Rural poverty headcount ratio at national poverty lines (% of rural population), including noncomparable values

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Rural poverty headcount ratio is the percentage of the rural 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 rural 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: 108
Frequency: Annual    Earliest: 1984-12     Latest: 2015-12

2009-12 2010-12 2011-12 2012-12 2013-12 2014-12 2015-12
1) Afghanistan
38.3
2) Albania
15.3
3) Armenia
34.9
36
34.5
32.1
31.7
29.9
4) Bangladesh
35.2
5) Belarus
9.5
8.9
11.5
9.4
9
7.9
6) Benin
38.4
39.7
7) Bhutan
16.7
8) Bolivia
66.4
61.3
61.2
59.94
57.6
9) Botswana
24.3
10) Burkina Faso
52.8
47.5
11) Burundi
68.8
12) Cambodia
27.5
25.3
23.6
20.8
13) Cameroon
56.8
14) Chad
52.5
15) Chile
43.6
37.7
27.9
16) China
17.2
12.7
10.2
8.5
7.2
17) Colombia
53.7
49.7
46.1
46.8
42.8
41.4
40.3
18) Congo
74.8
19) Costa Rica
19.2
27.4
27.1
27.1
27.8
30.3
27.9
20) DR Congo
64.9
21) Dominican Republic
50.8
50.4
48.4
49.4
51.2
22) Ecuador
57.5
53
50.9
49.1
42
35.3
23) Egypt
32.3
24) El Salvador
46.5
43.2
50.2
43.3
36
37.9
25) Ethiopia
30.4
26) Gambia
73.9
27) Georgia
20.6
24.7
21.9
18.8
28) Ghana
37.9
29) Guatemala
76.1
30) Guinea Bissau
75.6
31) Guinea
64.7
32) Haiti
74.9
33) Honduras
64.4
65.4
65.2
69.3
68.5
65
34) India
33.8
25.7
35) Indonesia
17.4
16.6
15.7
15.1
14.3
14.2
36) Iraq
30.6
37) Ivory Coast
56.8
38) Jordan
16.8
39) Kazakhstan
12.1
10.1
8.8
6.1
4.9
4.7
40) Kosovo
35.3
30.7
31.5
41) Kyrgyzstan
37.1
39.5
40.4
39.6
41.4
32.6
42) Laos
28.6
43) Lesotho
61.2
44) Madagascar
81.5
45) Malawi
56.6
46) Malaysia
8.4
3.4
1.6
47) Maldives
14.3
48) Mali
50.6
49) Mexico
65.9
62.8
62.4
50) Moldova
36.3
30.3
25
22.8
18.8
51) Mongolia
49
43.2
35.4
26.4
52) Montenegro
14.8
11.3
18.4
18.1
9.7
53) Namibia
37.4
54) Nepal
27.4
55) Nicaragua
63.3
50.1
56) Niger
55.2
57) Nigeria
52.8
58) Pakistan
35.6
59) Panama
59.6
54.1
50.4
49.9
60) Papua New Guinea
41.6
61) Paraguay
49.8
48.9
44.8
42.1
33.8
32
62) Peru
66.7
61
56.1
53
48
46
63) Rwanda
48.7
64) Sao Tome and Principe
59.4
65) Senegal
57.1
66) Serbia
9.6
13.6
67) Sierra Leone
66.1
68) South Africa
77
69) South Sudan
55.4
70) Sri Lanka
9.4
7.6
71) Sudan
57.6
72) Swaziland
73.1
73) Tajikistan
49.2
37.4
36.1
74) Tanzania
33.3
75) Thailand
23.6
22.4
16.7
16
13.9
76) Togo
73.4
68.7
77) Turkey
11.9
9.6
6.8
5.9
5.1
78) Uganda
27.2
22.4
79) Uruguay
9.1
6.1
6
4.1
3
3
80) Vietnam
26.9
22.1
18.6
81) West Bank and Gaza
26.6
21.9
19.4
82) Zambia
77.9
83) Zimbabwe
84.3
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