Baselight

World Bank Poverty And Inequality Platform (PIP)

@owid.world_bank_pip_legacy

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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 170 economies around the world.

Tables

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_consumption_2017_spl
  • 14.45 KB
  • 987 rows
  • 9 columns
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CREATE TABLE owid_consumption_2017_spl (
  "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
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_consumption_2017_spr
  • 15.1 KB
  • 987 rows
  • 9 columns
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CREATE TABLE owid_consumption_2017_spr (
  "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
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_consumption_2017_top1_avg
  • 15.09 KB
  • 987 rows
  • 9 columns
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CREATE TABLE owid_consumption_2017_top1_avg (
  "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
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_consumption_2017_top1_share
  • 15.08 KB
  • 987 rows
  • 9 columns
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CREATE TABLE owid_consumption_2017_top1_share (
  "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
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_consumption_2017_top1_thr
  • 15.09 KB
  • 987 rows
  • 9 columns
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CREATE TABLE owid_consumption_2017_top1_thr (
  "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
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_consumption_2017_top90_99_share
  • 15.08 KB
  • 987 rows
  • 9 columns
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CREATE TABLE owid_consumption_2017_top90_99_share (
  "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
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_consumption_2017_total_shortfall_100
  • 13.65 KB
  • 987 rows
  • 9 columns
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CREATE TABLE owid_consumption_2017_total_shortfall_100 (
  "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
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_consumption_2017_total_shortfall_1000
  • 17.14 KB
  • 987 rows
  • 9 columns
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CREATE TABLE owid_consumption_2017_total_shortfall_1000 (
  "country" VARCHAR,
  "year" INTEGER,
  "consumption_spell_1" FLOAT,
  "consumption_spell_2" BIGINT,
  "consumption_spell_3" BIGINT,
  "consumption_spell_4" BIGINT,
  "consumption_spell_5" BIGINT,
  "consumption_spell_6" BIGINT,
  "consumption_spell_7" BIGINT
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_consumption_2017_total_shortfall_2000
  • 17.77 KB
  • 987 rows
  • 9 columns
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CREATE TABLE owid_consumption_2017_total_shortfall_2000 (
  "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
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_consumption_2017_total_shortfall_215
  • 14.67 KB
  • 987 rows
  • 9 columns
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CREATE TABLE owid_consumption_2017_total_shortfall_215 (
  "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" UINTEGER,
  "consumption_spell_7" UINTEGER
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_consumption_2017_total_shortfall_3000
  • 17.83 KB
  • 987 rows
  • 9 columns
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CREATE TABLE owid_consumption_2017_total_shortfall_3000 (
  "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
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_consumption_2017_total_shortfall_365
  • 14.99 KB
  • 987 rows
  • 9 columns
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CREATE TABLE owid_consumption_2017_total_shortfall_365 (
  "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" UINTEGER,
  "consumption_spell_7" UINTEGER
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_consumption_2017_total_shortfall_4000
  • 17.9 KB
  • 987 rows
  • 9 columns
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CREATE TABLE owid_consumption_2017_total_shortfall_4000 (
  "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
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_consumption_2017_total_shortfall_40_median
  • 15.04 KB
  • 987 rows
  • 9 columns
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CREATE TABLE owid_consumption_2017_total_shortfall_40_median (
  "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" UINTEGER
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_consumption_2017_total_shortfall_50_median
  • 15.03 KB
  • 987 rows
  • 9 columns
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CREATE TABLE owid_consumption_2017_total_shortfall_50_median (
  "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" UINTEGER,
  "consumption_spell_7" UINTEGER
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_consumption_2017_total_shortfall_60_median
  • 14.98 KB
  • 987 rows
  • 9 columns
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CREATE TABLE owid_consumption_2017_total_shortfall_60_median (
  "country" VARCHAR,
  "year" INTEGER,
  "consumption_spell_1" FLOAT,
  "consumption_spell_2" FLOAT,
  "consumption_spell_3" FLOAT,
  "consumption_spell_4" UINTEGER,
  "consumption_spell_5" UINTEGER,
  "consumption_spell_6" UINTEGER,
  "consumption_spell_7" UINTEGER
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_consumption_2017_total_shortfall_685
  • 15.2 KB
  • 987 rows
  • 9 columns
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CREATE TABLE owid_consumption_2017_total_shortfall_685 (
  "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
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_income_2011
  • 1.37 MB
  • 1468 rows
  • 173 columns
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CREATE TABLE owid_income_2011 (
  "country" VARCHAR,
  "year" INTEGER,
  "reporting_level" VARCHAR,
  "welfare_type" VARCHAR,
  "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,
  "headcount_40_median" UINTEGER,
  "headcount_50_median" UINTEGER,
  "headcount_60_median" UINTEGER,
  "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,
  "headcount_100" UINTEGER,
  "headcount_1000" UINTEGER,
  "headcount_190" UINTEGER,
  "headcount_2000" UINTEGER,
  "headcount_3000" UINTEGER,
  "headcount_320" UINTEGER,
  "headcount_4000" UINTEGER,
  "headcount_550" UINTEGER,
  "headcount_ratio_100" FLOAT,
  "headcount_ratio_1000" FLOAT,
  "headcount_ratio_190" FLOAT,
  "headcount_ratio_2000" FLOAT,
  "headcount_ratio_3000" FLOAT,
  "headcount_ratio_320" FLOAT,
  "headcount_ratio_4000" FLOAT,
  "headcount_ratio_550" FLOAT,
  "income_gap_ratio_100" FLOAT,
  "income_gap_ratio_1000" FLOAT,
  "income_gap_ratio_190" FLOAT,
  "income_gap_ratio_2000" FLOAT,
  "income_gap_ratio_3000" FLOAT,
  "income_gap_ratio_320" FLOAT,
  "income_gap_ratio_4000" FLOAT,
  "income_gap_ratio_550" FLOAT,
  "poverty_gap_index_100" FLOAT,
  "poverty_gap_index_1000" FLOAT,
  "poverty_gap_index_190" FLOAT,
  "poverty_gap_index_2000" FLOAT,
  "poverty_gap_index_3000" FLOAT,
  "poverty_gap_index_320" FLOAT,
  "poverty_gap_index_4000" FLOAT,
  "poverty_gap_index_550" FLOAT,
  "avg_shortfall_100" FLOAT,
  "avg_shortfall_1000" FLOAT,
  "avg_shortfall_190" FLOAT,
  "avg_shortfall_2000" FLOAT,
  "avg_shortfall_3000" FLOAT,
  "avg_shortfall_320" FLOAT,
  "avg_shortfall_4000" FLOAT,
  "avg_shortfall_550" FLOAT,
  "total_shortfall_100" FLOAT,
  "total_shortfall_1000" FLOAT,
  "total_shortfall_190" FLOAT,
  "total_shortfall_2000" FLOAT,
  "total_shortfall_3000" BIGINT,
  "total_shortfall_320" FLOAT
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_income_2011_2017
  • 434.1 KB
  • 1468 rows
  • 54 columns
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CREATE TABLE owid_income_2011_2017 (
  "country" VARCHAR,
  "year" INTEGER,
  "headcount_100_ppp2011" UINTEGER,
  "headcount_190_ppp2011" UINTEGER,
  "headcount_320_ppp2011" UINTEGER,
  "headcount_550_ppp2011" UINTEGER,
  "headcount_1000_ppp2011" UINTEGER,
  "headcount_2000_ppp2011" UINTEGER,
  "headcount_3000_ppp2011" UINTEGER,
  "headcount_4000_ppp2011" UINTEGER,
  "headcount_ratio_100_ppp2011" FLOAT,
  "headcount_ratio_190_ppp2011" FLOAT,
  "headcount_ratio_320_ppp2011" FLOAT,
  "headcount_ratio_550_ppp2011" FLOAT,
  "headcount_ratio_1000_ppp2011" FLOAT,
  "headcount_ratio_2000_ppp2011" FLOAT,
  "headcount_ratio_3000_ppp2011" FLOAT,
  "headcount_ratio_4000_ppp2011" FLOAT,
  "headcount_40_median_ppp2011" UINTEGER,
  "headcount_50_median_ppp2011" UINTEGER,
  "headcount_60_median_ppp2011" UINTEGER,
  "headcount_ratio_40_median_ppp2011" FLOAT,
  "headcount_ratio_50_median_ppp2011" FLOAT,
  "headcount_ratio_60_median_ppp2011" FLOAT,
  "mean_ppp2011" FLOAT,
  "median_ppp2011" FLOAT,
  "decile1_thr_ppp2011" FLOAT,
  "decile9_thr_ppp2011" FLOAT,
  "headcount_100_ppp2017" UINTEGER,
  "headcount_215_ppp2017" UINTEGER,
  "headcount_365_ppp2017" UINTEGER,
  "headcount_685_ppp2017" UINTEGER,
  "headcount_1000_ppp2017" UINTEGER,
  "headcount_2000_ppp2017" UINTEGER,
  "headcount_3000_ppp2017" UINTEGER,
  "headcount_4000_ppp2017" UINTEGER,
  "headcount_ratio_100_ppp2017" FLOAT,
  "headcount_ratio_215_ppp2017" FLOAT,
  "headcount_ratio_365_ppp2017" FLOAT,
  "headcount_ratio_685_ppp2017" FLOAT,
  "headcount_ratio_1000_ppp2017" FLOAT,
  "headcount_ratio_2000_ppp2017" FLOAT,
  "headcount_ratio_3000_ppp2017" FLOAT,
  "headcount_ratio_4000_ppp2017" FLOAT,
  "headcount_40_median_ppp2017" UINTEGER,
  "headcount_50_median_ppp2017" UINTEGER,
  "headcount_60_median_ppp2017" UINTEGER,
  "headcount_ratio_40_median_ppp2017" FLOAT,
  "headcount_ratio_50_median_ppp2017" FLOAT,
  "headcount_ratio_60_median_ppp2017" FLOAT,
  "mean_ppp2017" FLOAT,
  "median_ppp2017" FLOAT,
  "decile1_thr_ppp2017" FLOAT,
  "decile9_thr_ppp2017" FLOAT
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_income_2017
  • 1.38 MB
  • 1468 rows
  • 174 columns
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CREATE TABLE owid_income_2017 (
  "country" VARCHAR,
  "year" INTEGER,
  "reporting_level" VARCHAR,
  "welfare_type" VARCHAR,
  "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,
  "headcount_40_median" UINTEGER,
  "headcount_50_median" UINTEGER,
  "headcount_60_median" UINTEGER,
  "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" UINTEGER,
  "headcount_2000" UINTEGER,
  "headcount_215" UINTEGER,
  "headcount_3000" UINTEGER,
  "headcount_365" UINTEGER,
  "headcount_4000" UINTEGER,
  "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,
  "avg_shortfall_4000" FLOAT,
  "avg_shortfall_685" FLOAT,
  "total_shortfall_100" FLOAT,
  "total_shortfall_1000" FLOAT,
  "total_shortfall_2000" FLOAT,
  "total_shortfall_215" FLOAT,
  "total_shortfall_3000" BIGINT
);

World Bank Poverty And Inequality Platform (PIP): Percentiles

@owid.world_bank_pip_legacy.owid_income_2017_avg_shortfall_100
  • 16.04 KB
  • 1468 rows
  • 10 columns
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CREATE TABLE owid_income_2017_avg_shortfall_100 (
  "country" VARCHAR,
  "year" INTEGER,
  "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_legacy.owid_income_2017_avg_shortfall_1000
  • 17.48 KB
  • 1468 rows
  • 10 columns
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CREATE TABLE owid_income_2017_avg_shortfall_1000 (
  "country" VARCHAR,
  "year" INTEGER,
  "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_legacy.owid_income_2017_avg_shortfall_2000
  • 17.54 KB
  • 1468 rows
  • 10 columns
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CREATE TABLE owid_income_2017_avg_shortfall_2000 (
  "country" VARCHAR,
  "year" INTEGER,
  "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_legacy.owid_income_2017_avg_shortfall_215
  • 16.71 KB
  • 1468 rows
  • 10 columns
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CREATE TABLE owid_income_2017_avg_shortfall_215 (
  "country" VARCHAR,
  "year" INTEGER,
  "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_legacy.owid_income_2017_avg_shortfall_3000
  • 17.54 KB
  • 1468 rows
  • 10 columns
Loading...

CREATE TABLE owid_income_2017_avg_shortfall_3000 (
  "country" VARCHAR,
  "year" INTEGER,
  "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
);

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