Baselight

World Bank Poverty And Inequality Platform (PIP)

@owid.world_bank_pip

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About this Dataset

World Bank Poverty And Inequality Platform (PIP)

The Poverty and Inequality Platform (PIP) is an interactive computational tool that offers users quick access to the World Bank’s estimates of poverty, inequality, and shared prosperity. PIP provides a comprehensive view of global, regional, and country-level trends for more than 160 economies around the world.

Tables

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip.owid_income_consumption_2017_total_shortfall_4000_3
  • 33.86 KB
  • 2369 rows
  • 17 columns
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CREATE TABLE owid_income_consumption_2017_total_shortfall_4000_3 (
  "country" VARCHAR,
  "year" INTEGER,
  "consumption_spell_1" BIGINT,
  "consumption_spell_2" BIGINT,
  "consumption_spell_3" BIGINT,
  "consumption_spell_4" BIGINT,
  "consumption_spell_5" BIGINT,
  "consumption_spell_6" BIGINT,
  "consumption_spell_7" BIGINT,
  "income_spell_1" BIGINT,
  "income_spell_2" BIGINT,
  "income_spell_3" UINTEGER,
  "income_spell_4" UINTEGER,
  "income_spell_5" UINTEGER,
  "income_spell_6" UINTEGER,
  "income_spell_7" UINTEGER,
  "income_spell_8" UINTEGER
);

World Bank Poverty And Inequality Platform (PIP)

@owid.world_bank_pip.owid_income_consumption_2017_total_shortfall_40_median_1
  • 29.01 KB
  • 2309 rows
  • 17 columns
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CREATE TABLE owid_income_consumption_2017_total_shortfall_40_median_1 (
  "country" VARCHAR,
  "year" INTEGER,
  "consumption_spell_1" FLOAT,
  "consumption_spell_2" FLOAT,
  "consumption_spell_3" FLOAT,
  "consumption_spell_4" FLOAT,
  "consumption_spell_5" FLOAT,
  "consumption_spell_6" FLOAT,
  "consumption_spell_7" FLOAT,
  "income_spell_1" FLOAT,
  "income_spell_2" FLOAT,
  "income_spell_3" FLOAT,
  "income_spell_4" FLOAT,
  "income_spell_5" FLOAT,
  "income_spell_6" FLOAT,
  "income_spell_7" FLOAT,
  "income_spell_8" FLOAT
);

World Bank Poverty And Inequality Platform (PIP)

@owid.world_bank_pip.owid_income_consumption_2017_total_shortfall_40_median_2
  • 30.07 KB
  • 2412 rows
  • 17 columns
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CREATE TABLE owid_income_consumption_2017_total_shortfall_40_median_2 (
  "country" VARCHAR,
  "year" INTEGER,
  "consumption_spell_1" FLOAT,
  "consumption_spell_2" FLOAT,
  "consumption_spell_3" FLOAT,
  "consumption_spell_4" FLOAT,
  "consumption_spell_5" FLOAT,
  "consumption_spell_6" FLOAT,
  "consumption_spell_7" FLOAT,
  "income_spell_1" FLOAT,
  "income_spell_2" FLOAT,
  "income_spell_3" FLOAT,
  "income_spell_4" FLOAT,
  "income_spell_5" FLOAT,
  "income_spell_6" FLOAT,
  "income_spell_7" FLOAT,
  "income_spell_8" FLOAT
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip.owid_income_consumption_2017_total_shortfall_40_median_3
  • 29.84 KB
  • 2369 rows
  • 17 columns
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CREATE TABLE owid_income_consumption_2017_total_shortfall_40_median_3 (
  "country" VARCHAR,
  "year" INTEGER,
  "consumption_spell_1" FLOAT,
  "consumption_spell_2" FLOAT,
  "consumption_spell_3" FLOAT,
  "consumption_spell_4" FLOAT,
  "consumption_spell_5" FLOAT,
  "consumption_spell_6" FLOAT,
  "consumption_spell_7" FLOAT,
  "income_spell_1" FLOAT,
  "income_spell_2" FLOAT,
  "income_spell_3" FLOAT,
  "income_spell_4" FLOAT,
  "income_spell_5" FLOAT,
  "income_spell_6" FLOAT,
  "income_spell_7" FLOAT,
  "income_spell_8" FLOAT
);

World Bank Poverty And Inequality Platform (PIP)

@owid.world_bank_pip.owid_income_consumption_2017_total_shortfall_50_median_1
  • 29.01 KB
  • 2309 rows
  • 17 columns
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CREATE TABLE owid_income_consumption_2017_total_shortfall_50_median_1 (
  "country" VARCHAR,
  "year" INTEGER,
  "consumption_spell_1" FLOAT,
  "consumption_spell_2" FLOAT,
  "consumption_spell_3" FLOAT,
  "consumption_spell_4" FLOAT,
  "consumption_spell_5" FLOAT,
  "consumption_spell_6" FLOAT,
  "consumption_spell_7" FLOAT,
  "income_spell_1" FLOAT,
  "income_spell_2" FLOAT,
  "income_spell_3" FLOAT,
  "income_spell_4" FLOAT,
  "income_spell_5" FLOAT,
  "income_spell_6" FLOAT,
  "income_spell_7" FLOAT,
  "income_spell_8" FLOAT
);

World Bank Poverty And Inequality Platform (PIP)

@owid.world_bank_pip.owid_income_consumption_2017_total_shortfall_50_median_2
  • 30.07 KB
  • 2412 rows
  • 17 columns
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CREATE TABLE owid_income_consumption_2017_total_shortfall_50_median_2 (
  "country" VARCHAR,
  "year" INTEGER,
  "consumption_spell_1" FLOAT,
  "consumption_spell_2" FLOAT,
  "consumption_spell_3" FLOAT,
  "consumption_spell_4" FLOAT,
  "consumption_spell_5" FLOAT,
  "consumption_spell_6" FLOAT,
  "consumption_spell_7" FLOAT,
  "income_spell_1" FLOAT,
  "income_spell_2" FLOAT,
  "income_spell_3" FLOAT,
  "income_spell_4" FLOAT,
  "income_spell_5" FLOAT,
  "income_spell_6" FLOAT,
  "income_spell_7" FLOAT,
  "income_spell_8" FLOAT
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip.owid_income_consumption_2017_total_shortfall_50_median_3
  • 29.91 KB
  • 2369 rows
  • 17 columns
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CREATE TABLE owid_income_consumption_2017_total_shortfall_50_median_3 (
  "country" VARCHAR,
  "year" INTEGER,
  "consumption_spell_1" FLOAT,
  "consumption_spell_2" FLOAT,
  "consumption_spell_3" FLOAT,
  "consumption_spell_4" FLOAT,
  "consumption_spell_5" FLOAT,
  "consumption_spell_6" FLOAT,
  "consumption_spell_7" FLOAT,
  "income_spell_1" FLOAT,
  "income_spell_2" FLOAT,
  "income_spell_3" FLOAT,
  "income_spell_4" FLOAT,
  "income_spell_5" FLOAT,
  "income_spell_6" FLOAT,
  "income_spell_7" FLOAT,
  "income_spell_8" FLOAT
);

World Bank Poverty And Inequality Platform (PIP)

@owid.world_bank_pip.owid_income_consumption_2017_total_shortfall_60_median_1
  • 29.01 KB
  • 2309 rows
  • 17 columns
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CREATE TABLE owid_income_consumption_2017_total_shortfall_60_median_1 (
  "country" VARCHAR,
  "year" INTEGER,
  "consumption_spell_1" FLOAT,
  "consumption_spell_2" FLOAT,
  "consumption_spell_3" FLOAT,
  "consumption_spell_4" FLOAT,
  "consumption_spell_5" FLOAT,
  "consumption_spell_6" FLOAT,
  "consumption_spell_7" FLOAT,
  "income_spell_1" FLOAT,
  "income_spell_2" FLOAT,
  "income_spell_3" FLOAT,
  "income_spell_4" FLOAT,
  "income_spell_5" FLOAT,
  "income_spell_6" FLOAT,
  "income_spell_7" FLOAT,
  "income_spell_8" FLOAT
);

World Bank Poverty And Inequality Platform (PIP)

@owid.world_bank_pip.owid_income_consumption_2017_total_shortfall_60_median_2
  • 30.07 KB
  • 2412 rows
  • 17 columns
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CREATE TABLE owid_income_consumption_2017_total_shortfall_60_median_2 (
  "country" VARCHAR,
  "year" INTEGER,
  "consumption_spell_1" FLOAT,
  "consumption_spell_2" FLOAT,
  "consumption_spell_3" FLOAT,
  "consumption_spell_4" FLOAT,
  "consumption_spell_5" FLOAT,
  "consumption_spell_6" FLOAT,
  "consumption_spell_7" FLOAT,
  "income_spell_1" FLOAT,
  "income_spell_2" FLOAT,
  "income_spell_3" FLOAT,
  "income_spell_4" FLOAT,
  "income_spell_5" FLOAT,
  "income_spell_6" FLOAT,
  "income_spell_7" FLOAT,
  "income_spell_8" FLOAT
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip.owid_income_consumption_2017_total_shortfall_60_median_3
  • 29.91 KB
  • 2369 rows
  • 17 columns
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CREATE TABLE owid_income_consumption_2017_total_shortfall_60_median_3 (
  "country" VARCHAR,
  "year" INTEGER,
  "consumption_spell_1" FLOAT,
  "consumption_spell_2" FLOAT,
  "consumption_spell_3" FLOAT,
  "consumption_spell_4" FLOAT,
  "consumption_spell_5" FLOAT,
  "consumption_spell_6" FLOAT,
  "consumption_spell_7" FLOAT,
  "income_spell_1" FLOAT,
  "income_spell_2" FLOAT,
  "income_spell_3" FLOAT,
  "income_spell_4" FLOAT,
  "income_spell_5" FLOAT,
  "income_spell_6" FLOAT,
  "income_spell_7" FLOAT,
  "income_spell_8" FLOAT
);

World Bank Poverty And Inequality Platform (PIP)

@owid.world_bank_pip.owid_income_consumption_2017_total_shortfall_685_1
  • 28.96 KB
  • 2309 rows
  • 17 columns
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CREATE TABLE owid_income_consumption_2017_total_shortfall_685_1 (
  "country" VARCHAR,
  "year" INTEGER,
  "consumption_spell_1" FLOAT,
  "consumption_spell_2" FLOAT,
  "consumption_spell_3" FLOAT,
  "consumption_spell_4" FLOAT,
  "consumption_spell_5" FLOAT,
  "consumption_spell_6" FLOAT,
  "consumption_spell_7" FLOAT,
  "income_spell_1" FLOAT,
  "income_spell_2" FLOAT,
  "income_spell_3" FLOAT,
  "income_spell_4" FLOAT,
  "income_spell_5" FLOAT,
  "income_spell_6" FLOAT,
  "income_spell_7" FLOAT,
  "income_spell_8" FLOAT
);

World Bank Poverty And Inequality Platform (PIP)

@owid.world_bank_pip.owid_income_consumption_2017_total_shortfall_685_2
  • 30.11 KB
  • 2412 rows
  • 17 columns
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CREATE TABLE owid_income_consumption_2017_total_shortfall_685_2 (
  "country" VARCHAR,
  "year" INTEGER,
  "consumption_spell_1" FLOAT,
  "consumption_spell_2" FLOAT,
  "consumption_spell_3" FLOAT,
  "consumption_spell_4" FLOAT,
  "consumption_spell_5" FLOAT,
  "consumption_spell_6" FLOAT,
  "consumption_spell_7" FLOAT,
  "income_spell_1" FLOAT,
  "income_spell_2" FLOAT,
  "income_spell_3" FLOAT,
  "income_spell_4" FLOAT,
  "income_spell_5" FLOAT,
  "income_spell_6" FLOAT,
  "income_spell_7" FLOAT,
  "income_spell_8" FLOAT
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip.owid_income_consumption_2017_total_shortfall_685_3
  • 29.82 KB
  • 2369 rows
  • 17 columns
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CREATE TABLE owid_income_consumption_2017_total_shortfall_685_3 (
  "country" VARCHAR,
  "year" INTEGER,
  "consumption_spell_1" FLOAT,
  "consumption_spell_2" FLOAT,
  "consumption_spell_3" FLOAT,
  "consumption_spell_4" FLOAT,
  "consumption_spell_5" BIGINT,
  "consumption_spell_6" UINTEGER,
  "consumption_spell_7" UINTEGER,
  "income_spell_1" FLOAT,
  "income_spell_2" FLOAT,
  "income_spell_3" FLOAT,
  "income_spell_4" FLOAT,
  "income_spell_5" UINTEGER,
  "income_spell_6" UINTEGER,
  "income_spell_7" UINTEGER,
  "income_spell_8" UINTEGER
);

World Bank Poverty And Inequality Platform (PIP)

@owid.world_bank_pip.owid_income_consumption_2017_unsmoothed_1
  • 2.4 MB
  • 2782 rows
  • 174 columns
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CREATE TABLE owid_income_consumption_2017_unsmoothed_1 (
  "country" VARCHAR,
  "year" INTEGER,
  "ppp_version" INTEGER,
  "reporting_level" VARCHAR,
  "welfare_type" VARCHAR,
  "survey_comparability" INTEGER,
  "comparable_spell" VARCHAR,
  "reporting_pop" FLOAT,
  "mean" FLOAT,
  "median" FLOAT,
  "mld" FLOAT,
  "gini" FLOAT,
  "polarization" FLOAT,
  "decile1_share" FLOAT,
  "decile2_share" FLOAT,
  "decile3_share" FLOAT,
  "decile4_share" FLOAT,
  "decile5_share" FLOAT,
  "decile6_share" FLOAT,
  "decile7_share" FLOAT,
  "decile8_share" FLOAT,
  "decile9_share" FLOAT,
  "decile10_share" FLOAT,
  "decile1_thr" FLOAT,
  "decile2_thr" FLOAT,
  "decile3_thr" FLOAT,
  "decile4_thr" FLOAT,
  "decile5_thr" FLOAT,
  "decile6_thr" FLOAT,
  "decile7_thr" FLOAT,
  "decile8_thr" FLOAT,
  "decile9_thr" FLOAT,
  "is_interpolated" INTEGER,
  "distribution_type" VARCHAR,
  "estimation_type" VARCHAR,
  "headcount_40_median" FLOAT,
  "headcount_50_median" FLOAT,
  "headcount_60_median" FLOAT,
  "headcount_ratio_40_median" FLOAT,
  "headcount_ratio_50_median" FLOAT,
  "headcount_ratio_60_median" FLOAT,
  "income_gap_ratio_40_median" FLOAT,
  "income_gap_ratio_50_median" FLOAT,
  "income_gap_ratio_60_median" FLOAT,
  "poverty_gap_index_40_median" FLOAT,
  "poverty_gap_index_50_median" FLOAT,
  "poverty_gap_index_60_median" FLOAT,
  "avg_shortfall_40_median" FLOAT,
  "avg_shortfall_50_median" FLOAT,
  "avg_shortfall_60_median" FLOAT,
  "total_shortfall_40_median" FLOAT,
  "total_shortfall_50_median" FLOAT,
  "total_shortfall_60_median" FLOAT,
  "poverty_severity_40_median" FLOAT,
  "poverty_severity_50_median" FLOAT,
  "poverty_severity_60_median" FLOAT,
  "watts_40_median" FLOAT,
  "watts_50_median" FLOAT,
  "watts_60_median" FLOAT,
  "headcount_100" FLOAT,
  "headcount_1000" FLOAT,
  "headcount_2000" FLOAT,
  "headcount_215" FLOAT,
  "headcount_3000" FLOAT,
  "headcount_365" FLOAT,
  "headcount_4000" FLOAT,
  "headcount_685" FLOAT,
  "headcount_ratio_100" FLOAT,
  "headcount_ratio_1000" FLOAT,
  "headcount_ratio_2000" FLOAT,
  "headcount_ratio_215" FLOAT,
  "headcount_ratio_3000" FLOAT,
  "headcount_ratio_365" FLOAT,
  "headcount_ratio_4000" FLOAT,
  "headcount_ratio_685" FLOAT,
  "income_gap_ratio_100" FLOAT,
  "income_gap_ratio_1000" FLOAT,
  "income_gap_ratio_2000" FLOAT,
  "income_gap_ratio_215" FLOAT,
  "income_gap_ratio_3000" FLOAT,
  "income_gap_ratio_365" FLOAT,
  "income_gap_ratio_4000" FLOAT,
  "income_gap_ratio_685" FLOAT,
  "poverty_gap_index_100" FLOAT,
  "poverty_gap_index_1000" FLOAT,
  "poverty_gap_index_2000" FLOAT,
  "poverty_gap_index_215" FLOAT,
  "poverty_gap_index_3000" FLOAT,
  "poverty_gap_index_365" FLOAT,
  "poverty_gap_index_4000" FLOAT,
  "poverty_gap_index_685" FLOAT,
  "avg_shortfall_100" FLOAT,
  "avg_shortfall_1000" FLOAT,
  "avg_shortfall_2000" FLOAT,
  "avg_shortfall_215" FLOAT,
  "avg_shortfall_3000" FLOAT,
  "avg_shortfall_365" FLOAT,
  "avg_shortfall_4000" FLOAT,
  "avg_shortfall_685" FLOAT,
  "total_shortfall_100" FLOAT
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip.owid_income_consumption_2017_unsmoothed_2
  • 2.59 MB
  • 2875 rows
  • 181 columns
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CREATE TABLE owid_income_consumption_2017_unsmoothed_2 (
  "country" VARCHAR,
  "year" INTEGER,
  "reporting_level" VARCHAR,
  "welfare_type" VARCHAR,
  "ppp_version" INTEGER,
  "survey_comparability" INTEGER,
  "comparable_spell" VARCHAR,
  "reporting_pop" FLOAT,
  "mean" FLOAT,
  "median" FLOAT,
  "mld" FLOAT,
  "gini" FLOAT,
  "polarization" FLOAT,
  "decile1_share" FLOAT,
  "decile2_share" FLOAT,
  "decile3_share" FLOAT,
  "decile4_share" FLOAT,
  "decile5_share" FLOAT,
  "decile6_share" FLOAT,
  "decile7_share" FLOAT,
  "decile8_share" FLOAT,
  "decile9_share" FLOAT,
  "decile10_share" FLOAT,
  "decile1_thr" FLOAT,
  "decile2_thr" FLOAT,
  "decile3_thr" FLOAT,
  "decile4_thr" FLOAT,
  "decile5_thr" FLOAT,
  "decile6_thr" FLOAT,
  "decile7_thr" FLOAT,
  "decile8_thr" FLOAT,
  "decile9_thr" FLOAT,
  "is_interpolated" INTEGER,
  "distribution_type" VARCHAR,
  "estimation_type" VARCHAR,
  "headcount_40_median" FLOAT,
  "headcount_50_median" FLOAT,
  "headcount_60_median" FLOAT,
  "headcount_ratio_40_median" FLOAT,
  "headcount_ratio_50_median" FLOAT,
  "headcount_ratio_60_median" FLOAT,
  "income_gap_ratio_40_median" FLOAT,
  "income_gap_ratio_50_median" FLOAT,
  "income_gap_ratio_60_median" FLOAT,
  "poverty_gap_index_40_median" FLOAT,
  "poverty_gap_index_50_median" FLOAT,
  "poverty_gap_index_60_median" FLOAT,
  "avg_shortfall_40_median" FLOAT,
  "avg_shortfall_50_median" FLOAT,
  "avg_shortfall_60_median" FLOAT,
  "total_shortfall_40_median" FLOAT,
  "total_shortfall_50_median" FLOAT,
  "total_shortfall_60_median" FLOAT,
  "poverty_severity_40_median" FLOAT,
  "poverty_severity_50_median" FLOAT,
  "poverty_severity_60_median" FLOAT,
  "watts_40_median" FLOAT,
  "watts_50_median" FLOAT,
  "watts_60_median" FLOAT,
  "spl" FLOAT,
  "spr" FLOAT,
  "pg" FLOAT,
  "headcount_100" UINTEGER,
  "headcount_1000" BIGINT,
  "headcount_2000" BIGINT,
  "headcount_215" UINTEGER,
  "headcount_3000" BIGINT,
  "headcount_365" UINTEGER,
  "headcount_4000" BIGINT,
  "headcount_685" UINTEGER,
  "headcount_ratio_100" FLOAT,
  "headcount_ratio_1000" FLOAT,
  "headcount_ratio_2000" FLOAT,
  "headcount_ratio_215" FLOAT,
  "headcount_ratio_3000" FLOAT,
  "headcount_ratio_365" FLOAT,
  "headcount_ratio_4000" FLOAT,
  "headcount_ratio_685" FLOAT,
  "income_gap_ratio_100" FLOAT,
  "income_gap_ratio_1000" FLOAT,
  "income_gap_ratio_2000" FLOAT,
  "income_gap_ratio_215" FLOAT,
  "income_gap_ratio_3000" FLOAT,
  "income_gap_ratio_365" FLOAT,
  "income_gap_ratio_4000" FLOAT,
  "income_gap_ratio_685" FLOAT,
  "poverty_gap_index_100" FLOAT,
  "poverty_gap_index_1000" FLOAT,
  "poverty_gap_index_2000" FLOAT,
  "poverty_gap_index_215" FLOAT,
  "poverty_gap_index_3000" FLOAT,
  "poverty_gap_index_365" FLOAT,
  "poverty_gap_index_4000" FLOAT,
  "poverty_gap_index_685" FLOAT,
  "avg_shortfall_100" FLOAT,
  "avg_shortfall_1000" FLOAT,
  "avg_shortfall_2000" FLOAT,
  "avg_shortfall_215" FLOAT,
  "avg_shortfall_3000" FLOAT,
  "avg_shortfall_365" FLOAT
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip.owid_percentiles_income_consumption_2011_1
  • 4.14 MB
  • 267229 rows
  • 9 columns
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CREATE TABLE owid_percentiles_income_consumption_2011_1 (
  "country" VARCHAR,
  "year" INTEGER,
  "reporting_level" VARCHAR,
  "welfare_type" VARCHAR,
  "percentile" INTEGER,
  "ppp_version" INTEGER,
  "thr" FLOAT,
  "avg" FLOAT,
  "share" FLOAT
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip.owid_percentiles_income_consumption_2011_2
  • 4.5 MB
  • 285582 rows
  • 9 columns
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CREATE TABLE owid_percentiles_income_consumption_2011_2 (
  "country" VARCHAR,
  "year" INTEGER,
  "reporting_level" VARCHAR,
  "welfare_type" VARCHAR,
  "percentile" INTEGER,
  "ppp_version" INTEGER,
  "thr" FLOAT,
  "avg" FLOAT,
  "share" FLOAT
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip.owid_percentiles_income_consumption_2011_3
  • 5.69 MB
  • 279850 rows
  • 10 columns
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CREATE TABLE owid_percentiles_income_consumption_2011_3 (
  "country" VARCHAR,
  "year" INTEGER,
  "reporting_level" VARCHAR,
  "welfare_type" VARCHAR,
  "percentile" INTEGER,
  "ppp_version" INTEGER,
  "thr" FLOAT,
  "avg" FLOAT,
  "share" FLOAT,
  "pop" FLOAT
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip.owid_percentiles_income_consumption_2017_1
  • 4.14 MB
  • 267329 rows
  • 9 columns
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CREATE TABLE owid_percentiles_income_consumption_2017_1 (
  "country" VARCHAR,
  "year" INTEGER,
  "reporting_level" VARCHAR,
  "welfare_type" VARCHAR,
  "percentile" INTEGER,
  "ppp_version" INTEGER,
  "thr" FLOAT,
  "avg" FLOAT,
  "share" FLOAT
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip.owid_percentiles_income_consumption_2017_2
  • 4.5 MB
  • 285582 rows
  • 9 columns
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CREATE TABLE owid_percentiles_income_consumption_2017_2 (
  "country" VARCHAR,
  "year" INTEGER,
  "reporting_level" VARCHAR,
  "welfare_type" VARCHAR,
  "percentile" INTEGER,
  "ppp_version" INTEGER,
  "thr" FLOAT,
  "avg" FLOAT,
  "share" FLOAT
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip.owid_percentiles_income_consumption_2017_3
  • 5.69 MB
  • 279850 rows
  • 10 columns
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CREATE TABLE owid_percentiles_income_consumption_2017_3 (
  "country" VARCHAR,
  "year" INTEGER,
  "reporting_level" VARCHAR,
  "welfare_type" VARCHAR,
  "percentile" INTEGER,
  "ppp_version" INTEGER,
  "thr" FLOAT,
  "avg" FLOAT,
  "share" FLOAT,
  "pop" FLOAT
);

World Bank Poverty And Inequality Platform (PIP)

@owid.world_bank_pip.owid_world_bank_pip_1
  • 1.19 MB
  • 2363 rows
  • 91 columns
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CREATE TABLE owid_world_bank_pip_1 (
  "country" VARCHAR,
  "year" INTEGER,
  "dollar1_share_of_population_above_poverty_line" FLOAT,
  "dollar1_total_number_of_people_above_poverty_line" BIGINT,
  "dollar1_total_number_of_people_below_poverty_line" UINTEGER,
  "dollar1_a_day_poverty_gap_index" FLOAT,
  "dollar1_a_day_share_of_population_below_poverty_line" FLOAT,
  "dollar1_a_day_total_shortfall" FLOAT,
  "dollar1_dollar2_15_share_of_population_between_poverty_lines" FLOAT,
  "dollar1_dollar2_15_total_number_of_people_between_poverty_lines" UINTEGER,
  "dollar10_share_of_population_above_poverty_line" FLOAT,
  "dollar10_total_number_of_people_above_poverty_line" UINTEGER,
  "dollar10_total_number_of_people_below_poverty_line" BIGINT,
  "dollar10_a_day_poverty_gap_index" FLOAT,
  "dollar10_a_day_share_of_population_below_poverty_line" FLOAT,
  "dollar10_a_day_total_shortfall" FLOAT,
  "dollar10_dollar20_share_of_population_between_poverty_lines" FLOAT,
  "dollar10_dollar20_total_number_of_people_between_poverty_lines" UINTEGER,
  "dollar10_dollar30_share_of_population_between_poverty_lines" FLOAT,
  "dollar10_dollar30_total_number_of_people_between_poverty_lines" UINTEGER,
  "dollar2_15_share_of_population_above_poverty_line" FLOAT,
  "dollar2_15_total_number_of_people_above_poverty_line" BIGINT,
  "dollar2_15_total_number_of_people_below_poverty_line" UINTEGER,
  "dollar2_15_a_day_poverty_gap_index" FLOAT,
  "dollar2_15_a_day_share_of_population_below_poverty_line" FLOAT,
  "dollar2_15_a_day_total_shortfall" FLOAT,
  "dollar2_15_dollar10_share_of_population_between_poverty_lines" FLOAT,
  "dollar2_15_dollar10_total_number_of_people_between_pov_40c8c1b7" UINTEGER,
  "dollar2_15_dollar3_65_share_of_population_between_poverty_lines" FLOAT,
  "dollar2_15_dollar3_65_total_number_of_people_between_p_19723ef2" UINTEGER,
  "dollar20_share_of_population_above_poverty_line" FLOAT,
  "dollar20_total_number_of_people_above_poverty_line" UINTEGER,
  "dollar20_total_number_of_people_below_poverty_line" BIGINT,
  "dollar20_a_day_poverty_gap_index" FLOAT,
  "dollar20_a_day_share_of_population_below_poverty_line" FLOAT,
  "dollar20_a_day_total_shortfall" FLOAT,
  "dollar20_dollar30_share_of_population_between_poverty_lines" FLOAT,
  "dollar20_dollar30_total_number_of_people_between_poverty_lines" UINTEGER,
  "dollar24_35_share_of_population_above_poverty_line" FLOAT,
  "dollar24_35_total_number_of_people_above_poverty_line" UINTEGER,
  "dollar24_35_total_number_of_people_below_poverty_line" BIGINT,
  "dollar24_35_a_day_poverty_gap_index" FLOAT,
  "dollar24_35_a_day_share_of_population_below_poverty_line" FLOAT,
  "dollar24_35_a_day_total_shortfall" FLOAT,
  "dollar3_65_share_of_population_above_poverty_line" FLOAT,
  "dollar3_65_total_number_of_people_above_poverty_line" BIGINT,
  "dollar3_65_total_number_of_people_below_poverty_line" UINTEGER,
  "dollar3_65_a_day_poverty_gap_index" FLOAT,
  "dollar3_65_a_day_share_of_population_below_poverty_line" FLOAT,
  "dollar3_65_a_day_total_shortfall" FLOAT,
  "dollar3_65_dollar6_85_share_of_population_between_poverty_lines" FLOAT,
  "dollar3_65_dollar6_85_total_number_of_people_between_p_4c861a0c" UINTEGER,
  "dollar30_share_of_population_above_poverty_line" FLOAT,
  "dollar30_total_number_of_people_above_poverty_line" UINTEGER,
  "dollar30_total_number_of_people_below_poverty_line" BIGINT,
  "dollar30_a_day_poverty_gap_index" FLOAT,
  "dollar30_a_day_share_of_population_below_poverty_line" FLOAT,
  "dollar30_a_day_total_shortfall" FLOAT,
  "dollar30_dollar40_share_of_population_between_poverty_lines" FLOAT,
  "dollar30_dollar40_total_number_of_people_between_poverty_lines" UINTEGER,
  "dollar40_share_of_population_above_poverty_line" FLOAT,
  "dollar40_total_number_of_people_above_poverty_line" UINTEGER,
  "dollar40_total_number_of_people_below_poverty_line" BIGINT,
  "dollar40_a_day_poverty_gap_index" FLOAT,
  "dollar40_a_day_share_of_population_below_poverty_line" FLOAT,
  "dollar40_a_day_total_shortfall" FLOAT,
  "dollar6_85_share_of_population_above_poverty_line" FLOAT,
  "dollar6_85_total_number_of_people_above_poverty_line" UINTEGER,
  "dollar6_85_total_number_of_people_below_poverty_line" UINTEGER,
  "dollar6_85_a_day_poverty_gap_index" FLOAT,
  "dollar6_85_a_day_share_of_population_below_poverty_line" FLOAT,
  "dollar6_85_a_day_total_shortfall" FLOAT,
  "dollar6_85_dollar10_share_of_population_between_poverty_lines" FLOAT,
  "dollar6_85_dollar10_total_number_of_people_between_pov_2e4891d5" UINTEGER,
  "n__40pct_of_median_share_of_population_below_poverty_line" FLOAT,
  "n__40pct_of_median_total_number_of_people_below_poverty_line" UINTEGER,
  "n__50pct_of_median_share_of_population_below_poverty_line" FLOAT,
  "n__50pct_of_median_total_number_of_people_below_poverty_line" UINTEGER,
  "n__60pct_of_median_share_of_population_below_poverty_line" FLOAT,
  "n__60pct_of_median_total_number_of_people_below_poverty_line" UINTEGER,
  "gini_coefficient" FLOAT,
  "mean_income_or_expenditure_per_day" FLOAT,
  "median_income_or_expenditure_per_day" FLOAT,
  "p10" FLOAT,
  "p90" FLOAT,
  "share_of_the_2nd_quintile_in_total_income_or_expenditure" FLOAT,
  "share_of_the_3rd_quintile_in_total_income_or_expenditure" FLOAT,
  "share_of_the_4th_quintile_in_total_income_or_expenditure" FLOAT,
  "share_of_the_poorest_quintile_in_total_income_or_expenditure" FLOAT,
  "share_of_the_richest_decile_in_total_income_or_expenditure" FLOAT,
  "share_of_the_richest_quintile_in_total_income_or_expenditure" FLOAT
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip.owid_world_bank_pip_2
  • 9.62 MB
  • 662181 rows
  • 44 columns
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CREATE TABLE owid_world_bank_pip_2 (
  "country" VARCHAR,
  "year" INTEGER,
  "ppp_version" INTEGER,
  "poverty_line" VARCHAR,
  "welfare_type" VARCHAR,
  "decile" INTEGER,
  "table" VARCHAR,
  "survey_comparability" VARCHAR,
  "headcount_ratio" FLOAT,
  "poverty_gap_index" FLOAT,
  "poverty_severity" FLOAT,
  "watts" FLOAT,
  "headcount" BIGINT,
  "total_shortfall" FLOAT,
  "avg_shortfall" FLOAT,
  "income_gap_ratio" FLOAT,
  "headcount_above" BIGINT,
  "headcount_ratio_above" FLOAT,
  "headcount_between" UINTEGER,
  "headcount_ratio_between" FLOAT,
  "share" FLOAT,
  "thr" FLOAT,
  "avg" FLOAT,
  "mean" FLOAT,
  "median" FLOAT,
  "mld" FLOAT,
  "gini" FLOAT,
  "polarization" FLOAT,
  "spl" FLOAT,
  "spr" FLOAT,
  "pg" FLOAT,
  "bottom50_share" FLOAT,
  "middle40_share" FLOAT,
  "palma_ratio" FLOAT,
  "s80_s20_ratio" FLOAT,
  "p90_p10_ratio" FLOAT,
  "p90_p50_ratio" FLOAT,
  "p50_p10_ratio" FLOAT,
  "top1_thr" FLOAT,
  "top1_share" FLOAT,
  "top1_avg" FLOAT,
  "top90_99_share" FLOAT,
  "surveys_past_decade" INTEGER,
  "region_name" VARCHAR
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip.owid_world_bank_pip_percentiles
  • 9.54 MB
  • 559700 rows
  • 10 columns
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CREATE TABLE owid_world_bank_pip_percentiles (
  "country" VARCHAR,
  "year" INTEGER,
  "ppp_version" INTEGER,
  "welfare_type" VARCHAR,
  "reporting_level" VARCHAR,
  "percentile" INTEGER,
  "thr" FLOAT,
  "avg" FLOAT,
  "share" FLOAT,
  "pop" FLOAT
);

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