	2	32.6	44%	0%	+6.6	0.34
243	Lim Chu Kang	Singapore	4	32.6	0%	0%	+4.5	-0.15
244	Kafrul	Dhaka	2	32.5	48%	0%	+6.6	0.36
245	Distrito 20	Tehran	2	32.4	31%	0%	+3.2	0.16
246	Monterrey	Monterrey	2	32.4	73%	0%	+0.2	0.27
247	Croix d'Argent	Montpellier	4	32.2	55%	0%	+6.7	0.41
248	Geylang	Singapore	4	32.2	63%	0%	+4.4	0.37
249	Vila Medeiros	Sao Paulo	4	32.0	0%	0%	+8.8	0.20
250	Lahore Cantt	Lahore	2	31.9	71%	1%	+1.3	0.32
251	Apodaca	Monterrey	2	31.9	74%	0%	-0.2	0.28
252	Pallabi	Dhaka	2	31.8	53%	0%	+4.8	0.34
253	Orchard	Singapore	4	31.7	67%	0%	+4.4	0.40
254	Toa Payoh	Singapore	4	31.7	89%	0%	+2.1	0.43
255	Distrito 5	Tehran	2	31.7	47%	0%	+1.1	0.19
256	Distrito 12	Tehran	2	31.6	38%	0%	+0.4	0.12
257	Ciutat Vella	Barcelona	3	31.5	44%	0%	+1.0	0.18
258	Kadamtali	Dhaka	2	31.2	47%	0%	+4.0	0.29
259	Distrito 7	Tehran	2	31.1	27%	0%	+2.2	0.13
260	Kallang	Singapore	4	31.1	63%	1%	+4.1	0.38
261	Thane	Mumbai	4	31.0	74%	5%	-2.8	0.33
262	Kalabagan	Dhaka	2	30.9	16%	0%	+7.8	0.27
263	20e arrondissement	Paris	4	30.8	58%	0%	+3.7	0.35
264	Queenstown	Singapore	4	30.8	79%	2%	+2.8	0.43
265	Aricanduva	Sao Paulo	4	30.8	0%	0%	+8.3	0.21
266	Ipiranga	Sao Paulo	4	30.7	0%	0%	+9.1	0.24
267	7e arrondissement	Paris	4	30.6	50%	0%	+3.0	0.29
268	Granada Hills North Neighborhood Council District	Los Angeles	4	30.6	25%	0%	+8.3	0.34
269	Água Rasa	Sao Paulo	4	30.5	0%	0%	+8.1	0.21
270	Distrito 2	Tehran	2	30.5	41%	0%	+1.6	0.20
271	Distrito 14	Tehran	2	30.4	33%	0%	+1.6	0.16
272	Distrito 11	Tehran	2	30.4	29%	0%	+0.9	0.12
273	Mooca	Sao Paulo	4	30.2	0%	0%	+8.5	0.23
274	19e arrondissement	Paris	4	30.1	45%	0%	+5.2	0.35
275	São Lucas	Sao Paulo	4	30.1	0%	0%	+8.3	0.22
276	Distrito 17	Tehran	2	29.9	32%	0%	+0.6	0.13
277	Cambuci	Sao Paulo	4	29.9	0%	0%	+8.5	0.24
278	Vila Guilherme	Sao Paulo	4	29.8	0%	0%	+7.6	0.21
279	Hougang	Singapore	4	29.8	76%	0%	+2.6	0.42
280	Vila Maria	Sao Paulo	4	29.6	0%	0%	+8.0	0.22
281	Vila Matilde	Sao Paulo	4	29.6	0%	0%	+8.2	0.23
282	Guadalupe	Monterrey	2	29.4	66%	0%	-2.3	0.29
283	14e arrondissement	Paris	4	29.3	52%	0%	+3.9	0.35
284	Vila Prudente	Sao Paulo	4	29.3	0%	0%	+8.7	0.25
285	Ain Shams	Cairo	1	29.2	29%	0%	-2.4	0.11
286	Ramna	Dhaka	2	29.1	24%	0%	+7.2	0.33
287	Nou Barris	Barcelona	3	29.1	59%	0%	+3.2	0.37
288	Limão	Sao Paulo	4	28.9	0%	0%	+7.4	0.22
289	Sacomã	Sao Paulo	4	28.9	0%	0%	+9.0	0.27
290	Carrão	Sao Paulo	4	28.8	0%	0%	+7.9	0.24
291	Biman Bandar	Dhaka	2	28.8	57%	0%	+4.1	0.40
292	Mumbai	Mumbai	4	28.7	57%	0%	-6.6	0.26
293	Sapopemba	Sao Paulo	4	28.7	0%	0%	+8.2	0.25
294	Penha	Sao Paulo	4	28.7	0%	0%	+7.8	0.24
295	Qasr Al-Nile	Cairo	1	28.7	32%	0%	-4.2	0.14
296	Barajas	Madrid	1	28.6	58%	0%	+0.5	0.29
297	Uttara	Dhaka	2	28.6	50%	0%	+2.7	0.32
298	Woodlands	Singapore	4	28.5	65%	1%	+3.9	0.44
299	Cidade Ademar	Sao Paulo	4	28.5	0%	0%	+8.0	0.25
300	Les Corts	Barcelona	3	28.4	40%	0%	+4.3	0.33
301	Casa Verde	Sao Paulo	4	28.4	0%	0%	+7.7	0.24
302	Suginami	Tokyo	4	28.3	6%	0%	+6.9	0.25
303	Distrito 6	Tehran	2	28.3	26%	0%	+1.5	0.16
304	Museum	Singapore	4	28.1	74%	0%	+4.9	0.52
305	Sé	Sao Paulo	4	28.0	0%	0%	+7.0	0.22
306	Bom Retiro	Sao Paulo	4	27.9	0%	0%	+7.5	0.24
307	República	Sao Paulo	4	27.9	0%	0%	+6.7	0.22
308	Greater Toluca Lake Neighborhood Council District	Los Angeles	4	27.9	24%	0%	+7.9	0.38
309	Distrito 15	Tehran	2	27.8	22%	0%	+2.1	0.18
310	Ponte Rasa	Sao Paulo	4	27.7	0%	0%	+6.8	0.22
311	Capão Redondo	Sao Paulo	4	27.7	0%	0%	+8.9	0.29
312	Alibag	Mumbai	4	27.6	71%	7%	-1.6	0.39
313	Pari	Sao Paulo	4	27.6	0%	0%	+6.5	0.22
314	Jaguara	Sao Paulo	4	27.6	0%	0%	+8.7	0.29
315	Vila Formosa	Sao Paulo	4	27.4	0%	0%	+7.5	0.25
316	Ajeromi/Ifelodun	Lagos	4	27.3	19%	0%	+4.0	0.23
317	Misr al-Gadida	Cairo	1	27.2	29%	0%	-2.5	0.15
318	Sembawang	Singapore	4	27.1	37%	2%	+6.9	0.43
319	Jaguaré	Sao Paulo	4	27.0	0%	0%	+9.6	0.33
320	Jabaquara	Sao Paulo	4	27.0	0%	0%	+8.3	0.29
321	Campo Limpo	Sao Paulo	4	27.0	0%	0%	+9.4	0.32
322	Quilicura	Santiago de Chile	4	26.8	0%	0%	+5.0	0.18
323	São Mateus	Sao Paulo	4	26.7	0%	0%	+8.0	0.28
324	Santa Cecília	Sao Paulo	4	26.7	0%	0%	+6.4	0.23
325	Villa de Vallecas	Madrid	1	26.7	43%	0%	+2.2	0.30
326	Tatuapé	Sao Paulo	4	26.6	0%	0%	+6.9	0.25
327	Mohammadpur	Dhaka	2	26.6	28%	0%	+5.2	0.33
328	New Cairo-1	Cairo	1	26.5	28%	0%	-2.8	0.16
329	Nerima	Tokyo	4	26.4	6%	0%	+5.8	0.24
330	Distrito 4	Tehran	2	26.4	23%	0%	+1.6	0.19
331	Bukit Merah	Singapore	4	26.4	62%	2%	+3.7	0.47
332	Saúde	Sao Paulo	4	26.3	0%	0%	+7.4	0.27
333	Belém	Sao Paulo	4	26.3	0%	0%	+6.6	0.24
334	New Cairo-2	Cairo	1	26.2	37%	0%	-2.4	0.21
335	Liberdade	Sao Paulo	4	26.2	0%	0%	+7.7	0.28
336	Distrito 10	Tehran	2	26.2	16%	0%	-0.5	0.11
337	116	Johannesburg	4	26.1	0%	0%	+2.4	0.11
338	Meguro	Tokyo	4	26.1	1%	0%	+5.2	0.21
339	Woodland Hills-Warner Center Neighborhood Council District	Los Angeles	4	25.8	22%	1%	+6.6	0.37
340	Campo Belo	Sao Paulo	4	25.7	0%	0%	+8.1	0.30
341	Sumida	Tokyo	4	25.7	0%	0%	+3.4	0.15
342	Freguesia do Ó	Sao Paulo	4	25.6	0%	0%	+7.0	0.27
343	Qingshan	Wuhan	3	25.6	15%	0%	+6.8	0.34
344	Lapa	Sao Paulo	4	25.4	0%	0%	+7.2	0.28
345	Barra Funda	Sao Paulo	4	25.3	0%	0%	+7.2	0.28
346	Vila Leopoldina	Sao Paulo	4	25.3	0%	0%	+7.9	0.31
347	Distrito 8	Tehran	2	25.2	6%	0%	+1.7	0.13
348	Gulshan	Dhaka	2	25.2	22%	0%	+5.9	0.35
349	Nakano	Tokyo	4	25.1	5%	0%	+3.4	0.19
350	Jaçanã	Sao Paulo	4	25.1	0%	0%	+7.0	0.28
351	Ikorodu	Lagos	4	25.0	39%	0%	+5.5	0.43
352	Artur Alvim	Sao Paulo	4	24.9	0%	0%	+6.1	0.26
353	Itaquera	Sao Paulo	4	24.9	0%	0%	+5.8	0.24
354	Sungei Kadut	Singapore	4	24.9	59%	2%	+3.4	0.48
355	Badda	Dhaka	2	24.7	28%	0%	+6.0	0.39
356	Toshima	Tokyo	4	24.5	1%	0%	+3.2	0.17
357	079	Johannesburg	4	24.4	0%	0%	+3.0	0.16
358	Rio Pequeno	Sao Paulo	4	24.4	0%	0%	+9.1	0.37
359	Vila Curuçá	Sao Paulo	4	24.3	0%	0%	+5.6	0.25
360	River Valley	Singapore	4	24.3	60%	0%	+3.6	0.48
361	Shinagawa	Tokyo	4	24.3	0%	0%	+2.8	0.16
362	Bela Vista	Sao Paulo	4	24.2	0%	0%	+6.5	0.28
363	Villaverde	Madrid	1	24.2	42%	0%	+0.1	0.28
364	Choa Chu Kang	Singapore	4	24.2	65%	1%	+0.7	0.42
365	Ota	Tokyo	4	24.1	1%	0%	+2.7	0.16
366	Distrito 3	Tehran	2	24.1	22%	0%	+1.3	0.22
367	Vicálvaro	Madrid	1	24.1	29%	0%	+1.8	0.27
368	Vila Mariana	Sao Paulo	4	24.0	0%	0%	+6.5	0.29
369	Bishan	Singapore	4	24.0	71%	0%	+0.5	0.44
370	Setagaya	Tokyo	4	24.0	4%	0%	+4.8	0.25
371	Vila Jacuí	Sao Paulo	4	24.0	0%	0%	+5.7	0.26
372	Port Marianne	Montpellier	4	23.9	46%	0%	+4.1	0.44
373	Tetuán	Madrid	1	23.9	4%	0%	+3.8	0.22
374	078	Johannesburg	4	23.8	0%	0%	+2.9	0.17
375	Edogawa	Tokyo	4	23.7	0%	0%	+3.0	0.18
376	Salamanca	Madrid	1	23.6	5%	0%	+3.5	0.22
377	Cerrillos	Santiago de Chile	4	23.5	0%	0%	+2.7	0.17
378	Porter Ranch Neighborhood Council District	Los Angeles	4	23.5	6%	0%	+7.0	0.34
379	El Bosque	Santiago de Chile	4	23.4	0%	0%	+2.1	0.15
380	Santana	Sao Paulo	4	23.4	0%	0%	+6.5	0.30
381	Socorro	Sao Paulo	4	23.2	0%	0%	+5.9	0.28
382	Arakawa	Tokyo	4	23.2	0%	0%	+2.1	0.16
383	Itaim Paulista	Sao Paulo	4	23.2	0%	0%	+4.9	0.25
384	Vila Sônia	Sao Paulo	4	23.1	0%	0%	+8.9	0.39
385	Cidade Líder	Sao Paulo	4	23.1	0%	0%	+6.4	0.30
386	Taito	Tokyo	4	23.1	0%	0%	+1.7	0.15
387	Dakshinkhan	Dhaka	2	23.0	47%	0%	+3.1	0.43
388	Dhanmondi	Dhaka	2	22.9	4%	0%	+6.8	0.34
389	Mumbai Suburban	Mumbai	4	22.9	46%	2%	-4.0	0.33
390	Renca	Santiago de Chile	4	22.9	0%	0%	+2.5	0.18
391	Itaim Bibi	Sao Paulo	4	22.9	0%	0%	+6.5	0.31
392	Santo Amaro	Sao Paulo	4	22.9	0%	0%	+8.5	0.38
393	San Pedro Garza García	Monterrey	2	22.8	59%	0%	-3.0	0.39
394	Hanyang	Wuhan	3	22.8	12%	1%	+5.9	0.36
395	Lo Espejo	Santiago de Chile	4	22.7	0%	0%	+1.1	0.13
396	Centro	Madrid	1	22.7	11%	0%	+2.0	0.22
397	District J	Houston	3	22.7	25%	0%	+4.3	0.36
398	Lajeado	Sao Paulo	4	22.6	0%	0%	+5.2	0.27
399	Horta-Guinardó	Barcelona	3	22.6	41%	0%	+2.6	0.39
400	São Domingos	Sao Paulo	4	22.4	0%	0%	+6.9	0.33
401	Pudahuel	Santiago de Chile	4	22.4	0%	0%	+3.5	0.22
402	São Miguel Paulista	Sao Paulo	4	22.4	0%	0%	+5.5	0.28
403	Shinjuku	Tokyo	4	22.4	0%	0%	+3.0	0.20
404	Tarzana Neighborhood Council District	Los Angeles	4	22.3	21%	0%	+5.6	0.40
405	Pedro Aguirre Cerda	Santiago de Chile	4	22.3	0%	0%	+1.3	0.15
406	108	Johannesburg	4	22.3	0%	0%	+0.3	0.11
407	111	Johannesburg	4	22.1	0%	0%	+2.4	0.19
408	077	Johannesburg	4	22.1	0%	0%	+1.5	0.16
409	Itabashi	Tokyo	4	22.0	0%	0%	+3.1	0.21
410	Jardim São Luís	Sao Paulo	4	22.0	0%	0%	+6.5	0.33
411	Chuo	Tokyo	4	21.8	0%	0%	-0.8	0.11
412	133	Johannesburg	4	21.7	0%	0%	+0.5	0.13
413	San Ramón	Santiago de Chile	4	21.7	0%	0%	+0.5	0.13
414	Surulere	Lagos	4	21.7	17%	0%	-2.0	0.20
415	Les Cévennes	Montpellier	4	21.6	25%	0%	+6.5	0.46
416	048	Johannesburg	4	21.6	0%	0%	+4.4	0.26
417	Newton	Singapore	4	21.6	70%	0%	+2.0	0.53
418	Tucuruvi	Sao Paulo	4	21.5	0%	0%	+6.5	0.34
419	Cadereyta Jiménez	Monterrey	2	21.5	43%	0%	+2.9	0.43
420	Clementi	Singapore	4	21.5	59%	3%	+0.5	0.44
421	Independencia	Santiago de Chile	4	21.5	0%	0%	+1.1	0.16
422	Ermelino Matarazzo	Sao Paulo	4	21.5	0%	0%	+6.3	0.33
423	Mosson	Montpellier	4	21.5	24%	0%	+5.8	0.44
424	San Joaquín	Santiago de Chile	4	21.4	0%	0%	+0.7	0.14
425	Conchalí	Santiago de Chile	4	21.4	0%	0%	+1.5	0.17
426	Chamberí	Madrid	1	21.4	9%	0%	+1.2	0.21
427	La Cisterna	Santiago de Chile	4	21.4	0%	0%	+1.3	0.16
428	Sherman Oaks Neighborhood Council District	Los Angeles	4	21.4	19%	0%	+5.3	0.39
429	Cerro Navia	Santiago de Chile	4	21.4	0%	0%	+1.5	0.17
430	Los Feliz Neighborhood Council District	Los Angeles	4	21.3	19%	0%	+4.7	0.38
431	Sabujbagh	Dhaka	2	21.1	24%	0%	+4.1	0.38
432	Quinta Normal	Santiago de Chile	4	21.1	0%	0%	+1.1	0.16
433	063	Johannesburg	4	21.1	0%	0%	-5.8	0.13
434	Campo Grande	Sao Paulo	4	21.0	0%	0%	+7.4	0.38
435	San Miguel	Santiago de Chile	4	21.0	0%	0%	+0.8	0.16
436	080	Johannesburg	4	20.8	0%	0%	+3.1	0.24
437	Jardim Helena	Sao Paulo	4	20.8	0%	0%	+5.2	0.31
438	107	Johannesburg	4	20.8	0%	0%	-0.1	0.13
439	Apapa	Lagos	4	20.8	4%	0%	+1.8	0.21
440	Estación Central	Santiago de Chile	4	20.7	0%	0%	+1.5	0.19
441	Perdizes	Sao Paulo	4	20.6	0%	0%	+5.2	0.31
442	Marina South	Singapore	4	20.6	48%	0%	+3.8	0.50
443	Santiago	Santiago de Chile	4	20.6	0%	0%	+0.6	0.16
444	Pasir Ris	Singapore	4	20.6	23%	1%	+6.4	0.47
445	Shibuya	Tokyo	4	20.6	0%	0%	+2.7	0.23
446	Jurong East	Singapore	4	20.5	39%	0%	+1.2	0.38
447	Lo Prado	Santiago de Chile	4	20.5	0%	0%	+0.5	0.16
448	Khilkhet	Dhaka	2	20.4	17%	0%	+6.0	0.43
449	Koto	Tokyo	4	20.4	0%	0%	-0.2	0.14
450	Sher-e-bangla Nagar	Dhaka	2	20.3	19%	0%	+5.7	0.42
451	Shahbagh	Dhaka	2	20.3	13%	0%	+6.5	0.43
452	062	Johannesburg	4	20.2	0%	0%	-5.6	0.15
453	New Market	Dhaka	2	20.1	10%	0%	+7.1	0.43
454	La Granja	Santiago de Chile	4	20.1	0%	0%	-0.2	0.15
455	Katsushika	Tokyo	4	20.1	0%	0%	+1.8	0.21
456	Punggol	Singapore	4	20.0	31%	0%	+6.7	0.53
457	Anfa	Casablanca	3	19.9	31%	0%	-0.2	0.31
458	Ifako/Ijaye	Lagos	4	19.9	15%	0%	+0.4	0.24
459	Straits View	Singapore	4	19.9	39%	0%	+6.1	0.64
460	076	Johannesburg	4	19.9	0%	0%	+0.1	0.15
461	Friedrichshain-Kreuzberg	Berlin	4	19.7	0%	0%	+6.1	0.36
462	130	Johannesburg	4	19.5	0%	0%	+2.7	0.25
463	Arganzuela	Madrid	1	19.5	9%	0%	+2.4	0.29
464	Maipú	Santiago de Chile	4	19.5	0%	0%	+2.5	0.24
465	Consolação	Sao Paulo	4	19.5	0%	0%	+5.5	0.34
466	Ang Mo Kio	Singapore	4	19.5	41%	2%	+3.4	0.49
467	Pinheiros	Sao Paulo	4	19.4	0%	0%	+5.6	0.35
468	Puente de Vallecas	Madrid	1	19.3	23%	0%	+0.7	0.30
469	Macul	Santiago de Chile	4	19.3	0%	0%	+0.9	0.20
470	Ojo	Lagos	4	19.3	21%	0%	+4.9	0.44
471	020	Johannesburg	4	19.2	0%	0%	+3.1	0.27
472	District H	Houston	3	19.2	16%	0%	+4.7	0.40
473	Mitte	Berlin	4	19.1	1%	0%	+6.2	0.38
474	Jardim Paulista	Sao Paulo	4	19.1	0%	0%	+5.1	0.34
475	Changi Bay	Singapore	4	19.0	0%	0%	+3.5	0.29
476	Salinas Victoria	Monterrey	2	19.0	40%	0%	-3.3	0.37
477	Cidade Dutra	Sao Paulo	4	19.0	0%	0%	+6.9	0.40
478	Raposo Tavares	Sao Paulo	4	19.0	0%	0%	+8.4	0.45
479	Marina East	Singapore	4	19.0	33%	0%	+3.7	0.46
480	Encino Neighborhood Council District	Los Angeles	4	18.9	15%	0%	+5.2	0.42
481	Shah Ali	Dhaka	2	18.8	29%	0%	+3.9	0.45
482	Khilgaon	Dhaka	2	18.8	18%	0%	+4.4	0.41
483	052	Johannesburg	4	18.8	0%	0%	+2.6	0.26
484	075	Johannesburg	4	18.8	0%	0%	-0.6	0.17
485	Southern Islands	Singapore	4	18.8	55%	0%	+1.6	0.50
486	Kita	Tokyo	4	18.7	1%	0%	+0.9	0.21
487	Minato	Tokyo	4	18.6	0%	0%	+0.3	0.19
488	Novena	Singapore	4	18.5	67%	0%	+1.0	0.55
489	Bunkyō	Tokyo	4	18.5	0%	0%	+0.8	0.21
490	051	Johannesburg	4	18.4	0%	0%	+3.2	0.29
491	021	Johannesburg	4	18.4	0%	0%	+3.0	0.28
492	Recoleta	Santiago de Chile	4	18.4	0%	0%	+0.8	0.21
493	Adachi	Tokyo	4	18.4	0%	0%	+0.4	0.20
494	Caidian	Wuhan	3	18.3	13%	1%	+5.7	0.44
495	Hôpitaux-Facultés	Montpellier	4	18.3	30%	0%	+4.6	0.49
496	Jiang'an	Wuhan	3	18.3	4%	0%	+5.2	0.38
497	Turag	Dhaka	2	18.2	29%	0%	+2.8	0.42
498	Carabanchel	Madrid	1	18.1	22%	0%	-1.2	0.30
499	Cachoeirinha	Sao Paulo	4	17.9	0%	0%	+4.6	0.35
500	District F	Houston	3	17.9	25%	0%	+3.2	0.43
501	Eti Osa	Lagos	4	17.9	14%	0%	+0.9	0.29
502	Jurong West	Singapore	4	17.8	42%	0%	-0.6	0.40
503	Pirituba	Sao Paulo	4	17.8	0%	0%	+5.8	0.39
504	031	Johannesburg	4	17.7	0%	0%	+0.4	0.21
505	Paya Lebar	Singapore	4	17.6	39%	0%	+4.7	0.57
506	District I	Houston	3	17.5	13%	0%	+4.9	0.43
507	Boon Lay	Singapore	4	17.5	33%	0%	-0.1	0.37
508	Qiaokou	Wuhan	3	17.4	3%	0%	+3.0	0.32
509	Tuas	Singapore	4	17.4	25%	0%	-7.7	0.33
510	Agege	Lagos	4	17.4	0%	0%	-5.5	0.20
511	Wuchang	Wuhan	3	17.4	2%	0%	+3.9	0.34
512	La Pintana	Santiago de Chile	4	17.3	0%	0%	+2.1	0.27
513	Lagos Mainland	Lagos	4	17.3	18%	0%	-1.6	0.29
514	Cangaíba	Sao Paulo	4	17.3	0%	0%	+6.1	0.41
515	Tanglin	Singapore	4	17.3	66%	0%	+0.5	0.59
516	Hongshan	Wuhan	3	17.2	4%	0%	+5.0	0.39
517	Bukit Timah	Singapore	4	17.2	58%	0%	+1.6	0.55
518	Guaianases	Sao Paulo	4	17.0	0%	0%	+4.3	0.36
519	Manora Cantonment	Karachi	1	17.0	8%	0%	-12.3	0.25
520	Moema	Sao Paulo	4	16.8	0%	0%	+5.0	0.38
521	Cursino	Sao Paulo	4	16.8	0%	0%	+6.6	0.44
522	123	Johannesburg	4	16.7	0%	0%	-3.8	0.22
523	Latina	Madrid	1	16.6	25%	0%	-2.1	0.34
524	061	Johannesburg	4	16.6	0%	0%	-3.5	0.22
525	Usera	Madrid	1	16.5	17%	0%	-1.7	0.31
526	La Florida	Santiago de Chile	4	16.5	0%	0%	+0.8	0.25
527	Retiro	Madrid	1	16.4	5%	0%	+3.2	0.35
528	Ikeja	Lagos	4	16.4	11%	0%	-3.0	0.28
529	São Rafael	Sao Paulo	4	16.4	0%	0%	+5.4	0.40
530	Tempelhof-Schöneberg	Berlin	4	16.4	3%	0%	+6.7	0.46
531	District A	Houston	3	16.3	18%	0%	+2.4	0.40
532	Cantonment	Dhaka	2	16.1	14%	0%	+4.9	0.46
533	Chamartín	Madrid	1	16.0	4%	0%	+1.1	0.28
534	Chiyoda	Tokyo	4	15.9	0%	0%	-0.7	0.23
535	045	Johannesburg	4	15.8	0%	0%	-2.1	0.23
536	Neukölln	Berlin	4	15.8	1%	0%	+7.4	0.48
537	San Blas - Canillejas	Madrid	1	15.8	16%	0%	+0.1	0.32
538	Distrito 1	Tehran	2	15.8	5%	0%	-1.0	0.26
539	Morumbi	Sao Paulo	4	15.8	0%	0%	+7.1	0.47
540	Butantã	Sao Paulo	4	15.7	0%	0%	+6.8	0.46
541	047	Johannesburg	4	15.7	0%	0%	+0.1	0.24
542	Ñuñoa	Santiago de Chile	4	15.7	0%	0%	+0.3	0.25
543	Huechuraba	Santiago de Chile	4	15.7	0%	0%	+1.1	0.27
544	Pioneer	Singapore	4	15.6	20%	0%	-4.2	0.34
545	Ciudad Lineal	Madrid	1	15.6	6%	0%	+0.8	0.30
546	District B	Houston	3	15.6	14%	0%	+3.6	0.42
547	Vila Andrade	Sao Paulo	4	15.6	0%	0%	+7.3	0.48
548	Oshodi/Isolo	Lagos	4	15.5	6%	0%	-0.8	0.27
549	015	Johannesburg	4	15.5	0%	0%	-2.2	0.24
550	041	Johannesburg	4	15.4	0%	0%	-0.6	0.24
551	044	Johannesburg	4	15.4	0%	0%	+0.9	0.27
552	095	Johannesburg	4	15.3	0%	0%	+0.5	0.26
553	Pesquería	Monterrey	2	15.3	30%	0%	+1.2	0.44
554	016	Johannesburg	4	15.2	0%	0%	+2.5	0.33
555	Brasilândia	Sao Paulo	4	15.2	0%	0%	+3.7	0.37
556	043	Johannesburg	4	15.2	0%	0%	-1.8	0.25
557	027	Johannesburg	4	15.1	0%	0%	-0.0	0.25
558	Studio City Neighborhood Council District	Los Angeles	4	15.0	6%	0%	+4.3	0.42
559	Dongxihu	Wuhan	3	15.0	4%	0%	+3.5	0.39
560	042	Johannesburg	4	14.9	0%	0%	-1.6	0.25
561	Grajaú	Sao Paulo	4	14.8	0%	0%	+4.5	0.40
562	128	Johannesburg	4	14.7	0%	0%	+1.0	0.29
563	059	Johannesburg	4	14.6	0%	0%	-2.8	0.26
564	012	Johannesburg	4	14.5	0%	0%	-1.3	0.26
565	Providencia	Santiago de Chile	4	14.4	0%	0%	+0.6	0.28
566	Lichtenberg	Berlin	4	14.4	1%	0%	+5.9	0.46
567	046	Johannesburg	4	14.3	0%	0%	+2.4	0.34
568	028	Johannesburg	4	14.2	0%	0%	-0.5	0.27
569	030	Johannesburg	4	14.2	0%	0%	-1.0	0.27
570	Demra	Dhaka	2	14.1	9%	0%	+3.8	0.44
571	Mandaqui	Sao Paulo	4	14.0	0%	0%	+4.9	0.43
572	060	Johannesburg	4	14.0	0%	0%	-3.8	0.27
573	113	Johannesburg	4	14.0	0%	0%	+0.1	0.27
574	124	Johannesburg	4	13.9	0%	0%	-2.9	0.27
575	Peñalolén	Santiago de Chile	4	13.8	0%	0%	+0.8	0.30
576	Bukit Panjang	Singapore	4	13.8	12%	2%	+6.1	0.59
577	065	Johannesburg	4	13.8	0%	0%	-2.2	0.27
578	026	Johannesburg	4	13.7	0%	0%	+0.2	0.28
579	Jardim Ângela	Sao Paulo	4	13.7	0%	0%	+5.9	0.47
580	Pedreira	Sao Paulo	4	13.6	0%	0%	+4.2	0.42
581	014	Johannesburg	4	13.6	0%	0%	+1.8	0.34
582	Alto de Pinheiros	Sao Paulo	4	13.4	0%	0%	+4.9	0.45
583	131	Johannesburg	4	13.3	0%	0%	-1.2	0.28
584	013	Johannesburg	4	13.3	0%	0%	+1.8	0.34
585	004	Johannesburg	4	13.3	0%	0%	+1.8	0.34
586	129	Johannesburg	4	13.3	0%	0%	+1.8	0.34
587	040	Johannesburg	4	13.3	0%	0%	-0.3	0.28
588	Hortaleza	Madrid	1	13.2	8%	0%	+0.5	0.34
589	Alimosho	Lagos	4	13.1	11%	0%	+0.6	0.36
590	035	Johannesburg	4	13.0	0%	0%	-3.6	0.29
591	135	Johannesburg	4	12.9	0%	0%	+0.2	0.30
592	Jianghan	Wuhan	3	12.9	0%	0%	+0.7	0.32
593	Municipio V	Rome	3	12.9	6%	0%	+2.0	0.39
594	010	Johannesburg	4	12.6	0%	0%	+1.5	0.35
595	Kosofe	Lagos	4	12.6	4%	0%	-3.1	0.32
596	039	Johannesburg	4	12.5	0%	0%	+0.7	0.32
597	Western Islands	Singapore	4	12.5	0%	0%	-7.2	0.30
598	064	Johannesburg	4	12.3	0%	0%	-4.4	0.30
599	Xinzhou	Wuhan	3	12.2	9%	0%	+3.8	0.48
600	003	Johannesburg	4	12.2	0%	0%	+0.4	0.32
601	Charlottenburg-Wilmersdorf	Berlin	4	12.2	0%	0%	+4.8	0.47
602	120	Johannesburg	4	12.1	0%	0%	+2.3	0.39
603	105	Johannesburg	4	12.0	0%	0%	+0.6	0.33
604	034	Johannesburg	4	11.8	0%	0%	+0.2	0.32
605	007	Johannesburg	4	11.8	0%	0%	+2.8	0.41
606	121	Johannesburg	4	11.7	0%	0%	+2.0	0.38
607	049	Johannesburg	4	11.7	0%	0%	+0.8	0.34
608	Amuwo Odofin	Lagos	4	11.6	3%	0%	-0.5	0.33
609	033	Johannesburg	4	11.5	0%	0%	-4.4	0.32
610	058	Johannesburg	4	11.5	0%	0%	-2.3	0.32
611	008	Johannesburg	4	11.3	0%	0%	+0.8	0.35
612	Sarrià-Sant Gervasi	Barcelona	3	11.3	21%	0%	+1.1	0.46
613	Cuajimalpa de Morelos	Mexico City	1	11.3	5%	0%	+3.7	0.48
614	District C	Houston	3	11.3	14%	0%	+0.7	0.42
615	009	Johannesburg	4	11.2	0%	0%	+1.1	0.36
616	12e arrondissement	Paris	4	11.2	25%	0%	+2.4	0.53
617	Municipio I	Rome	3	11.1	0%	0%	-0.2	0.33
618	Cidade Tiradentes	Sao Paulo	4	11.1	0%	0%	+3.5	0.45
619	Fuencarral - El Pardo	Madrid	1	11.0	13%	0%	-0.7	0.39
620	050	Johannesburg	4	10.9	0%	0%	-1.7	0.33
621	001	Johannesburg	4	10.8	0%	0%	-1.3	0.33
622	100	Johannesburg	4	10.8	0%	0%	-1.4	0.33
623	Marzahn-Hellersdorf	Berlin	4	10.8	0%	0%	+5.0	0.50
624	Sengkang	Singapore	4	10.8	21%	0%	+2.3	0.52
625	006	Johannesburg	4	10.8	0%	0%	+2.6	0.42
626	Lo Barnechea	Santiago de Chile	4	10.7	0%	0%	+1.7	0.39
627	District D	Houston	3	10.7	10%	0%	+2.1	0.46
628	029	Johannesburg	4	10.7	0%	0%	-0.6	0.34
629	036	Johannesburg	4	10.7	0%	0%	-2.6	0.34
630	Juárez	Monterrey	2	10.7	19%	0%	-3.2	0.43
631	002	Johannesburg	4	10.6	0%	0%	-0.3	0.34
632	Jiangxia	Wuhan	3	10.6	7%	0%	+1.1	0.41
633	Perus	Sao Paulo	4	10.5	0%	0%	+5.3	0.52
634	District K	Houston	3	10.4	8%	0%	+2.8	0.48
635	Seletar	Singapore	4	10.4	7%	0%	+3.9	0.51
636	057	Johannesburg	4	10.3	0%	0%	-1.6	0.34
637	022	Johannesburg	4	10.3	0%	0%	-3.5	0.34
638	José Bonifácio	Sao Paulo	4	10.3	0%	0%	+3.8	0.47
639	Municipio X	Rome	3	10.1	5%	0%	+3.3	0.48
640	037	Johannesburg	4	10.1	0%	0%	-4.9	0.35
641	Las Condes	Santiago de Chile	4	10.1	0%	0%	+0.4	0.36
642	District G	Houston	3	10.0	18%	0%	+1.1	0.48
643	019	Johannesburg	4	9.9	0%	0%	-4.6	0.35
644	017	Johannesburg	4	9.9	0%	0%	-1.9	0.35
645	Jaraguá	Sao Paulo	4	9.8	0%	0%	+4.8	0.51
646	055	Johannesburg	4	9.8	0%	0%	-2.7	0.35
647	Pankow	Berlin	4	9.8	0%	0%	+5.0	0.52
648	082	Johannesburg	4	9.6	0%	0%	-0.7	0.36
649	Treptow-Köpenick	Berlin	4	9.6	0%	0%	+4.5	0.51
650	038	Johannesburg	4	9.5	0%	0%	-1.1	0.36
651	068	Johannesburg	4	9.5	0%	0%	-1.0	0.36
652	069	Johannesburg	4	9.4	0%	0%	-2.1	0.36
653	La Reina	Santiago de Chile	4	9.4	0%	0%	+0.1	0.37
654	005	Johannesburg	4	9.3	0%	0%	+0.7	0.39
655	053	Johannesburg	4	9.3	0%	0%	-1.1	0.36
656	Yishun	Singapore	4	9.2	20%	0%	+1.2	0.50
657	Municipio VII	Rome	3	9.2	3%	0%	+1.6	0.44
658	032	Johannesburg	4	9.2	0%	0%	+1.3	0.41
659	Moratalaz	Madrid	1	9.0	2%	0%	-0.6	0.38
660	North-Eastern Islands	Singapore	4	9.0	0%	0%	+5.4	0.69
661	056	Johannesburg	4	8.9	0%	0%	-3.5	0.37
662	Anhanguera	Sao Paulo	4	8.9	0%	0%	+5.3	0.59
663	025	Johannesburg	4	8.9	0%	0%	-2.3	0.37
664	110	Johannesburg	4	8.7	0%	0%	+1.6	0.43
665	Iguatemi	Sao Paulo	4	8.7	0%	0%	+3.1	0.48
666	122	Johannesburg	4	8.6	0%	0%	+1.2	0.42
667	Tremembé	Sao Paulo	4	8.6	0%	0%	+3.8	0.50
668	112	Johannesburg	4	8.5	0%	0%	+1.4	0.43
669	Vitacura	Santiago de Chile	4	8.1	0%	0%	-0.6	0.39
670	024	Johannesburg	4	8.0	0%	0%	-1.9	0.39
671	16e arrondissement	Paris	4	8.0	17%	0%	+1.0	0.51
672	Municipio II	Rome	3	8.0	1%	0%	-1.9	0.39
673	District E	Houston	3	7.9	5%	0%	+2.0	0.48
674	084	Johannesburg	4	7.6	0%	0%	+0.3	0.41
675	119	Johannesburg	4	7.6	0%	0%	-2.0	0.40
676	066	Johannesburg	4	7.4	0%	0%	-2.8	0.40
677	018	Johannesburg	4	7.3	0%	0%	-1.8	0.40
678	011	Johannesburg	4	7.3	0%	0%	-3.1	0.40
679	Mandai	Singapore	4	7.3	16%	0%	+2.0	0.67
680	118	Johannesburg	4	7.2	0%	0%	-1.3	0.41
681	127	Johannesburg	4	7.2	0%	0%	+0.5	0.42
682	Reinickendorf	Berlin	4	7.1	1%	0%	+3.3	0.52
683	091	Johannesburg	4	7.0	0%	0%	-1.5	0.41
684	Badagry	Lagos	4	6.9	7%	0%	+1.9	0.51
685	Hannan	Wuhan	3	6.8	0%	0%	-3.7	0.42
686	109	Johannesburg	4	6.8	0%	0%	+0.3	0.42
687	054	Johannesburg	4	6.5	0%	0%	-3.3	0.42
688	071	Johannesburg	4	6.5	0%	0%	+0.5	0.44
689	Parque do Carmo	Sao Paulo	4	6.5	0%	0%	+3.9	0.56
690	092	Johannesburg	4	6.3	0%	0%	+0.4	0.44
691	070	Johannesburg	4	6.3	0%	0%	-1.9	0.42
692	Epe	Lagos	4	6.2	5%	0%	+2.1	0.52
693	Municipio VI	Rome	3	6.1	1%	0%	+2.5	0.51
694	086	Johannesburg	4	6.1	0%	0%	-0.7	0.43
695	067	Johannesburg	4	6.0	0%	0%	-4.1	0.43
696	Ibeju Lekki	Lagos	4	5.9	2%	0%	-0.9	0.44
697	Municipio IV	Rome	3	5.5	1%	0%	+1.8	0.51
698	Western Water Catchment	Singapore	4	5.5	22%	0%	-2.0	0.59
699	096	Johannesburg	4	5.5	0%	0%	-2.7	0.44
700	Bukit Batok	Singapore	4	5.1	16%	5%	-0.0	0.56
701	101	Johannesburg	4	5.0	0%	0%	-2.9	0.45
702	Moncloa - Aravaca	Madrid	1	5.0	2%	0%	-1.5	0.46
703	093	Johannesburg	4	4.9	0%	0%	-2.0	0.45
704	Uttar Khan	Dhaka	2	4.7	13%	0%	-0.7	0.52
705	085	Johannesburg	4	4.5	0%	0%	-0.5	0.46
706	074	Johannesburg	4	4.3	0%	0%	-1.5	0.46
707	125	Johannesburg	4	4.3	0%	0%	-2.4	0.46
708	115	Johannesburg	4	4.2	0%	0%	-2.0	0.47
709	081	Johannesburg	4	4.1	0%	0%	-1.4	0.47
710	114	Johannesburg	4	3.9	0%	0%	-2.5	0.47
711	132	Johannesburg	4	3.8	0%	0%	+0.3	0.48
712	089	Johannesburg	4	3.7	0%	0%	-1.4	0.48
713	Municipio IX	Rome	3	3.5	3%	0%	+1.0	0.52
714	Steglitz-Zehlendorf	Berlin	4	3.5	0%	0%	+1.6	0.53
715	073	Johannesburg	4	3.5	0%	0%	-3.3	0.48
716	102	Johannesburg	4	3.4	0%	0%	-2.6	0.48
717	103	Johannesburg	4	3.2	0%	0%	-2.5	0.49
718	126	Johannesburg	4	3.2	0%	0%	-3.0	0.49
719	Spandau	Berlin	4	3.1	1%	0%	+0.1	0.50
720	104	Johannesburg	4	3.0	0%	0%	-3.3	0.49
721	Municipio XIII	Rome	3	2.8	1%	0%	-1.7	0.50
722	083	Johannesburg	4	2.7	0%	0%	-0.8	0.50
723	087	Johannesburg	4	2.6	0%	0%	-1.7	0.50
724	Municipio XI	Rome	3	2.5	1%	0%	-0.1	0.51
725	134	Johannesburg	4	2.5	0%	0%	-3.6	0.50
726	106	Johannesburg	4	2.4	0%	0%	-1.2	0.50
727	094	Johannesburg	4	2.4	0%	0%	-1.7	0.50
728	099	Johannesburg	4	2.1	0%	0%	-0.3	0.51
729	023	Johannesburg	4	2.1	0%	0%	-0.9	0.51
730	098	Johannesburg	4	2.0	0%	0%	-1.3	0.51
731	117	Johannesburg	4	2.0	0%	0%	-1.2	0.51
732	090	Johannesburg	4	1.9	0%	0%	-2.9	0.51
733	Tengah	Singapore	4	1.9	7%	0%	-5.3	0.56
734	Huangpi	Wuhan	3	1.8	0%	0%	-0.5	0.52
735	Municipio XII	Rome	3	1.8	0%	0%	-0.8	0.52
736	097	Johannesburg	4	1.5	0%	0%	-1.4	0.52
737	072	Johannesburg	4	1.4	0%	0%	-1.0	0.52
738	088	Johannesburg	4	1.3	0%	0%	-0.7	0.52
739	Parelheiros	Sao Paulo	4	0.8	0%	0%	+0.5	0.67
740	Municipio XV	Rome	3	0.6	1%	0%	+0.1	0.59
741	Santiago	Monterrey	2	0.4	2%	0%	-2.8	0.58
742	Municipio VIII	Rome	3	0.4	0%	0%	-0.1	0.54
743	Simpang	Singapore	4	0.3	1%	0%	-1.0	0.71
744	Central Water Catchment	Singapore	4	0.3	1%	0%	-2.5	0.72
745	Municipio III	Rome	3	0.0	0%	0%	-0.2	0.56
746	Municipio XIV	Rome	3	0.0	0%	0%	-0.5	0.58
747	Marsilac	Sao Paulo	4	0.0	0%	0%	-1.2	0.76

Limits

Units are not equal in area, population or legal power. Names follow the source boundary (OSM, geoBoundaries, municipal open data). The index remains surface exposure: it does not say who dies, who works outdoors, or who has cooling.