Urban poverty headcount ratio at national poverty lines (% of urban population), including noncomparable values

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Urban poverty headcount ratio is the percentage of the urban population living below the national poverty lines.......Source: World Bank, Global Poverty Working Group. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines. Data are shown for multiple years......Statistical concept and methodology: Poverty headcount ratio among the urban population is measured based on national (i.e. country-specific) poverty lines. A country may have a unique national poverty line or separate poverty lines for rural and urban areas, or for different geographic areas to reflect differences in the cost of living or sometimes to reflect differences in diets and consumption baskets. Poverty estimates at national poverty lines are computed from household survey data collected from nationally representative samples of households. These data must contain sufficiently detailed information to compute a comprehensive estimate of total household income or consumption (including consumption or income from own production), from which it is possible to construct a correctly weighted distribution of per capita consumption or income. National poverty lines are the benchmark for estimating poverty indicators that are consistent with the country's specific economic and social circumstances. National poverty lines reflect local perceptions of the level and composition of consumption or income needed to be non-poor. The perceived boundary between poor and non-poor typically rises with the average income of a country and thus does not provide a uniform measure for comparing poverty rates across countries. While poverty rates at national poverty lines should not be used for comparing poverty rates across countries, they are appropriate for guiding and monitoring the results of country-specific national poverty reduction strategies. Almost all national poverty lines are anchored to the cost of a food bundle - based on the prevailing national diet of the poor - that provides adequate nutrition for good health and normal activity, plus an allowance for nonfood spending. National poverty lines must be adjusted for inflation between survey years to remain constant in real terms and thus allow for meaningful comparisons of poverty over time. Because diets and consumption baskets change over time, countries periodically recalculate the poverty line based on new survey data. In such cases the new poverty lines should be deflated to obtain comparable poverty estimates from earlier years. The data is based on the two most recent years for which survey data are available. Survey year is the year in which the underlying household survey data were collected or, when the data collection period bridged two calendar years, the year in which most of the data were collected.
Source: The World Bank: Poverty and Equity database    # of Reporting Countries: 109
Frequency: Annual    Earliest: 1984-12     Latest: 2015-12

2009-12 2010-12 2011-12 2012-12 2013-12 2014-12 2015-12
1) Afghanistan
27.6
2) Albania
13.6
3) Argentina
13.2
9.9
6.5
5.4
4.7
4) Armenia
33.7
35.7
35.2
32.5
32.2
30
5) Bangladesh
21.3
6) Belarus
4
3.8
5.8
5.2
4.2
3.7
7) Benin
29.8
31.4
8) Bhutan
1.8
9) Bolivia
43.55
36.8
34.66
28.96
30.6
10) Botswana
11
11) Burkina Faso
25.2
13.7
12) Burundi
27.6
13) Cambodia
8
8.5
8.7
6.4
14) Cameroon
8.9
15) Chad
20.9
16) Chile
22.6
19.9
12.4
17) Colombia
36
33.3
30.3
28.4
26.9
24.6
24.1
18) Costa Rica
18
19
19.7
18.2
18.2
19.5
19.4
19) DR Congo
61.6
20) Dominican Republic
37.9
37.3
36.5
36.8
36.3
21) Ecuador
25
22.5
17.4
16.1
17.6
16.4
22) Egypt
15.3
23) El Salvador
33.3
33
35.4
29.9
26.2
28.5
24) Ethiopia
25.7
25) Gambia
32.7
26) Georgia
14.2
17.1
13.3
10.5
27) Ghana
10.6
28) Guatemala
42.16
29) Guinea Bissau
51
30) Guinea
35.4
31) Haiti
40.6
32) Honduras
52.8
54.3
58.5
63.6
60.4
61
33) India
20.9
13.7
34) Indonesia
10.7
9.9
9.2
8.8
8.4
8.3
35) Iraq
14.8
36) Ivory Coast
35.9
37) Jordan
13.9
38) Kazakhstan
4.1
3.7
2.4
1.9
1.3
1.3
39) Kosovo
33.1
26.7
26.7
40) Kyrgyzstan
21.9
23.6
30.7
35.4
28.5
26.9
41) Laos
10
42) Lesotho
39.6
43) Madagascar
51.1
44) Malawi
17.3
45) Malaysia
1.7
1
0.3
46) Maldives
18.2
47) Mali
18.9
48) Mexico
47.8
48.3
50.5
49) Moldova
12.6
10.4
7.4
8.2
50) Mongolia
33.2
28.7
23.3
18.8
51) Montenegro
2.6
4
4.4
8.1
7.9
52) Namibia
14.6
53) Nepal
15.5
54) Nicaragua
26.8
14.8
55) Niger
18.6
56) Nigeria
34.1
57) Pakistan
18.24
58) Panama
19.1
16.6
15.3
14.7
59) Papua New Guinea
29.3
60) Paraguay
24.7
24.7
23.9
16.4
17
16.2
61) Peru
21.3
20
18
16.6
16.1
15.3
62) Philippines
12.59
13.03
63) Rwanda
22.1
64) Sao Tome and Principe
63.8
65) Senegal
33.1
66) Serbia
4.9
5.7
67) Sierra Leone
31.2
68) South Africa
39.2
69) South Sudan
24.4
70) Sri Lanka
5.3
2.1
71) Sudan
26.5
72) Swaziland
31.1
73) Tajikistan
41.8
27.8
23.5
74) Tanzania
15.5
75) Thailand
10.2
8.7
9
8.8
7.7
76) Togo
34.6
35.9
77) Turkey
1
1
0.9
0.6
0.6
78) Uganda
9.1
9.6
79) Uruguay
21.5
18.7
14.3
13.1
12
10.1
80) Vietnam
6
5.4
3.8
81) West Bank and Gaza
26.2
25.8
26.1
82) Zambia
27.5
83) Zimbabwe
46.5
CSV