Brazil

Datasets (11)

SEL — DGIWG Spatial Entity Listing standard SEL+ — Platform extension (not in DGIWG core spec) CCL — DGIWG Cross-Cultural Language standard Extension — Preserved in extension tables (not in core SEL/CCL schema) Pending — Awaiting mapping

BRA Glottolog Language Catalog BRA-GLOTTOLOG Language

1348 rows · 1 table(s) Glottolog Language Catalog 0 1 2 3 2 SEL 12 CCL 7 ext ▶

Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

BRA glottolog - languages — 337 rows, 16 columns

Standards-Aligned Fields (14)

Field Name	Label	Type	Schema	Nulls	Unique
`glottocode`	glottocode	string	CCL	0%	100
`name`	name	string	CCL	0%	100
`iso639_3`	iso639_3	string	CCL	28%	72
`level`	level	string	CCL	0%	1
`family_name`	family_name	string	CCL	100%	-
`family_glottocode`	family_glottocode	string	CCL	6%	20
`parent_name`	parent_name	string	CCL	100%	-
`parent_glottocode`	parent_glottocode	string	CCL	6%	74
`endangerment_status`	endangerment_status	string	CCL	100%	-
`country_codes`	country_codes	string	SEL+	0%	15
`child_family_count`	child_family_count	integer	CCL	0%	1
`child_language_count`	child_language_count	integer	CCL	0%	1
`child_dialect_count`	child_dialect_count	integer	CCL	0%	9
`country_code`	country_code	string	SEL	0%	1

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`latitude`	latitude	float	7%	93
`longitude`	longitude	float	7%	93
`classification`	classification	string	0%	1
`source`	source	string	0%	1
`source_url`	source_url	string	0%	1
`license`	license	string	0%	1
`data_vintage`	data_vintage	float	0%	1

BRA UNHCR Refugee Data Finder BRA-UNHCR Migration

600 rows · 2 table(s) UNHCR Refugee Data Finder 0 1 2 3 12 CCL 44 ext ▶

Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 2 table(s)

BRA unhcr - hosted_populations — 75 rows, 24 columns

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique
`country_of_origin_iso`	country_of_origin_iso	string	CCL	0%	1
`refugees`	refugees	integer	CCL	0%	75
`idps`	idps	integer	CCL	0%	34
`stateless`	stateless	integer	CCL	0%	23
`others_of_concern`	others_of_concern	integer	CCL	0%	30
`total_population`	total_population	string	CCL	100%	-

Extension Fields (22) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`year`	year	integer	0%	75
`country_of_origin`	country_of_origin	string	100%	-
`country_of_asylum`	country_of_asylum	string	100%	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1
`population_type`	population_type	string	100%	-
`asylum_seekers`	asylum_seekers	integer	0%	34
`female_total`	female_total	string	100%	-
`male_total`	male_total	string	100%	-
`female_0_4`	female_0_4	string	100%	-
`female_5_11`	female_5_11	string	100%	-
`female_12_17`	female_12_17	string	100%	-
`female_18_59`	female_18_59	string	100%	-
`female_60_plus`	female_60_plus	string	100%	-
`male_0_4`	male_0_4	string	100%	-
`male_5_11`	male_5_11	string	100%	-
`male_12_17`	male_12_17	string	100%	-
`male_18_59`	male_18_59	string	100%	-
`male_60_plus`	male_60_plus	string	100%	-
`source`	source	string	0%	1
`source_url`	source_url	string	0%	1
`license`	license	string	0%	1
`country_code`	country_code	string	0%	1

BRA unhcr - origin_populations — 75 rows, 24 columns

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique
`country_of_origin_iso`	country_of_origin_iso	string	CCL	0%	1
`refugees`	refugees	integer	CCL	0%	75
`idps`	idps	integer	CCL	0%	34
`stateless`	stateless	integer	CCL	0%	23
`others_of_concern`	others_of_concern	integer	CCL	0%	30
`total_population`	total_population	string	CCL	100%	-

Extension Fields (22) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`year`	year	integer	0%	75
`country_of_origin`	country_of_origin	string	100%	-
`country_of_asylum`	country_of_asylum	string	100%	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1
`population_type`	population_type	string	100%	-
`asylum_seekers`	asylum_seekers	integer	0%	34
`female_total`	female_total	string	100%	-
`male_total`	male_total	string	100%	-
`female_0_4`	female_0_4	string	100%	-
`female_5_11`	female_5_11	string	100%	-
`female_12_17`	female_12_17	string	100%	-
`female_18_59`	female_18_59	string	100%	-
`female_60_plus`	female_60_plus	string	100%	-
`male_0_4`	male_0_4	string	100%	-
`male_5_11`	male_5_11	string	100%	-
`male_12_17`	male_12_17	string	100%	-
`male_18_59`	male_18_59	string	100%	-
`male_60_plus`	male_60_plus	string	100%	-
`source`	source	string	0%	1
`source_url`	source_url	string	0%	1
`license`	license	string	0%	1
`country_code`	country_code	string	0%	1

BRA World Bank Open Data BRA-WORLD_BANK Development Indicators

528 rows · 4 table(s) World Bank Open Data 0 1 2 3 21 SEL 31 ext ▶

Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 4 table(s)

BRA world_bank - development_indicators — 66 rows, 9 columns

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	country_code	string	SEL	0%	1
`population_count`	population_count	float	SEL	2%	65
`life_expectancy`	life_expectancy	float	SEL	3%	64
`gdp_per_capita_usd`	gdp_per_capita_usd	float	SEL	2%	65
`literacy_rate_pct`	literacy_rate_pct	string	SEL	67%	22
`under5_mortality_per_1000`	under5_mortality_per_1000	float	SEL	3%	64
`poverty_headcount_pct`	poverty_headcount_pct	string	SEL	100%	-

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`country_name`	country_name	string	0%	1
`year`	year	integer	0%	66

BRA world_bank - health_indicators — 66 rows, 14 columns

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	country_code	string	SEL	0%	1
`life_expectancy`	life_expectancy	float	SEL	3%	64
`infant_mortality_per_1000`	infant_mortality_per_1000	float	SEL	8%	58
`under5_mortality_per_1000`	under5_mortality_per_1000	float	SEL	3%	64
`maternal_mortality_per_100k`	maternal_mortality_per_100k	string	SEL	41%	30
`fertility_rate`	fertility_rate	float	SEL	3%	63
`birth_rate_per_1000`	birth_rate_per_1000	float	SEL	3%	64
`death_rate_per_1000`	death_rate_per_1000	float	SEL	3%	64
`physicians_per_1000`	physicians_per_1000	float	SEL	65%	23
`hospital_beds_per_1000`	hospital_beds_per_1000	float	SEL	58%	24
`vaccination_rate_pct`	vaccination_rate_pct	string	SEL	32%	27
`health_expenditure_pct_gdp`	health_expenditure_pct_gdp	string	SEL	64%	24

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`country_name`	country_name	string	0%	1
`year`	year	integer	0%	66

BRA world_bank - development_indicators_wide — 66 rows, 12 columns

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	country_code	string	SEL	0%	1

Extension Fields (11) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`country_name`	country_name	string	0%	1
`year`	year	integer	0%	66
`Population_total`	Population_total	float	2%	65
`Life_expectancy_at_birth_total_years`	Life_expectancy_at_birth_total_years	float	3%	64
`GDP_per_capita_current_US$`	GDP_per_capita_current_US$	float	2%	65
`Literacy_rate_adult_total_%_of_people_ages_15_and_above`	Literacy_rate_adult_total_%_of_people_ages_15_and_above	float	67%	22
`Mortality_rate_under-5_per_1000_live_births`	Mortality_rate_under-5_per_1000_live_births	float	3%	64
`Poverty_headcount_ratio_at_national_poverty_lines_%_of_popul`	Poverty_headcount_ratio_at_national_poverty_lines_%_of_popul	string	100%	-
`source`	source	string	0%	1
`source_url`	source_url	string	0%	1
`license`	license	string	0%	1

BRA world_bank - health_indicators_wide — 66 rows, 17 columns

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	country_code	string	SEL	0%	1

Extension Fields (16) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`country_name`	country_name	string	0%	1
`year`	year	integer	0%	66
`Life_expectancy_at_birth_total_years`	Life_expectancy_at_birth_total_years	float	3%	64
`Mortality_rate_neonatal_per_1000_live_births`	Mortality_rate_neonatal_per_1000_live_births	float	8%	58
`Mortality_rate_under-5_per_1000_live_births`	Mortality_rate_under-5_per_1000_live_births	float	3%	64
`Maternal_mortality_ratio_modeled_estimate_per_100000_live_bi`	Maternal_mortality_ratio_modeled_estimate_per_100000_live_bi	float	41%	30
`Fertility_rate_total_births_per_woman`	Fertility_rate_total_births_per_woman	float	3%	63
`Birth_rate_crude_per_1000_people`	Birth_rate_crude_per_1000_people	float	3%	64
`Death_rate_crude_per_1000_people`	Death_rate_crude_per_1000_people	float	3%	64
`Physicians_per_1000_people`	Physicians_per_1000_people	float	65%	23
`Hospital_beds_per_1000_people`	Hospital_beds_per_1000_people	float	58%	24
`Immunization_DPT_%_of_children_ages_12-23_months`	Immunization_DPT_%_of_children_ages_12-23_months	float	32%	27
`Current_health_expenditure_%_of_GDP`	Current_health_expenditure_%_of_GDP	float	64%	24
`source`	source	string	0%	1
`source_url`	source_url	string	0%	1
`license`	license	string	0%	1

BRA Global Data Lab BRA-GDL Development Indices

3808 rows · 2 table(s) Global Data Lab 0 1 2 3 18 SEL 7 ext ▶

Free downloads return a 10-row sample. Contact us for the full pack.

1 Admin 1 — 2 table(s)

BRA gdl - subnational_indices — 952 rows, 11 columns

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	country_code	string	SEL	0%	1
`region_code`	region_code	string	SEL	100%	-
`region_name`	region_name	string	SEL	0%	28
`human_development_index`	human_development_index	float	SEL	0%	76
`health_index`	health_index	float	SEL	0%	49
`education_index`	education_index	float	SEL	0%	87
`income_index`	income_index	float	SEL	0%	68
`life_expectancy`	life_expectancy	float	SEL	0%	84
`mean_years_schooling`	mean_years_schooling	float	SEL	0%	89

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`year`	year	integer	0%	4
`level`	level	string	0%	2

BRA gdl - subnational_indices_wide — 952 rows, 14 columns

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	country_code	string	SEL	0%	1
`region_name`	region_name	string	SEL	0%	3
`region_code`	region_code	string	SEL	100%	-
`human_development_index`	human_development_index	float	SEL	0%	74
`health_index`	health_index	float	SEL	0%	74
`education_index`	education_index	float	SEL	0%	79
`income_index`	income_index	float	SEL	0%	72
`life_expectancy`	life_expectancy	float	SEL	0%	97
`mean_years_schooling`	mean_years_schooling	float	SEL	0%	81

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`year`	year	integer	0%	34
`level`	level	string	0%	2
`source`	source	string	0%	1
`source_url`	source_url	string	0%	1
`license`	license	string	0%	1

BRA IBGE SIDRA BRA-IBGE Census

28525 rows · 16 table(s) IBGE SIDRA 0 1 2 3 29 SEL 625 ext ▶

Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 5 table(s)

BRA ibge - census_demographics_wide — 27 rows, 10 columns

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	Country code (ISO 3166-1 alpha-3) [pt-BR]	string	SEL+	0%	1

Extension Fields (9) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`geo_level`	geo_level [pt-BR]	string	0%	1
`geo_code`	geo_code [pt-BR]	float	0%	27
`geo_name`	geo_name [pt-BR]	string	0%	27
`year`	year [pt-BR]	float	0%	1
`População_residente`	Resident_population [pt-BR]	float	0%	27
`População_residente_-_percentual_do_total_geral`	Resident_population_-_percentage_of_total [pt-BR]	float	0%	1
`source`	source [pt-BR]	string	0%	1
`source_url`	source_url [pt-BR]	string	0%	1
`license`	license [pt-BR]	string	0%	1

BRA ibge - census_labor_wide — 27 rows, 10 columns

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	Country code (ISO 3166-1 alpha-3) [pt-BR]	string	SEL+	0%	1

Extension Fields (9) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`geo_level`	geo_level [pt-BR]	string	0%	1
`geo_code`	geo_code [pt-BR]	float	0%	27
`geo_name`	geo_name [pt-BR]	string	0%	27
`year`	year [pt-BR]	float	0%	1
`Pessoas_de_14_anos_ou_mais_de_idade`	Pessoas_de_14_anos_ou_mais_de_idade [pt-BR]	float	0%	27
`Pessoas_de_14_anos_ou_mais_de_idade_-_percentual_do_total_ge`	Pessoas_de_14_anos_ou_mais_de_idade_-_percentual_do_total_ge [pt-BR]	float	0%	1
`source`	source [pt-BR]	string	0%	1
`source_url`	source_url [pt-BR]	string	0%	1
`license`	license [pt-BR]	string	0%	1

BRA ibge - census_literacy_wide — 27 rows, 9 columns

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	Country code (ISO 3166-1 alpha-3) [pt-BR]	string	SEL+	0%	1

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`geo_level`	geo_level [pt-BR]	string	0%	1
`geo_code`	geo_code [pt-BR]	float	0%	27
`geo_name`	geo_name [pt-BR]	string	0%	27
`year`	year [pt-BR]	float	0%	1
`Taxa_de_alfabetização_das_pessoas_de_15_anos_ou_mais_de_idad`	Literacy_rate_of_persons_aged_15_years_or_older [pt-BR]	float	0%	26
`source`	source [pt-BR]	string	0%	1
`source_url`	source_url [pt-BR]	string	0%	1
`license`	license [pt-BR]	string	0%	1

BRA ibge - census_population_state_wide — 27 rows, 11 columns

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	Country code (ISO 3166-1 alpha-3) [pt-BR]	string	SEL+	0%	1

Extension Fields (10) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`geo_level`	geo_level [pt-BR]	string	0%	1
`geo_code`	geo_code [pt-BR]	float	0%	27
`geo_name`	geo_name [pt-BR]	string	0%	27
`year`	year [pt-BR]	float	0%	1
`População_residente`	Resident_population [pt-BR]	float	0%	27
`Área_da_unidade_territorial`	Area_of_territorial_unit [pt-BR]	float	0%	27
`Densidade_demográfica`	Population_density [pt-BR]	float	0%	27
`source`	source [pt-BR]	string	0%	1
`source_url`	source_url [pt-BR]	string	0%	1
`license`	license [pt-BR]	string	0%	1

BRA ibge - census_race_wide — 27 rows, 10 columns

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	Country code (ISO 3166-1 alpha-3) [pt-BR]	string	SEL+	0%	1

Extension Fields (9) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`geo_level`	geo_level [pt-BR]	string	0%	1
`geo_code`	geo_code [pt-BR]	float	0%	27
`geo_name`	geo_name [pt-BR]	string	0%	27
`year`	year [pt-BR]	float	0%	1
`População_residente`	Resident_population [pt-BR]	float	0%	27
`População_residente_-_percentual_do_total_geral`	Resident_population_-_percentage_of_total [pt-BR]	float	0%	1
`source`	source [pt-BR]	string	0%	1
`source_url`	source_url [pt-BR]	string	0%	1
`license`	license [pt-BR]	string	0%	1

1 Admin 1 — 5 table(s)

BRA ibge - census_demographics — 27 rows, 6 columns

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	Country code (ISO 3166-1 alpha-3) [pt-BR]	string	SEL+	0%	1

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`admin_code`	admin_code [pt-BR]	float	0%	27
`admin_name`	Geographic unit name [pt-BR]	string	0%	27
`year`	year [pt-BR]	float	0%	1
`population_count`	population_count [pt-BR]	float	0%	27
`população_residente_-_percentual_do_tota`	população_residente_-_percentual_do_tota [pt-BR]	float	0%	1

BRA ibge - census_labor — 27 rows, 6 columns

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	Country code (ISO 3166-1 alpha-3) [pt-BR]	string	SEL+	0%	1

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`admin_code`	admin_code [pt-BR]	float	0%	27
`admin_name`	Geographic unit name [pt-BR]	string	0%	27
`year`	year [pt-BR]	float	0%	1
`population_15_64`	population_15_64 [pt-BR]	float	0%	27
`pessoas_de_14_anos_ou_mais_de_idade_-_pe`	pessoas_de_14_anos_ou_mais_de_idade_-_pe [pt-BR]	float	0%	1

BRA ibge - census_literacy — 27 rows, 5 columns

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	Country code (ISO 3166-1 alpha-3) [pt-BR]	string	SEL+	0%	1

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`admin_code`	admin_code [pt-BR]	float	0%	27
`admin_name`	Geographic unit name [pt-BR]	string	0%	27
`year`	year [pt-BR]	float	0%	1
`literacy_rate_pct`	literacy_rate_pct [pt-BR]	float	0%	26

BRA ibge - census_population_state — 27 rows, 7 columns

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	Country code (ISO 3166-1 alpha-3) [pt-BR]	string	SEL+	0%	1

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`admin_code`	admin_code [pt-BR]	float	0%	27
`admin_name`	Geographic unit name [pt-BR]	string	0%	27
`year`	year [pt-BR]	float	0%	1
`population_count`	population_count [pt-BR]	float	0%	27
`área_da_unidade_territorial`	área_da_unidade_territorial [pt-BR]	float	0%	27
`densidade_demográfica`	densidade_demográfica [pt-BR]	float	0%	27

BRA ibge - census_race — 27 rows, 6 columns

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	Country code (ISO 3166-1 alpha-3) [pt-BR]	string	SEL+	0%	1

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`admin_code`	admin_code [pt-BR]	float	0%	27
`admin_name`	Geographic unit name [pt-BR]	string	0%	27
`year`	year [pt-BR]	float	0%	1
`population_count`	population_count [pt-BR]	float	0%	27
`população_residente_-_percentual_do_tota`	população_residente_-_percentual_do_tota [pt-BR]	float	0%	1

2 Admin 2 — 2 table(s)

BRA ibge - census_population_municipality — 5570 rows, 7 columns

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	Country code (ISO 3166-1 alpha-3) [pt-BR]	string	SEL+	0%	1

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`admin_code`	admin_code [pt-BR]	float	0%	100
`admin_name`	Geographic unit name [pt-BR]	string	0%	100
`year`	year [pt-BR]	float	0%	1
`population_count`	population_count [pt-BR]	float	0%	100
`área_da_unidade_territorial`	área_da_unidade_territorial [pt-BR]	float	0%	100
`densidade_demográfica`	densidade_demográfica [pt-BR]	float	0%	91

BRA ibge - census_population_municipality_wide — 5570 rows, 11 columns

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	Country code (ISO 3166-1 alpha-3) [pt-BR]	string	SEL+	0%	1

Extension Fields (10) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`geo_level`	geo_level [pt-BR]	string	0%	1
`geo_code`	geo_code [pt-BR]	float	0%	100
`geo_name`	geo_name [pt-BR]	string	0%	100
`year`	year [pt-BR]	float	0%	1
`População_residente`	População_residente [pt-BR]	float	0%	100
`Área_da_unidade_territorial`	Área_da_unidade_territorial [pt-BR]	float	0%	100
`Densidade_demográfica`	Densidade_demográfica [pt-BR]	float	0%	100
`source`	source [pt-BR]	string	0%	1
`source_url`	source_url [pt-BR]	string	0%	1
`license`	license [pt-BR]	string	0%	1

3 Admin 3 — 4 table(s)

BRA ibge - setor_alfabetizacao — 458772 rows, 369 columns

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	Country code (ISO 3166-1 alpha-3) [pt-BR]	string	SEL+	0%	1
`admin_level`	Administrative level (admin_0..admin_3) [pt-BR]	string	SEL	0%	1
`admin_name`	Geographic unit name [pt-BR]	string	SEL	0%	1
`setor_code`	Census-sector identifier (15-digit IBGE code) [pt-BR]	float	SEL	0%	100

Extension Fields (365) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`CD_setor`	Census-sector code (15-digit) [pt-BR]	float	0%	100
`V00644`	Aged 15-19 [pt-BR]	float	0%	52
`V00645`	Aged 20-24 [pt-BR]	float	0%	52
`V00646`	Aged 25-29 [pt-BR]	float	0%	51
`V00647`	Aged 30-34 [pt-BR]	float	0%	48
`V00648`	Aged 35-39 [pt-BR]	float	0%	51
`V00649`	Aged 40-44 [pt-BR]	float	0%	49
`V00650`	Aged 45-49 [pt-BR]	float	0%	52
`V00651`	Aged 50-54 [pt-BR]	float	0%	46
`V00652`	Aged 55-59 [pt-BR]	float	0%	45
`V00653`	Aged 60-64 [pt-BR]	float	0%	41
`V00654`	Aged 65-69 [pt-BR]	float	0%	37
`V00655`	Aged 70-79 [pt-BR]	float	0%	37
`V00656`	80 years and over [pt-BR]	float	0%	23
`V00657`	Aged 15-19, color or race é white [pt-BR]	float	0%	26
`V00658`	Aged 15-19, color or race é black [pt-BR]	float	0%	10
`V00659`	Aged 15-19, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V00660`	Aged 15-19, color or race é brown (parda) [pt-BR]	float	0%	41
`V00661`	Aged 15-19, color or race é indigenous [pt-BR]	string	0%	8
`V00662`	Aged 20-24, color or race é white [pt-BR]	float	0%	28
`V00663`	Aged 20-24, color or race é black [pt-BR]	float	0%	12
`V00664`	Aged 20-24, color or race é yellow (Asian) [pt-BR]	string	0%	2
`V00665`	Aged 20-24, color or race é brown (parda) [pt-BR]	float	0%	39
`V00666`	Aged 20-24, color or race é indigenous [pt-BR]	float	0%	7
`V00667`	Aged 25-29, color or race é white [pt-BR]	float	0%	28
`V00668`	Aged 25-29, color or race é black [pt-BR]	float	0%	10
`V00669`	Aged 25-29, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V00670`	Aged 25-29, color or race é brown (parda) [pt-BR]	float	0%	40
`V00671`	Aged 25-29, color or race é indigenous [pt-BR]	float	0%	8
`V00672`	Aged 30-34, color or race é white [pt-BR]	float	0%	30
`V00673`	Aged 30-34, color or race é black [pt-BR]	float	0%	10
`V00674`	Aged 30-34, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V00675`	Aged 30-34, color or race é brown (parda) [pt-BR]	float	0%	37
`V00676`	Aged 30-34, color or race é indigenous [pt-BR]	float	0%	6
`V00677`	Aged 35-39, color or race é white [pt-BR]	float	0%	27
`V00678`	Aged 35-39, color or race é black [pt-BR]	float	0%	10
`V00679`	Aged 35-39, color or race é yellow (Asian) [pt-BR]	string	0%	2
`V00680`	Aged 35-39, color or race é brown (parda) [pt-BR]	float	0%	36
`V00681`	Aged 35-39, color or race é indigenous [pt-BR]	string	0%	5
`V00682`	Aged 40-44, color or race é white [pt-BR]	float	0%	30
`V00683`	Aged 40-44, color or race é black [pt-BR]	float	0%	11
`V00684`	Aged 40-44, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V00685`	Aged 40-44, color or race é brown (parda) [pt-BR]	float	0%	37
`V00686`	Aged 40-44, color or race é indigenous [pt-BR]	float	0%	4
`V00687`	Aged 45-49, color or race é white [pt-BR]	float	0%	27
`V00688`	Aged 45-49, color or race é black [pt-BR]	float	0%	12
`V00689`	Aged 45-49, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V00690`	Aged 45-49, color or race é brown (parda) [pt-BR]	float	0%	39
`V00691`	Aged 45-49, color or race é indigenous [pt-BR]	float	0%	4
`V00692`	Aged 50-54, color or race é white [pt-BR]	float	0%	28
`V00693`	Aged 50-54, color or race é black [pt-BR]	float	0%	10
`V00694`	Aged 50-54, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V00695`	Aged 50-54, color or race é brown (parda) [pt-BR]	float	0%	35
`V00696`	Aged 50-54, color or race é indigenous [pt-BR]	string	0%	3
`V00697`	Aged 55-59, color or race é white [pt-BR]	float	0%	24
`V00698`	Aged 55-59, color or race é black [pt-BR]	float	0%	9
`V00699`	Aged 55-59, color or race é yellow (Asian) [pt-BR]	float	0%	3
`V00700`	Aged 55-59, color or race é brown (parda) [pt-BR]	float	0%	30
`V00701`	Aged 55-59, color or race é indigenous [pt-BR]	float	0%	4
`V00702`	Aged 60-64, color or race é white [pt-BR]	float	0%	25
`V00703`	Aged 60-64, color or race é black [pt-BR]	float	0%	6
`V00704`	Aged 60-64, color or race é yellow (Asian) [pt-BR]	float	0%	3
`V00705`	Aged 60-64, color or race é brown (parda) [pt-BR]	float	0%	25
`V00706`	Aged 60-64, color or race é indigenous [pt-BR]	float	0%	3
`V00707`	Aged 65-69, color or race é white [pt-BR]	float	0%	22
`V00708`	Aged 65-69, color or race é black [pt-BR]	float	0%	5
`V00709`	Aged 65-69, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V00710`	Aged 65-69, color or race é brown (parda) [pt-BR]	float	0%	19
`V00711`	Aged 65-69, color or race é indigenous [pt-BR]	float	0%	2
`V00712`	Aged 70-79, color or race é white [pt-BR]	float	0%	23
`V00713`	Aged 70-79, color or race é black [pt-BR]	float	0%	8
`V00714`	Aged 70-79, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V00715`	Aged 70-79, color or race é brown (parda) [pt-BR]	float	0%	22
`V00716`	Aged 70-79, color or race é indigenous [pt-BR]	float	0%	2
`V00717`	80 years and over, color or race é white [pt-BR]	float	0%	14
`V00718`	80 years and over, color or race é black [pt-BR]	float	0%	5
`V00719`	80 years and over, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V00720`	80 years and over, color or race é brown (parda) [pt-BR]	float	0%	13
`V00721`	80 years and over, color or race é indigenous [pt-BR]	float	0%	3
`V00722`	Male, aged 15-19 [pt-BR]	float	0%	38
`V00723`	Male, aged 20-24 [pt-BR]	float	0%	35
`V00724`	Male, aged 25-29 [pt-BR]	float	0%	37
`V00725`	Male, aged 30-34 [pt-BR]	float	0%	33
`V00726`	Male, aged 35-39 [pt-BR]	float	0%	33
`V00727`	Male, aged 40-44 [pt-BR]	float	0%	33
`V00728`	Male, aged 45-49 [pt-BR]	float	0%	29
`V00729`	Male, aged 50-54 [pt-BR]	float	0%	31
`V00730`	Male, aged 55-59 [pt-BR]	float	0%	31
`V00731`	Male, aged 60-64 [pt-BR]	float	0%	23
`V00732`	Male, aged 65-69 [pt-BR]	float	0%	21
`V00733`	Male, aged 70-79 [pt-BR]	float	0%	22
`V00734`	Male, 80 years and over [pt-BR]	float	0%	14
`V00735`	Female, aged 15-19 [pt-BR]	float	0%	36
`V00736`	Female, aged 20-24 [pt-BR]	float	0%	34
`V00737`	Female, aged 25-29 [pt-BR]	float	0%	41
`V00738`	Female, aged 30-34 [pt-BR]	float	0%	35
`V00739`	Female, aged 35-39 [pt-BR]	float	0%	39
`V00740`	Female, aged 40-44 [pt-BR]	float	0%	36
`V00741`	Female, aged 45-49 [pt-BR]	float	0%	36
`V00742`	Female, aged 50-54 [pt-BR]	float	0%	33
`V00743`	Female, aged 55-59 [pt-BR]	float	0%	30
`V00744`	Female, aged 60-64 [pt-BR]	float	0%	30
`V00745`	Female, aged 65-69 [pt-BR]	float	0%	21
`V00746`	Female, aged 70-79 [pt-BR]	float	0%	26
`V00747`	Female, 80 years and over [pt-BR]	float	0%	15
`V00748`	Literate persons, aged 15-19 [pt-BR]	float	0%	53
`V00749`	Literate persons, aged 20-24 [pt-BR]	float	0%	53
`V00750`	Literate persons, aged 25-29 [pt-BR]	float	0%	53
`V00751`	Literate persons, aged 30-34 [pt-BR]	float	0%	51
`V00752`	Literate persons, aged 35-39 [pt-BR]	float	0%	53
`V00753`	Literate persons, aged 40-44 [pt-BR]	float	0%	45
`V00754`	Literate persons, aged 45-49 [pt-BR]	float	0%	48
`V00755`	Literate persons, aged 50-54 [pt-BR]	float	0%	49
`V00756`	Literate persons, aged 55-59 [pt-BR]	float	0%	42
`V00757`	Literate persons, aged 60-64 [pt-BR]	float	0%	36
`V00758`	Literate persons, aged 65-69 [pt-BR]	float	0%	30
`V00759`	Literate persons, aged 70-79 [pt-BR]	float	0%	29
`V00760`	Literate persons, 80 years and over [pt-BR]	float	0%	19
`V00761`	Literate persons, aged 15-19, color or race é white [pt-BR]	float	0%	26
`V00762`	Literate persons, aged 15-19, color or race é black [pt-BR]	float	0%	10
`V00763`	Literate persons, aged 15-19, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V00764`	Literate persons, aged 15-19, color or race é brown (parda) [pt-BR]	float	0%	40
`V00765`	Literate persons, aged 15-19, color or race é indigenous [pt-BR]	string	0%	7
`V00766`	Literate persons, aged 20-24, color or race é white [pt-BR]	float	0%	28
`V00767`	Literate persons, aged 20-24, color or race é black [pt-BR]	float	0%	12
`V00768`	Literate persons, aged 20-24, color or race é yellow (Asian) [pt-BR]	string	0%	2
`V00769`	Literate persons, aged 20-24, color or race é brown (parda) [pt-BR]	float	0%	39
`V00770`	Literate persons, aged 20-24, color or race é indigenous [pt-BR]	float	0%	7
`V00771`	Literate persons, aged 25-29, color or race é white [pt-BR]	float	0%	26
`V00772`	Literate persons, aged 25-29, color or race é black [pt-BR]	float	0%	10
`V00773`	Literate persons, aged 25-29, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V00774`	Literate persons, aged 25-29, color or race é brown (parda) [pt-BR]	float	0%	39
`V00775`	Literate persons, aged 25-29, color or race é indigenous [pt-BR]	float	0%	9
`V00776`	Literate persons, aged 30-34, color or race é white [pt-BR]	float	0%	28
`V00777`	Literate persons, aged 30-34, color or race é black [pt-BR]	float	0%	10
`V00778`	Literate persons, aged 30-34, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V00779`	Literate persons, aged 30-34, color or race é brown (parda) [pt-BR]	float	0%	38
`V00780`	Literate persons, aged 30-34, color or race é indigenous [pt-BR]	float	0%	6
`V00781`	Literate persons, aged 35-39, color or race é white [pt-BR]	float	0%	25
`V00782`	Literate persons, aged 35-39, color or race é black [pt-BR]	float	0%	9
`V00783`	Literate persons, aged 35-39, color or race é yellow (Asian) [pt-BR]	string	0%	2
`V00784`	Literate persons, aged 35-39, color or race é brown (parda) [pt-BR]	float	0%	34
`V00785`	Literate persons, aged 35-39, color or race é indigenous [pt-BR]	string	0%	4
`V00786`	Literate persons, aged 40-44, color or race é white [pt-BR]	float	0%	27
`V00787`	Literate persons, aged 40-44, color or race é black [pt-BR]	float	0%	11
`V00788`	Literate persons, aged 40-44, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V00789`	Literate persons, aged 40-44, color or race é brown (parda) [pt-BR]	float	0%	37
`V00790`	Literate persons, aged 40-44, color or race é indigenous [pt-BR]	float	0%	4
`V00791`	Literate persons, aged 45-49, color or race é white [pt-BR]	float	0%	27
`V00792`	Literate persons, aged 45-49, color or race é black [pt-BR]	float	0%	12
`V00793`	Literate persons, aged 45-49, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V00794`	Literate persons, aged 45-49, color or race é brown (parda) [pt-BR]	float	0%	36
`V00795`	Literate persons, aged 45-49, color or race é indigenous [pt-BR]	float	0%	4
`V00796`	Literate persons, aged 50-54, color or race é white [pt-BR]	float	0%	28
`V00797`	Literate persons, aged 50-54, color or race é black [pt-BR]	float	0%	10
`V00798`	Literate persons, aged 50-54, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V00799`	Literate persons, aged 50-54, color or race é brown (parda) [pt-BR]	float	0%	33
`V00800`	Literate persons, aged 50-54, color or race é indigenous [pt-BR]	string	0%	3
`V00801`	Literate persons, aged 55-59, color or race é white [pt-BR]	float	0%	23
`V00802`	Literate persons, aged 55-59, color or race é black [pt-BR]	float	0%	8
`V00803`	Literate persons, aged 55-59, color or race é yellow (Asian) [pt-BR]	float	0%	3
`V00804`	Literate persons, aged 55-59, color or race é brown (parda) [pt-BR]	float	0%	27
`V00805`	Literate persons, aged 55-59, color or race é indigenous [pt-BR]	float	0%	2
`V00806`	Literate persons, aged 60-64, color or race é white [pt-BR]	float	0%	23
`V00807`	Literate persons, aged 60-64, color or race é black [pt-BR]	string	0%	6
`V00808`	Literate persons, aged 60-64, color or race é yellow (Asian) [pt-BR]	float	0%	3
`V00809`	Literate persons, aged 60-64, color or race é brown (parda) [pt-BR]	float	0%	21
`V00810`	Literate persons, aged 60-64, color or race é indigenous [pt-BR]	float	0%	2
`V00811`	Literate persons, aged 65-69, color or race é white [pt-BR]	float	0%	19
`V00812`	Literate persons, aged 65-69, color or race é black [pt-BR]	string	0%	5
`V00813`	Literate persons, aged 65-69, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V00814`	Literate persons, aged 65-69, color or race é brown (parda) [pt-BR]	float	0%	17
`V00815`	Literate persons, aged 65-69, color or race é indigenous [pt-BR]	float	0%	2
`V00816`	Literate persons, aged 70-79, color or race é white [pt-BR]	float	0%	21
`V00817`	Literate persons, aged 70-79, color or race é black [pt-BR]	float	0%	4
`V00818`	Literate persons, aged 70-79, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V00819`	Literate persons, aged 70-79, color or race é brown (parda) [pt-BR]	float	0%	18
`V00820`	Literate persons, aged 70-79, color or race é indigenous [pt-BR]	float	0%	2
`V00821`	Literate persons, 80 years and over, color or race é white [pt-BR]	float	0%	11
`V00822`	Literate persons, 80 years and over, color or race é black [pt-BR]	float	0%	4
`V00823`	Literate persons, 80 years and over, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V00824`	Literate persons, 80 years and over, color or race é brown (parda) [pt-BR]	float	0%	9
`V00825`	Literate persons, 80 years and over, color or race é indigenous [pt-BR]	float	0%	2
`V00826`	Literate persons, male, aged 15-19 [pt-BR]	float	0%	37
`V00827`	Literate persons, male, aged 20-24 [pt-BR]	float	0%	39
`V00828`	Literate persons, male, aged 25-29 [pt-BR]	float	0%	37
`V00829`	Literate persons, male, aged 30-34 [pt-BR]	float	0%	36
`V00830`	Literate persons, male, aged 35-39 [pt-BR]	float	0%	31
`V00831`	Literate persons, male, aged 40-44 [pt-BR]	float	0%	35
`V00832`	Literate persons, male, aged 45-49 [pt-BR]	float	0%	30
`V00833`	Literate persons, male, aged 50-54 [pt-BR]	float	0%	31
`V00834`	Literate persons, male, aged 55-59 [pt-BR]	float	0%	30
`V00835`	Literate persons, male, aged 60-64 [pt-BR]	float	0%	21
`V00836`	Literate persons, male, aged 65-69 [pt-BR]	float	0%	19
`V00837`	Literate persons, male, aged 70-79 [pt-BR]	float	0%	19
`V00838`	Literate persons, male, 80 years and over [pt-BR]	float	0%	10
`V00839`	Literate persons, female, aged 15-19 [pt-BR]	float	0%	37
`V00840`	Literate persons, female, aged 20-24 [pt-BR]	float	0%	35
`V00841`	Literate persons, female, aged 25-29 [pt-BR]	float	0%	39
`V00842`	Literate persons, female, aged 30-34 [pt-BR]	float	0%	35
`V00843`	Literate persons, female, aged 35-39 [pt-BR]	float	0%	37
`V00844`	Literate persons, female, aged 40-44 [pt-BR]	float	0%	38
`V00845`	Literate persons, female, aged 45-49 [pt-BR]	float	0%	37
`V00846`	Literate persons, female, aged 50-54 [pt-BR]	float	0%	32
`V00847`	Literate persons, female, aged 55-59 [pt-BR]	float	0%	28
`V00848`	Literate persons, female, aged 60-64 [pt-BR]	float	0%	25
`V00849`	Literate persons, female, aged 65-69 [pt-BR]	float	0%	19
`V00850`	Literate persons, female, aged 70-79 [pt-BR]	float	0%	18
`V00851`	Literate persons, female, 80 years and over [pt-BR]	float	0%	12
`V00852`	Aged 15-29, morador sabe ler and escrever [pt-BR]	float	0%	71
`V00853`	Aged 15-29, morador não sabe ler and escrever [pt-BR]	float	0%	5
`V00854`	Aged 30-59, morador sabe ler and escrever [pt-BR]	float	0%	71
`V00855`	Aged 30-59, morador não sabe ler and escrever [pt-BR]	float	0%	21
`V00856`	60 years and over, morador sabe ler and escrever [pt-BR]	float	0%	62
`V00857`	60 years and over, morador não sabe ler and escrever [pt-BR]	float	0%	33
`V00858`	Male, aged 15-29, morador sabe ler and escrever [pt-BR]	float	0%	63
`V00859`	Male, aged 15-29, morador não sabe ler and escrever [pt-BR]	string	0%	4
`V00860`	Male, aged 30-59, morador sabe ler and escrever [pt-BR]	float	0%	70
`V00861`	Male, aged 30-59, morador não sabe ler and escrever [pt-BR]	float	0%	13
`V00862`	Male, 60 years and over, morador sabe ler and escrever [pt-BR]	float	0%	45
`V00863`	Male, 60 years and over, morador não sabe ler and escrever [pt-BR]	float	0%	20
`V00864`	Female, aged 15-29, morador sabe ler and escrever [pt-BR]	float	0%	60
`V00865`	Female, aged 15-29, morador não sabe ler and escrever [pt-BR]	float	0%	3
`V00866`	Female, aged 30-59, morador sabe ler and escrever [pt-BR]	float	0%	71
`V00867`	Female, aged 30-59, morador não sabe ler and escrever [pt-BR]	float	0%	13
`V00868`	Female, 60 years and over, morador sabe ler and escrever [pt-BR]	float	0%	43
`V00869`	Female, 60 years and over, morador não sabe ler and escrever [pt-BR]	float	0%	21
`V00870`	Aged 15-29, color or race é white, morador sabe ler and escrever [pt-BR]	float	0%	50
`V00871`	Aged 15-29, color or race é white, morador não sabe ler and escrever [pt-BR]	string	0%	2
`V00872`	Aged 15-29, color or race é black, morador sabe ler and escrever [pt-BR]	float	0%	23
`V00873`	Aged 15-29, color or race é black, morador não sabe ler and escrever [pt-BR]	float	0%	2
`V00874`	Aged 15-29, color or race é yellow (Asian), morador sabe ler and escrever [pt-BR]	string	0%	2
`V00875`	Aged 15-29, color or race é yellow (Asian), morador não sabe ler and escrever [pt-BR]	float	0%	2
`V00876`	Aged 15-29, color or race é brown (parda), morador sabe ler and escrever [pt-BR]	float	0%	58
`V00877`	Aged 15-29, color or race é brown (parda), morador não sabe ler and escrever [pt-BR]	string	0%	4
`V00878`	Aged 15-29, color or race é indigenous, morador sabe ler and escrever [pt-BR]	float	0%	13
`V00879`	Aged 15-29, color or race é indigenous, morador não sabe ler and escrever [pt-BR]	float	0%	2
`V00880`	Aged 30-59, color or race é white, morador sabe ler and escrever [pt-BR]	float	0%	63
`V00881`	Aged 30-59, color or race é white, morador não sabe ler and escrever [pt-BR]	float	0%	9
`V00882`	Aged 30-59, color or race é black, morador sabe ler and escrever [pt-BR]	float	0%	33
`V00883`	Aged 30-59, color or race é black, morador não sabe ler and escrever [pt-BR]	float	0%	6
`V00884`	Aged 30-59, color or race é yellow (Asian), morador sabe ler and escrever [pt-BR]	string	0%	5
`V00885`	Aged 30-59, color or race é yellow (Asian), morador não sabe ler and escrever [pt-BR]	float	0%	2
`V00886`	Aged 30-59, color or race é brown (parda), morador sabe ler and escrever [pt-BR]	float	0%	70
`V00887`	Aged 30-59, color or race é brown (parda), morador não sabe ler and escrever [pt-BR]	float	0%	15
`V00888`	Aged 30-59, color or race é indigenous, morador sabe ler and escrever [pt-BR]	float	0%	9
`V00889`	Aged 30-59, color or race é indigenous, morador não sabe ler and escrever [pt-BR]	float	0%	5
`V00890`	60 years and over, color or race é white, morador sabe ler and escrever [pt-BR]	float	0%	47
`V00891`	60 years and over, color or race é white, morador não sabe ler and escrever [pt-BR]	float	0%	16
`V00892`	60 years and over, color or race é black, morador sabe ler and escrever [pt-BR]	float	0%	11
`V00893`	60 years and over, color or race é black, morador não sabe ler and escrever [pt-BR]	float	0%	8
`V00894`	60 years and over, color or race é yellow (Asian), morador sabe ler and escrever [pt-BR]	float	0%	4
`V00895`	60 years and over, color or race é yellow (Asian), morador não sabe ler and escrever [pt-BR]	float	0%	2
`V00896`	60 years and over, color or race é brown (parda), morador sabe ler and escrever [pt-BR]	float	0%	39
`V00897`	60 years and over, color or race é brown (parda), morador não sabe ler and escrever [pt-BR]	float	0%	23
`V00898`	60 years and over, color or race é indigenous, morador sabe ler and escrever [pt-BR]	float	0%	3
`V00899`	60 years and over, color or race é indigenous, morador não sabe ler and escrever [pt-BR]	float	0%	4
`V00900`	15 years and over, morador sabe ler and escrever [pt-BR]	float	0%	81
`V00901`	15 years and over, morador não sabe ler and escrever [pt-BR]	float	0%	43
`V00902`	15 years and over, color or race é white, morador sabe ler and escrever [pt-BR]	float	0%	72
`V00903`	15 years and over, color or race é white, morador não sabe ler and escrever [pt-BR]	float	0%	19
`V00904`	15 years and over, color or race é black, morador sabe ler and escrever [pt-BR]	float	0%	44
`V00905`	15 years and over, color or race é black, morador não sabe ler and escrever [pt-BR]	float	0%	13
`V00906`	15 years and over, color or race é yellow (Asian), morador sabe ler and escrever [pt-BR]	string	0%	8
`V00907`	15 years and over, color or race é yellow (Asian), morador não sabe ler and escrever [pt-BR]	float	0%	2
`V00908`	15 years and over, color or race é brown (parda), morador sabe ler and escrever [pt-BR]	float	0%	77
`V00909`	15 years and over, color or race é brown (parda), morador não sabe ler and escrever [pt-BR]	float	0%	29
`V00910`	15 years and over, color or race é indigenous, morador sabe ler and escrever [pt-BR]	float	0%	16
`V00911`	15 years and over, color or race é indigenous, morador não sabe ler and escrever [pt-BR]	float	0%	6
`V00912`	Male, 15 years and over, morador sabe ler and escrever [pt-BR]	float	0%	84
`V00913`	Male, 15 years and over, morador não sabe ler and escrever [pt-BR]	float	0%	27
`V00914`	Female, 15 years and over, morador sabe ler and escrever [pt-BR]	float	0%	75
`V00915`	Female, 15 years and over, morador não sabe ler and escrever [pt-BR]	float	0%	29
`V00916`	Male, 15 years and over, color or race é white, morador sabe ler and escrever [pt-BR]	float	0%	65
`V00917`	Male, 15 years and over, color or race é white, morador não sabe ler and escrever [pt-BR]	float	0%	12
`V00918`	Male, 15 years and over, color or race é black, morador sabe ler and escrever [pt-BR]	float	0%	33
`V00919`	Male, 15 years and over, color or race é black, morador não sabe ler and escrever [pt-BR]	float	0%	8
`V00920`	Male, 15 years and over, color or race é yellow (Asian), morador sabe ler and escrever [pt-BR]	float	0%	4
`V00921`	Male, 15 years and over, color or race é yellow (Asian), morador não sabe ler and escrever [pt-BR]	float	0%	2
`V00922`	Male, 15 years and over, color or race é brown (parda), morador sabe ler and escrever [pt-BR]	float	0%	65
`V00923`	Male, 15 years and over, color or race é brown (parda), morador não sabe ler and escrever [pt-BR]	float	0%	19
`V00924`	Male, 15 years and over, color or race é indigenous, morador sabe ler and escrever [pt-BR]	float	0%	11
`V00925`	Male, 15 years and over, color or race é indigenous, morador não sabe ler and escrever [pt-BR]	float	0%	4
`V00926`	Female, 15 years and over, color or race é white, morador sabe ler and escrever [pt-BR]	float	0%	66
`V00927`	Female, 15 years and over, color or race é white, morador não sabe ler and escrever [pt-BR]	float	0%	13
`V00928`	Female, 15 years and over, color or race é black, morador sabe ler and escrever [pt-BR]	float	0%	28
`V00929`	Female, 15 years and over, color or race é black, morador não sabe ler and escrever [pt-BR]	float	0%	8
`V00930`	Female, 15 years and over, color or race é yellow (Asian), morador sabe ler and escrever [pt-BR]	string	0%	5
`V00931`	Female, 15 years and over, color or race é yellow (Asian), morador não sabe ler and escrever [pt-BR]	float	0%	2
`V00932`	Female, 15 years and over, color or race é brown (parda), morador sabe ler and escrever [pt-BR]	float	0%	64
`V00933`	Female, 15 years and over, color or race é brown (parda), morador não sabe ler and escrever [pt-BR]	float	0%	22
`V00934`	Female, 15 years and over, color or race é indigenous, morador sabe ler and escrever [pt-BR]	float	0%	12
`V00935`	Female, 15 years and over, color or race é indigenous, morador não sabe ler and escrever [pt-BR]	float	0%	5
`V00936`	Persons responsible for the household pelo households, aged 15-19, morador sabe ler and escrever [pt-BR]	float	0%	14
`V00937`	Persons responsible for the household pelo households, aged 15-19, morador não sabe ler and escrever [pt-BR]	float	0%	2
`V00938`	Persons responsible for the household pelo households, aged 20-24, morador sabe ler and escrever [pt-BR]	float	0%	27
`V00939`	Persons responsible for the household pelo households, aged 20-24, morador não sabe ler and escrever [pt-BR]	float	0%	2
`V00940`	Persons responsible for the household pelo households, aged 25-29, morador sabe ler and escrever [pt-BR]	float	0%	32
`V00941`	Persons responsible for the household pelo households, aged 25-29, morador não sabe ler and escrever [pt-BR]	float	0%	2
`V00942`	Persons responsible for the household pelo households, aged 30-34, morador sabe ler and escrever [pt-BR]	float	0%	33
`V00943`	Persons responsible for the household pelo households, aged 30-34, morador não sabe ler and escrever [pt-BR]	string	0%	2
`V00944`	Persons responsible for the household pelo households, aged 35-39, morador sabe ler and escrever [pt-BR]	float	0%	33
`V00945`	Persons responsible for the household pelo households, aged 35-39, morador não sabe ler and escrever [pt-BR]	float	0%	2
`V00946`	Persons responsible for the household pelo households, aged 40-44, morador sabe ler and escrever [pt-BR]	float	0%	32
`V00947`	Persons responsible for the household pelo households, aged 40-44, morador não sabe ler and escrever [pt-BR]	float	0%	4
`V00948`	Persons responsible for the household pelo households, aged 45-49, morador sabe ler and escrever [pt-BR]	float	0%	34
`V00949`	Persons responsible for the household pelo households, aged 45-49, morador não sabe ler and escrever [pt-BR]	string	0%	5
`V00950`	Persons responsible for the household pelo households, aged 50-54, morador sabe ler and escrever [pt-BR]	float	0%	36
`V00951`	Persons responsible for the household pelo households, aged 50-54, morador não sabe ler and escrever [pt-BR]	string	0%	6
`V00952`	Persons responsible for the household pelo households, aged 55-59, morador sabe ler and escrever [pt-BR]	float	0%	33
`V00953`	Persons responsible for the household pelo households, aged 55-59, morador não sabe ler and escrever [pt-BR]	float	0%	8
`V00954`	Persons responsible for the household pelo households, aged 60-64, morador sabe ler and escrever [pt-BR]	float	0%	28
`V00955`	Persons responsible for the household pelo households, aged 60-64, morador não sabe ler and escrever [pt-BR]	float	0%	7
`V00956`	Persons responsible for the household pelo households, aged 65-69, morador sabe ler and escrever [pt-BR]	float	0%	23
`V00957`	Persons responsible for the household pelo households, aged 65-69, morador não sabe ler and escrever [pt-BR]	float	0%	8
`V00958`	Persons responsible for the household pelo households, aged 70-79, morador sabe ler and escrever [pt-BR]	float	0%	20
`V00959`	Persons responsible for the household pelo households, aged 70-79, morador não sabe ler and escrever [pt-BR]	float	0%	14
`V00960`	Persons responsible for the household pelo households, 80 years and over, morador sabe ler and escrever [pt-BR]	string	0%	9
`V00961`	Persons responsible for the household pelo households, 80 years and over, morador não sabe ler and escrever [pt-BR]	string	0%	7
`V00962`	Persons responsible for the household pelo households, 15 years and over, color or race é white, morador sabe ler and escrever [pt-BR]	float	0%	56
`V00963`	Persons responsible for the household pelo households, 15 years and over, color or race é white, morador não sabe ler and escrever [pt-BR]	float	0%	14
`V00964`	Persons responsible for the household pelo households, 15 years and over, color or race é black, morador sabe ler and escrever [pt-BR]	float	0%	28
`V00965`	Persons responsible for the household pelo households, 15 years and over, color or race é black, morador não sabe ler and escrever [pt-BR]	float	0%	8
`V00966`	Persons responsible for the household pelo households, 15 years and over, color or race é yellow (Asian), morador sabe ler and escrever [pt-BR]	float	0%	5
`V00967`	Persons responsible for the household pelo households, 15 years and over, color or race é yellow (Asian), morador não sabe ler and escrever [pt-BR]	float	0%	2
`V00968`	Persons responsible for the household pelo households, 15 years and over, color or race é brown (parda), morador sabe ler and escrever [pt-BR]	float	0%	70
`V00969`	Persons responsible for the household pelo households, 15 years and over, color or race é brown (parda), morador não sabe ler and escrever [pt-BR]	float	0%	20
`V00970`	Persons responsible for the household pelo households, 15 years and over, color or race é indigenous, morador sabe ler and escrever [pt-BR]	float	0%	9
`V00971`	Persons responsible for the household pelo households, 15 years and over, color or race é indigenous, morador não sabe ler and escrever [pt-BR]	float	0%	4
`V00972`	Persons responsible for the household pelo households, male, aged 15-29, morador sabe ler and escrever [pt-BR]	float	0%	32
`V00973`	Persons responsible for the household pelo households, male, aged 15-29, morador não sabe ler and escrever [pt-BR]	float	0%	2
`V00974`	Persons responsible for the household pelo households, male, aged 30-59, morador sabe ler and escrever [pt-BR]	float	0%	56
`V00975`	Persons responsible for the household pelo households, male, aged 30-59, morador não sabe ler and escrever [pt-BR]	float	0%	8
`V00976`	Persons responsible for the household pelo households, male, 60 years and over, morador sabe ler and escrever [pt-BR]	float	0%	33
`V00977`	Persons responsible for the household pelo households, male, 60 years and over, morador não sabe ler and escrever [pt-BR]	float	0%	13
`V00978`	Persons responsible for the household pelo households, female, aged 15-29, morador sabe ler and escrever [pt-BR]	float	0%	33
`V00979`	Persons responsible for the household pelo households, female, aged 15-29, morador não sabe ler and escrever [pt-BR]	float	0%	2
`V00980`	Persons responsible for the household pelo households, female, aged 30-59, morador sabe ler and escrever [pt-BR]	float	0%	53
`V00981`	Persons responsible for the household pelo households, female, aged 30-59, morador não sabe ler and escrever [pt-BR]	float	0%	10
`V00982`	Persons responsible for the household pelo households, female, 60 years and over, morador sabe ler and escrever [pt-BR]	float	0%	29
`V00983`	Persons responsible for the household pelo households, female, 60 years and over, morador não sabe ler and escrever [pt-BR]	float	0%	15
`V00984`	Persons responsible for the household pelo households, 15 years and over, morador sabe ler and escrever [pt-BR]	float	0%	77
`V00985`	Persons responsible for the household pelo households, 15 years and over, morador não sabe ler and escrever [pt-BR]	float	0%	31
`V00986`	Persons responsible for the household pelo households, male, 15 years and over, morador sabe ler and escrever [pt-BR]	float	0%	67
`V00987`	Persons responsible for the household pelo households, male, 15 years and over, morador não sabe ler and escrever [pt-BR]	float	0%	19
`V00988`	Persons responsible for the household pelo households, female, 15 years and over, morador sabe ler and escrever [pt-BR]	float	0%	58
`V00989`	Persons responsible for the household pelo households, female, 15 years and over, morador não sabe ler and escrever [pt-BR]	float	0%	20
`V00990`	Occupied private permanent households, persons responsible for the household pelo households, literate persons, male, 15 years and over [pt-BR]	float	0%	67
`V00991`	Occupied private permanent households, persons responsible for the household pelo households, literate persons, female, 15 years and over [pt-BR]	float	0%	57
`V00992`	Occupied private permanent households, cônjuges or companheiros(the) (of sex diferente and of mesmo sex of persons responsible for the household), literate persons, male, 15 years and over [pt-BR]	float	0%	55
`V00993`	Occupied private permanent households, cônjuges or companheiros(the) (of sex diferente and of mesmo sex of persons responsible for the household), literate persons, female, 15 years and over [pt-BR]	float	0%	63
`V00994`	Occupied private permanent households, filhos(the) or enteados(the), literate persons, male, 15 years and over [pt-BR]	float	0%	48
`V00995`	Occupied private permanent households, filhos(the) or enteados(the), literate persons, female, 15 years and over [pt-BR]	float	0%	42
`V00996`	Occupied private permanent households, pais, mães or sogros(the), literate persons, male, 15 years and over [pt-BR]	float	0%	11
`V00997`	Occupied private permanent households, pais, mães or sogros(the), literate persons, female, 15 years and over [pt-BR]	float	0%	20
`V00998`	Occupied private permanent households, netos(the) or bisnetos(the), literate persons, male, 15 years and over [pt-BR]	float	0%	11
`V00999`	Occupied private permanent households, netos(the) or bisnetos(the), literate persons, female, 15 years and over [pt-BR]	float	0%	10
`V01000`	Occupied private permanent households, irmãos or irmãs, literate persons, male, 15 years and over [pt-BR]	float	0%	11
`V01001`	Occupied private permanent households, irmãos or irmãs, literate persons, female, 15 years and over [pt-BR]	float	0%	10
`V01002`	Occupied private permanent households, outros parentes, literate persons, male, 15 years and over [pt-BR]	float	0%	14
`V01003`	Occupied private permanent households, outros parentes, literate persons, female, 15 years and over [pt-BR]	float	0%	13
`V01004`	Occupied private permanent households, convivente, literate persons, male, 15 years and over [pt-BR]	string	0%	8
`V01005`	Occupied private permanent households, convivente, literate persons, female, 15 years and over [pt-BR]	string	0%	5
`topic`	Source topic ZIP key (basico, demografia, ...) [pt-BR]	string	0%	1
`source_csv`	Source CSV file name within the topic ZIP [pt-BR]	string	0%	1

BRA ibge - setor_basico — 468099 rows, 42 columns

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	Country code (ISO 3166-1 alpha-3) [pt-BR]	string	SEL+	0%	1
`admin_level`	Administrative level (admin_0..admin_3) [pt-BR]	string	SEL	0%	1
`admin_name`	Geographic unit name [pt-BR]	string	SEL	0%	7
`setor_code`	Census-sector identifier (15-digit IBGE code) [pt-BR]	float	SEL	0%	100
`AREA_KM2`	Sector area in square kilometres [pt-BR]	float	SEL	0%	100

Extension Fields (37) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`CD_SETOR`	Census-sector code (15-digit) [pt-BR]	float	0%	100
`SITUACAO`	Setting (urban or rural label) [pt-BR]	string	0%	2
`CD_SIT`	Setting code (urban/rural numeric) [pt-BR]	float	0%	5
`CD_TIPO`	Sector-type code (regular, special, etc.) [pt-BR]	float	0%	5
`CD_REGIAO`	Macro-region code (1=North, 2=Northeast, 3=Southeast, 4=South, 5=Center-West) [pt-BR]	float	0%	1
`NM_REGIAO`	Macro-region name [pt-BR]	string	0%	1
`CD_UF`	State (UF) code [pt-BR]	float	0%	1
`NM_UF`	State name [pt-BR]	string	0%	1
`CD_MUN`	Municipality code (7-digit) [pt-BR]	float	0%	2
`NM_MUN`	Municipality name [pt-BR]	string	0%	2
`CD_DIST`	District code [pt-BR]	float	0%	7
`NM_DIST`	District name [pt-BR]	string	0%	7
`CD_SUBDIST`	Sub-district code [pt-BR]	float	0%	7
`NM_SUBDIST`	Sub-district name [pt-BR]	string	100%	-
`CD_BAIRRO`	Neighborhood code [pt-BR]	float	0%	12
`NM_BAIRRO`	Neighborhood name [pt-BR]	string	67%	11
`CD_NU`	Urban-nucleus code [pt-BR]	string	0%	2
`NM_NU`	Urban-nucleus name [pt-BR]	string	99%	1
`CD_FCU`	Concentrated-rural-fringe code [pt-BR]	string	0%	1
`NM_FCU`	Concentrated-rural-fringe name [pt-BR]	string	100%	-
`CD_AGLOM`	Population-agglomeration code [pt-BR]	string	0%	20
`NM_AGLOM`	Population-agglomeration name [pt-BR]	string	81%	19
`CD_RGINT`	Intermediate Geographic Region code [pt-BR]	float	0%	2
`NM_RGINT`	Intermediate Geographic Region name [pt-BR]	string	0%	2
`CD_RGI`	Immediate Geographic Region code [pt-BR]	float	0%	2
`NM_RGI`	Immediate Geographic Region name [pt-BR]	string	0%	2
`CD_CONCURB`	Urban concentration code [pt-BR]	string	0%	1
`NM_CONCURB`	Urban concentration name [pt-BR]	string	100%	-
`v0001`	Total resident population [pt-BR]	float	0%	85
`v0002`	Total private permanent households [pt-BR]	float	0%	81
`v0003`	Total occupied private permanent households [pt-BR]	float	0%	78
`v0004`	Average resident population per occupied private permanent household [pt-BR]	float	0%	5
`v0005`	Average household nominal monthly income (BRL) [pt-BR]	float	0%	23
`v0006`	Average household nominal monthly income per capita (BRL) [pt-BR]	float	0%	49
`v0007`	Number of female persons responsible for the household [pt-BR]	float	0%	78
`topic`	Source topic ZIP key (basico, demografia, ...) [pt-BR]	string	0%	1
`source_csv`	Source CSV file name within the topic ZIP [pt-BR]	string	0%	1

BRA ibge - setor_cor_ou_raca — 458772 rows, 102 columns

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	Country code (ISO 3166-1 alpha-3) [pt-BR]	string	SEL+	0%	1
`admin_level`	Administrative level (admin_0..admin_3) [pt-BR]	string	SEL	0%	1
`admin_name`	Geographic unit name [pt-BR]	string	SEL	0%	1
`setor_code`	Census-sector identifier (15-digit IBGE code) [pt-BR]	float	SEL	0%	100

Extension Fields (98) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`CD_SETOR`	Census-sector code (15-digit) [pt-BR]	float	0%	100
`V01317`	Color or race é white [pt-BR]	float	0%	73
`V01318`	Color or race é black [pt-BR]	float	0%	51
`V01319`	Color or race é yellow (Asian) [pt-BR]	string	0%	8
`V01320`	Color or race é brown (parda) [pt-BR]	float	0%	76
`V01321`	Color or race é indigenous [pt-BR]	float	0%	20
`V01322`	Male, color or race é white [pt-BR]	float	0%	65
`V01323`	Male, color or race é black [pt-BR]	float	0%	38
`V01324`	Male, color or race é yellow (Asian) [pt-BR]	float	0%	6
`V01325`	Male, color or race é brown (parda) [pt-BR]	float	0%	66
`V01326`	Male, color or race é indigenous [pt-BR]	float	0%	16
`V01327`	Female, color or race é white [pt-BR]	float	0%	69
`V01328`	Female, color or race é black [pt-BR]	float	0%	33
`V01329`	Female, color or race é yellow (Asian) [pt-BR]	string	0%	5
`V01330`	Female, color or race é brown (parda) [pt-BR]	float	0%	70
`V01331`	Female, color or race é indigenous [pt-BR]	float	0%	14
`V01332`	Color or race of persons responsible for the household pelo households é white [pt-BR]	float	0%	59
`V01333`	Color or race of persons responsible for the household pelo households é black [pt-BR]	float	0%	34
`V01334`	Color or race of persons responsible for the household pelo households é yellow (Asian) [pt-BR]	float	0%	5
`V01335`	Color or race of persons responsible for the household pelo households é brown (parda) [pt-BR]	float	0%	67
`V01336`	Color or race of persons responsible for the household pelo households é indigenous [pt-BR]	float	0%	11
`V01337`	Color or race of persons responsible for the household pelo households é white, sex of persons responsible for the household pelo households é male [pt-BR]	float	0%	49
`V01338`	Color or race of persons responsible for the household pelo households é white, sex of persons responsible for the household pelo households é female [pt-BR]	float	0%	48
`V01339`	Color or race of persons responsible for the household pelo households é black, sex of persons responsible for the household pelo households é male [pt-BR]	float	0%	21
`V01340`	Color or race of persons responsible for the household pelo households é black, sex of persons responsible for the household pelo households é female [pt-BR]	float	0%	20
`V01341`	Color or race of persons responsible for the household pelo households é yellow (Asian), sex of persons responsible for the household pelo households é male [pt-BR]	float	0%	2
`V01342`	Color or race of persons responsible for the household pelo households é yellow (Asian), sex of persons responsible for the household pelo households é female [pt-BR]	float	0%	3
`V01343`	Color or race of persons responsible for the household pelo households é brown (parda), sex of persons responsible for the household pelo households é male [pt-BR]	float	0%	52
`V01344`	Color or race of persons responsible for the household pelo households é brown (parda), sex of persons responsible for the household pelo households é female [pt-BR]	float	0%	55
`V01345`	Color or race of persons responsible for the household pelo households é indigenous, sex of persons responsible for the household pelo households é male [pt-BR]	string	0%	9
`V01346`	Color or race of persons responsible for the household pelo households é indigenous, sex of persons responsible for the household pelo households é female [pt-BR]	string	0%	7
`V01347`	Color or race of persons responsible for the household pelo households é white, aged 12-17 [pt-BR]	float	0%	5
`V01348`	Color or race of persons responsible for the household pelo households é white, aged 18-24 [pt-BR]	float	0%	11
`V01349`	Color or race of persons responsible for the household pelo households é white, aged 25-39 [pt-BR]	float	0%	33
`V01350`	Color or race of persons responsible for the household pelo households é white, aged 40-59 [pt-BR]	float	0%	42
`V01351`	Color or race of persons responsible for the household pelo households é white, 60 years and over [pt-BR]	float	0%	40
`V01352`	Color or race of persons responsible for the household pelo households é black, aged 12-17 [pt-BR]	float	0%	2
`V01353`	Color or race of persons responsible for the household pelo households é black, aged 18-24 [pt-BR]	string	0%	6
`V01354`	Color or race of persons responsible for the household pelo households é black, aged 25-39 [pt-BR]	float	0%	15
`V01355`	Color or race of persons responsible for the household pelo households é black, aged 40-59 [pt-BR]	float	0%	18
`V01356`	Color or race of persons responsible for the household pelo households é black, 60 years and over [pt-BR]	float	0%	12
`V01357`	Color or race of persons responsible for the household pelo households é yellow (Asian), aged 12-17 [pt-BR]	float	0%	2
`V01358`	Color or race of persons responsible for the household pelo households é yellow (Asian), aged 18-24 [pt-BR]	float	0%	2
`V01359`	Color or race of persons responsible for the household pelo households é yellow (Asian), aged 25-39 [pt-BR]	float	0%	2
`V01360`	Color or race of persons responsible for the household pelo households é yellow (Asian), aged 40-59 [pt-BR]	float	0%	3
`V01361`	Color or race of persons responsible for the household pelo households é yellow (Asian), 60 years and over [pt-BR]	float	0%	3
`V01362`	Color or race of persons responsible for the household pelo households é brown (parda), aged 12-17 [pt-BR]	float	0%	8
`V01363`	Color or race of persons responsible for the household pelo households é brown (parda), aged 18-24 [pt-BR]	float	0%	24
`V01364`	Color or race of persons responsible for the household pelo households é brown (parda), aged 25-39 [pt-BR]	float	0%	50
`V01365`	Color or race of persons responsible for the household pelo households é brown (parda), aged 40-59 [pt-BR]	float	0%	49
`V01366`	Color or race of persons responsible for the household pelo households é brown (parda), 60 years and over [pt-BR]	float	0%	36
`V01367`	Color or race of persons responsible for the household pelo households é indigenous, aged 12-17 [pt-BR]	float	0%	2
`V01368`	Color or race of persons responsible for the household pelo households é indigenous, aged 18-24 [pt-BR]	float	0%	4
`V01369`	Color or race of persons responsible for the household pelo households é indigenous, aged 25-39 [pt-BR]	string	0%	7
`V01370`	Color or race of persons responsible for the household pelo households é indigenous, aged 40-59 [pt-BR]	float	0%	4
`V01371`	Color or race of persons responsible for the household pelo households é indigenous, 60 years and over [pt-BR]	float	0%	3
`V01372`	Aged 0-14, color or race é white [pt-BR]	float	0%	53
`V01373`	Aged 0-14, color or race é black [pt-BR]	float	0%	16
`V01374`	Aged 0-14, color or race é yellow (Asian) [pt-BR]	float	0%	3
`V01375`	Aged 0-14, color or race é brown (parda) [pt-BR]	float	0%	61
`V01376`	Aged 0-14, color or race é indigenous [pt-BR]	float	0%	13
`V01377`	Aged 15-29, color or race é white [pt-BR]	float	0%	53
`V01378`	Aged 15-29, color or race é black [pt-BR]	float	0%	23
`V01379`	Aged 15-29, color or race é yellow (Asian) [pt-BR]	string	0%	2
`V01380`	Aged 15-29, color or race é brown (parda) [pt-BR]	float	0%	59
`V01381`	Aged 15-29, color or race é indigenous [pt-BR]	float	0%	13
`V01382`	Aged 30-59, color or race é white [pt-BR]	float	0%	66
`V01383`	Aged 30-59, color or race é black [pt-BR]	float	0%	34
`V01384`	Aged 30-59, color or race é yellow (Asian) [pt-BR]	string	0%	5
`V01385`	Aged 30-59, color or race é brown (parda) [pt-BR]	float	0%	68
`V01386`	Aged 30-59, color or race é indigenous [pt-BR]	float	0%	10
`V01387`	60 years and over, color or race é white [pt-BR]	float	0%	45
`V01388`	60 years and over, color or race é black [pt-BR]	float	0%	16
`V01389`	60 years and over, color or race é yellow (Asian) [pt-BR]	float	0%	4
`V01390`	60 years and over, color or race é brown (parda) [pt-BR]	float	0%	51
`V01391`	60 years and over, color or race é indigenous [pt-BR]	float	0%	5
`V01392`	Male, aged 0-9, color or race é white [pt-BR]	float	0%	28
`V01393`	Male, aged 0-9, color or race é black [pt-BR]	float	0%	5
`V01394`	Male, aged 0-9, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V01395`	Male, aged 0-9, color or race é brown (parda) [pt-BR]	float	0%	36
`V01396`	Male, aged 0-9, color or race é indigenous [pt-BR]	string	0%	7
`V01397`	Male, 10 years and over, color or race é white [pt-BR]	float	0%	62
`V01398`	Male, 10 years and over, color or race é black [pt-BR]	float	0%	35
`V01399`	Male, 10 years and over, color or race é yellow (Asian) [pt-BR]	float	0%	5
`V01400`	Male, 10 years and over, color or race é brown (parda) [pt-BR]	float	0%	72
`V01401`	Male, 10 years and over, color or race é indigenous [pt-BR]	float	0%	13
`V01402`	Female, aged 0-9, color or race é white [pt-BR]	float	0%	27
`V01403`	Female, aged 0-9, color or race é black [pt-BR]	string	0%	5
`V01404`	Female, aged 0-9, color or race é yellow (Asian) [pt-BR]	float	0%	2
`V01405`	Female, aged 0-9, color or race é brown (parda) [pt-BR]	float	0%	33
`V01406`	Female, aged 0-9, color or race é indigenous [pt-BR]	string	0%	8
`V01407`	Female, 10 years and over, color or race é white [pt-BR]	float	0%	61
`V01408`	Female, 10 years and over, color or race é black [pt-BR]	float	0%	30
`V01409`	Female, 10 years and over, color or race é yellow (Asian) [pt-BR]	string	0%	6
`V01410`	Female, 10 years and over, color or race é brown (parda) [pt-BR]	float	0%	69
`V01411`	Female, 10 years and over, color or race é indigenous [pt-BR]	float	0%	13
`topic`	Source topic ZIP key (basico, demografia, ...) [pt-BR]	string	0%	1
`source_csv`	Source CSV file name within the topic ZIP [pt-BR]	string	0%	1

BRA ibge - setor_demografia — 458772 rows, 43 columns

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	Country code (ISO 3166-1 alpha-3) [pt-BR]	string	SEL+	0%	1
`admin_level`	Administrative level (admin_0..admin_3) [pt-BR]	string	SEL	0%	1
`admin_name`	Geographic unit name [pt-BR]	string	SEL	0%	1
`setor_code`	Census-sector identifier (15-digit IBGE code) [pt-BR]	float	SEL	0%	100

Extension Fields (39) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`CD_setor`	Census-sector code (15-digit) [pt-BR]	float	0%	100
`V01006`	Total resident population [pt-BR]	float	0%	81
`V01007`	Female resident population [pt-BR]	float	0%	83
`V01008`	Male resident population [pt-BR]	float	0%	83
`V01009`	Resident population aged 0-4 [pt-BR]	float	0%	32
`V01010`	Resident population aged 5-9 [pt-BR]	float	0%	36
`V01011`	Resident population aged 10-14 [pt-BR]	float	0%	35
`V01012`	Resident population aged 15-19 [pt-BR]	float	0%	38
`V01013`	Resident population aged 20-24 [pt-BR]	float	0%	35
`V01014`	Resident population aged 25-29 [pt-BR]	float	0%	37
`V01015`	Resident population aged 30-34 [pt-BR]	float	0%	51
`V01016`	Resident population aged 35-39 [pt-BR]	float	0%	49
`V01017`	Resident population aged 40-44 [pt-BR]	float	0%	47
`V01018`	Resident population aged 45-49 [pt-BR]	float	0%	35
`V01019`	Resident population aged 50-54 [pt-BR]	float	0%	28
`V01020`	Resident population aged 55-59 [pt-BR]	float	0%	30
`V01021`	Resident population aged 60-64 [pt-BR]	float	0%	31
`V01022`	Resident population aged 65-69 [pt-BR]	float	0%	31
`V01023`	Resident population aged 70-74 [pt-BR]	float	0%	36
`V01024`	Resident population aged 75-79 [pt-BR]	float	0%	34
`V01025`	Resident population aged 80 and over [pt-BR]	float	0%	41
`V01026`	Female resident population aged 0-4 [pt-BR]	float	0%	50
`V01027`	Female resident population aged 5-9 [pt-BR]	float	0%	49
`V01028`	Female resident population aged 10-14 [pt-BR]	float	0%	44
`V01029`	Female resident population aged 15-19 [pt-BR]	float	0%	39
`V01030`	Female resident population aged 20-24 [pt-BR]	float	0%	31
`V01031`	Female resident population aged 25-29 [pt-BR]	float	0%	47
`V01032`	Female resident population aged 30-34 [pt-BR]	float	0%	48
`V01033`	Female resident population aged 35-39 [pt-BR]	float	0%	53
`V01034`	Female resident population aged 40-44 [pt-BR]	float	0%	52
`V01035`	Female resident population aged 45-49 [pt-BR]	float	0%	52
`V01036`	Female resident population aged 50-54 [pt-BR]	float	0%	51
`V01037`	Female resident population aged 55-59 [pt-BR]	float	0%	65
`V01038`	Female resident population aged 60-64 [pt-BR]	float	0%	62
`V01039`	Female resident population aged 65-69 [pt-BR]	float	0%	60
`V01040`	Female resident population aged 70-74 [pt-BR]	float	0%	49
`V01041`	Female resident population aged 75 and over [pt-BR]	float	0%	43
`topic`	Source topic ZIP key (basico, demografia, ...) [pt-BR]	string	0%	1
`source_csv`	Source CSV file name within the topic ZIP [pt-BR]	string	0%	1

BRA World Values Survey BRA-WVS Attitudes Values

2 rows · 2 table(s) World Values Survey 0 1 2 3 2 SEL 35 CCL 83 ext ▶

Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 2 table(s)

BRA wvs - country_aggregates — 1 rows, 26 columns

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	country_code	string	SEL	0%	1
`importance_religion`	importance_religion	integer	CCL	0%	1
`trust_people`	trust_people	integer	CCL	0%	1
`gender_jobs_scarce`	gender_jobs_scarce	integer	CCL	0%	1
`immigration_policy`	immigration_policy	integer	CCL	0%	1
`confidence_government`	confidence_government	integer	CCL	0%	1

Extension Fields (20) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`wave`	wave	integer	0%	1
`wave_years`	wave_years	string	0%	1
`source`	source	string	0%	1
`importance_family`	importance_family	integer	0%	1
`importance_friends`	importance_friends	integer	0%	1
`trust_family`	trust_family	integer	0%	1
`life_satisfaction`	life_satisfaction	integer	0%	1
`happiness`	happiness	integer	0%	1
`freedom_choice`	freedom_choice	integer	0%	1
`gender_political_leaders`	gender_political_leaders	integer	0%	1
`gender_university`	gender_university	integer	0%	1
`justifiable_divorce`	justifiable_divorce	integer	0%	1
`justifiable_homosexuality`	justifiable_homosexuality	integer	0%	1
`immigrants_jobs`	immigrants_jobs	integer	0%	1
`immigrants_culture`	immigrants_culture	integer	0%	1
`confidence_parliament`	confidence_parliament	integer	0%	1
`confidence_police`	confidence_police	integer	0%	1
`confidence_courts`	confidence_courts	integer	0%	1
`confidence_press`	confidence_press	integer	0%	1
`democracy_importance`	democracy_importance	integer	0%	1

BRA wvs - survey_aggregates — 1 rows, 94 columns

Standards-Aligned Fields (31)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	country_code	string	SEL	0%	1
`importance_family_mean`	importance_family_mean	float	CCL	0%	1
`importance_friends_mean`	importance_friends_mean	float	CCL	0%	1
`importance_leisure_mean`	importance_leisure_mean	float	CCL	0%	1
`importance_politics_mean`	importance_politics_mean	float	CCL	0%	1
`importance_religion_mean`	importance_religion_mean	float	CCL	0%	1
`importance_religion_n`	importance_religion_n	integer	CCL	0%	1
`happiness_mean`	happiness_mean	float	CCL	0%	1
`freedom_of_choice_mean`	freedom_of_choice_mean	float	CCL	0%	1
`life_satisfaction_mean`	life_satisfaction_mean	float	CCL	0%	1
`trust_most_people_mean`	trust_most_people_mean	float	CCL	0%	1
`trust_family_mean`	trust_family_mean	float	CCL	0%	1
`trust_neighbors_mean`	trust_neighbors_mean	float	CCL	0%	1
`trust_people_know_personally_mean`	trust_people_know_personally_mean	float	CCL	0%	1
`trust_strangers_mean`	trust_strangers_mean	float	CCL	0%	1
`trust_other_religion_mean`	trust_other_religion_mean	float	CCL	0%	1
`trust_other_nationality_mean`	trust_other_nationality_mean	float	CCL	0%	1
`confidence_parliament_mean`	confidence_parliament_mean	float	CCL	0%	1
`confidence_government_mean`	confidence_government_mean	float	CCL	0%	1
`confidence_press_mean`	confidence_press_mean	float	CCL	0%	1
`confidence_police_mean`	confidence_police_mean	float	CCL	0%	1
`confidence_courts_mean`	confidence_courts_mean	float	CCL	0%	1
`gender_jobs_scarce_men_priority_mean`	gender_jobs_scarce_men_priority_mean	float	CCL	0%	1
`gender_men_better_political_leaders_mean`	gender_men_better_political_leaders_mean	float	CCL	0%	1
`gender_university_more_important_for_boys_mean`	gender_university_more_important_for_boys_mean	float	CCL	0%	1
`immigration_policy_mean`	immigration_policy_mean	float	CCL	0%	1
`immigrants_take_jobs_mean`	immigrants_take_jobs_mean	float	CCL	0%	1
`immigrants_increase_crime_mean`	immigrants_increase_crime_mean	float	CCL	0%	1
`justifiable_homosexuality_mean`	justifiable_homosexuality_mean	float	CCL	0%	1
`justifiable_divorce_mean`	justifiable_divorce_mean	float	CCL	0%	1
`importance_democracy_mean`	importance_democracy_mean	float	CCL	0%	1

Extension Fields (63) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`wave`	wave	integer	0%	1
`wave_years`	wave_years	string	0%	1
`respondents`	respondents	integer	0%	1
`source`	source	string	0%	1
`importance_family_n`	importance_family_n	integer	0%	1
`importance_family_domain`	importance_family_domain	string	0%	1
`importance_friends_n`	importance_friends_n	integer	0%	1
`importance_friends_domain`	importance_friends_domain	string	0%	1
`importance_leisure_n`	importance_leisure_n	integer	0%	1
`importance_leisure_domain`	importance_leisure_domain	string	0%	1
`importance_politics_n`	importance_politics_n	integer	0%	1
`importance_politics_domain`	importance_politics_domain	string	0%	1
`importance_religion_domain`	importance_religion_domain	string	0%	1
`happiness_n`	happiness_n	integer	0%	1
`happiness_domain`	happiness_domain	string	0%	1
`freedom_of_choice_n`	freedom_of_choice_n	integer	0%	1
`freedom_of_choice_domain`	freedom_of_choice_domain	string	0%	1
`life_satisfaction_n`	life_satisfaction_n	integer	0%	1
`life_satisfaction_domain`	life_satisfaction_domain	string	0%	1
`trust_most_people_n`	trust_most_people_n	integer	0%	1
`trust_most_people_domain`	trust_most_people_domain	string	0%	1
`trust_family_n`	trust_family_n	integer	0%	1
`trust_family_domain`	trust_family_domain	string	0%	1
`trust_neighbors_n`	trust_neighbors_n	integer	0%	1
`trust_neighbors_domain`	trust_neighbors_domain	string	0%	1
`trust_people_know_personally_n`	trust_people_know_personally_n	integer	0%	1
`trust_people_know_personally_domain`	trust_people_know_personally_domain	string	0%	1
`trust_strangers_n`	trust_strangers_n	integer	0%	1
`trust_strangers_domain`	trust_strangers_domain	string	0%	1
`trust_other_religion_n`	trust_other_religion_n	integer	0%	1
`trust_other_religion_domain`	trust_other_religion_domain	string	0%	1
`trust_other_nationality_n`	trust_other_nationality_n	integer	0%	1
`trust_other_nationality_domain`	trust_other_nationality_domain	string	0%	1
`confidence_parliament_n`	confidence_parliament_n	integer	0%	1
`confidence_parliament_domain`	confidence_parliament_domain	string	0%	1
`confidence_government_n`	confidence_government_n	integer	0%	1
`confidence_government_domain`	confidence_government_domain	string	0%	1
`confidence_press_n`	confidence_press_n	integer	0%	1
`confidence_press_domain`	confidence_press_domain	string	0%	1
`confidence_police_n`	confidence_police_n	integer	0%	1
`confidence_police_domain`	confidence_police_domain	string	0%	1
`confidence_courts_n`	confidence_courts_n	integer	0%	1
`confidence_courts_domain`	confidence_courts_domain	string	0%	1
`gender_jobs_scarce_men_priority_n`	gender_jobs_scarce_men_priority_n	integer	0%	1
`gender_jobs_scarce_men_priority_domain`	gender_jobs_scarce_men_priority_domain	string	0%	1
`gender_men_better_political_leaders_n`	gender_men_better_political_leaders_n	integer	0%	1
`gender_men_better_political_leaders_domain`	gender_men_better_political_leaders_domain	string	0%	1
`gender_university_more_important_for_boys_n`	gender_university_more_important_for_boys_n	integer	0%	1
`gender_university_more_important_for_boys_domain`	gender_university_more_important_for_boys_domain	string	0%	1
`immigration_policy_n`	immigration_policy_n	integer	0%	1
`immigration_policy_domain`	immigration_policy_domain	string	0%	1
`immigrants_take_jobs_n`	immigrants_take_jobs_n	integer	0%	1
`immigrants_take_jobs_domain`	immigrants_take_jobs_domain	string	0%	1
`immigrants_increase_crime_n`	immigrants_increase_crime_n	integer	0%	1
`immigrants_increase_crime_domain`	immigrants_increase_crime_domain	string	0%	1
`justifiable_homosexuality_n`	justifiable_homosexuality_n	integer	0%	1
`justifiable_homosexuality_domain`	justifiable_homosexuality_domain	string	0%	1
`justifiable_divorce_n`	justifiable_divorce_n	integer	0%	1
`justifiable_divorce_domain`	justifiable_divorce_domain	string	0%	1
`importance_democracy_n`	importance_democracy_n	integer	0%	1
`importance_democracy_domain`	importance_democracy_domain	string	0%	1
`source_url`	source_url	string	0%	1
`license`	license	string	0%	1

BRA Ethnic Power Relations Dataset BRA-EPR Political Ethnicity

6 rows · 1 table(s) Ethnic Power Relations Dataset 0 1 2 3 1 SEL 5 CCL 2 ext ▶

Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

BRA epr - groups — 3 rows, 8 columns

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	country_code	string	SEL	0%	1
`ethnic_group_name`	ethnic_group_name	string	CCL	0%	3
`ethnic_power_status`	ethnic_power_status	string	CCL	0%	2
`ethnic_population_share`	ethnic_population_share	float	CCL	0%	3
`ethnic_group_id`	ethnic_group_id	float	CCL	0%	3
`regional_autonomy`	regional_autonomy	string	CCL	0%	2

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`year`	year	integer	0%	1
`group_relevance`	group_relevance	string	0%	1

BRA D-PLACE BRA-DPLACE Ethnographic Societies

90 rows · 2 table(s) D-PLACE 0 1 2 3 2 SEL 16 CCL 42 ext ▶

Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 2 table(s)

BRA dplace - dplace_ea_societies — 30 rows, 18 columns

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	country_code	string	SEL	0%	1
`society_id`	society_id	string	CCL	0%	30
`society_name`	society_name	string	CCL	0%	30
`language_glottocode`	language_glottocode	string	CCL	0%	30
`language_name`	language_name	string	CCL	0%	1
`kinship_system`	kinship_system	string	CCL	0%	20
`marriage_pattern`	marriage_pattern	string	CCL	0%	25
`subsistence_pattern`	subsistence_pattern	string	CCL	0%	21
`political_complexity`	political_complexity	string	CCL	0%	11
`religion_importance`	religion_importance	string	CCL	0%	16
`residence_pattern`	residence_pattern	string	CCL	0%	13

Extension Fields (11) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`country_name`	country_name	string	0%	1
`dataset`	dataset	string	0%	1
`region`	region	string	0%	1
`latitude`	latitude	float	0%	21
`longitude`	longitude	float	0%	19
`assignment_method`	assignment_method	string	0%	1
`assignment_confidence`	assignment_confidence	string	0%	1
`source`	source	string	0%	1
`source_url`	source_url	string	0%	1
`license`	license	string	0%	1
`data_vintage`	data_vintage	float	0%	1

BRA dplace - dplace_ea_societies_decoded — 30 rows, 38 columns

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	country_code	string	SEL	0%	1
`society_id`	society_id	string	CCL	0%	30
`society_name`	society_name	string	CCL	0%	30
`language_glottocode`	language_glottocode	string	CCL	0%	30
`language_name`	language_name	string	CCL	0%	1
`predominant_subsistence`	predominant_subsistence	integer	CCL	7%	3
`residence_after_marriage`	residence_after_marriage	integer	CCL	7%	3

Extension Fields (31) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`country_name`	country_name	string	0%	1
`dataset`	dataset	string	0%	1
`region`	region	string	0%	1
`latitude`	latitude	float	0%	21
`longitude`	longitude	float	0%	19
`assignment_method`	assignment_method	string	0%	1
`assignment_confidence`	assignment_confidence	string	0%	1
`mode_of_marriage`	mode_of_marriage	integer	0%	5
`family_organization`	family_organization	integer	0%	7
`marital_composition`	marital_composition	integer	0%	5
`community_marriage_org`	community_marriage_org	integer	0%	3
`kin_group_structure`	kin_group_structure	integer	0%	6
`mode_of_marriage_transaction`	mode_of_marriage_transaction	integer	3%	4
`bride_price_type`	bride_price_type	integer	3%	2
`ground_for_divorce`	ground_for_divorce	integer	7%	6
`ease_of_divorce`	ease_of_divorce	integer	7%	5
`marriage_arrangement`	marriage_arrangement	integer	7%	8
`gathering_dependence`	gathering_dependence	integer	7%	3
`hunting_dependence`	hunting_dependence	integer	7%	6
`fishing_dependence`	fishing_dependence	integer	37%	5
`animal_husbandry_dependence`	animal_husbandry_dependence	integer	7%	3
`jurisdictional_hierarchy`	jurisdictional_hierarchy	integer	7%	3
`community_integration`	community_integration	integer	30%	3
`settlement_pattern`	settlement_pattern	integer	43%	2
`high_gods`	high_gods	integer	17%	7
`community_residence`	community_residence	integer	7%	8
`norms_of_residence`	norms_of_residence	integer	7%	4
`source`	source	string	0%	1
`source_url`	source_url	string	0%	1
`license`	license	string	0%	1
`data_vintage`	data_vintage	float	0%	1

BRA Global Organized Crime Index BRA-OCINDEX Crime Index

1 rows · 1 table(s) GI-TOC / ENACT 0 1 2 3 ▶

No mapped fields yet — mapping engine has not been run for this dataset

0 Admin 0 — 1 table(s)

BRA Organized Crime Scores 2025 — 1 rows, 35 columns

Extension Fields (35) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	0%	1
`oc_arms_trafficking`	oc_arms_trafficking	numeric	0%	1
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1
`oc_criminal_actors`	oc_criminal_actors	numeric	0%	1
`oc_criminal_markets`	oc_criminal_markets	numeric	0%	1
`oc_criminal_networks`	oc_criminal_networks	numeric	0%	1
`oc_criminality`	oc_criminality	numeric	0%	1
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	numeric	0%	1
`oc_economic_regulatory_capacity`	oc_economic_regulatory_capacity	numeric	0%	1
`oc_extortion_and_protection_racketeering`	oc_extortion_and_protection_racketeering	numeric	0%	1
`oc_fauna_crimes`	oc_fauna_crimes	numeric	0%	1
`oc_financial_crimes`	oc_financial_crimes	numeric	0%	1
`oc_flora_crimes`	oc_flora_crimes	numeric	0%	1
`oc_foreign_actors`	oc_foreign_actors	numeric	0%	1
`oc_government_transparency_and_accountability`	oc_government_transparency_and_accountability	numeric	0%	1
`oc_heroin_trade`	oc_heroin_trade	numeric	0%	1
`oc_human_smuggling`	oc_human_smuggling	numeric	0%	1
`oc_human_trafficking`	oc_human_trafficking	numeric	0%	1
`oc_illicit_trade_in_excisable_goods`	oc_illicit_trade_in_excisable_goods	numeric	0%	1
`oc_international_cooperation`	oc_international_cooperation	numeric	0%	1
`oc_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	0%	1
`oc_law_enforcement`	oc_law_enforcement	numeric	0%	1
`oc_mafia_style_groups`	oc_mafia_style_groups	numeric	0%	1
`oc_national_policies_and_laws`	oc_national_policies_and_laws	numeric	0%	1
`oc_non_renewable_resource_crimes`	oc_non_renewable_resource_crimes	numeric	0%	1
`oc_non_state_actors`	oc_non_state_actors	numeric	0%	1
`oc_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	0%	1
`oc_prevention`	oc_prevention	numeric	0%	1
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1
`oc_resilience`	oc_resilience	numeric	0%	1
`oc_state_embedded_actors`	oc_state_embedded_actors	numeric	0%	1
`oc_synthetic_drug_trade`	oc_synthetic_drug_trade	numeric	0%	1
`oc_territorial_integrity`	oc_territorial_integrity	numeric	0%	1
`oc_trade_in_counterfeit_goods`	oc_trade_in_counterfeit_goods	numeric	0%	1

BRA Google Community Mobility (2020-2022) BRA-GOOGLE-MOBILITY Mobility

27 rows · 1 table(s) Google 0 1 2 3 ▶

BRA OpenFactBook BRA-OPENFACTBOOK Country Profile

17 rows · 17 table(s) OpenFactBook 0 1 2 3 102 SEL 6 CCL 672 ext ▶

Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 17 table(s)

BRA openfactbook - communications — 1 rows, 22 columns

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric	float	SEL	0%	1
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric	float	SEL	0%	1
`internet_country_code_text`	internet_country_code_text	string	SEL+	0%	1
`internet_users_percent_of_population_numeric`	internet_users_percent_of_population_numeric	float	SEL	0%	1
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric	float	SEL	0%	1
`country_code`	country_code	string	SEL	0%	1
`country_name`	country_name	string	SEL	0%	1
`admin_level`	admin_level	string	SEL	0%	1

Extension Fields (14) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1
`broadcast_media_text`	broadcast_media_text	string	0%	1
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1
`source_section`	source_section	string	0%	1
`source_profile_path`	source_profile_path	string	0%	1

BRA openfactbook - economy — 1 rows, 159 columns

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique
`real_gdp_per_capita_real_gdp_per_capita_2024_numeric`	real_gdp_per_capita_real_gdp_per_capita_2024_numeric	float	SEL	0%	1
`gdp_official_exchange_rate_numeric`	gdp_official_exchange_rate_numeric	float	SEL	0%	1
`population_below_poverty_line_numeric`	population_below_poverty_line_numeric	float	SEL	0%	1
`country_code`	country_code	string	SEL	0%	1
`country_name`	country_name	string	SEL	0%	1
`admin_level`	admin_level	string	SEL	0%	1

Extension Fields (153) — supplemental data preserved outside core SEL/CCL schema

BRA openfactbook - energy — 1 rows, 69 columns

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique
`electricity_access_electrification_total_population_numeric`	electricity_access_electrification_total_population_numeric	float	SEL	0%	1
`country_code`	country_code	string	SEL	0%	1
`country_name`	country_name	string	SEL	0%	1
`admin_level`	admin_level	string	SEL	0%	1

Extension Fields (65) — supplemental data preserved outside core SEL/CCL schema

BRA openfactbook - environment — 1 rows, 60 columns

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique
`land_use_agricultural_land_numeric`	land_use_agricultural_land_numeric	float	SEL	0%	1
`land_use_forest_numeric`	land_use_forest_numeric	float	SEL	0%	1
`urbanization_urban_population_numeric`	urbanization_urban_population_numeric	float	SEL	0%	1
`urbanization_rate_of_urbanization_numeric`	urbanization_rate_of_urbanization_numeric	float	SEL	0%	1
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	waste_and_recycling_municipal_solid_waste_generated_annually_numeric	float	SEL	0%	1
`country_code`	country_code	string	SEL	0%	1
`country_name`	country_name	string	SEL	0%	1
`admin_level`	admin_level	string	SEL	0%	1

Extension Fields (52) — supplemental data preserved outside core SEL/CCL schema

BRA openfactbook - ethnic_groups — 1 rows, 9 columns

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique
`ethnic_groups_text`	ethnic_groups_text	string	CCL	0%	1
`country_code`	country_code	string	SEL	0%	1
`country_name`	country_name	string	SEL	0%	1
`admin_level`	admin_level	string	SEL	0%	1

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`nationality_noun_text`	nationality_noun_text	string	0%	1
`nationality_adjective_text`	nationality_adjective_text	string	0%	1
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1
`source_section`	source_section	string	0%	1
`source_profile_path`	source_profile_path	string	0%	1

BRA openfactbook - geography — 1 rows, 67 columns

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique
`area_total_numeric`	area_total_numeric	float	SEL	0%	1
`area_land_numeric`	area_land_numeric	float	SEL	0%	1
`area_water_numeric`	area_water_numeric	float	SEL	0%	1
`land_boundaries_total_numeric`	land_boundaries_total_numeric	float	SEL	0%	1
`coastline_numeric`	coastline_numeric	float	SEL	0%	1
`elevation_highest_point_numeric`	elevation_highest_point_numeric	float	SEL	0%	1
`elevation_lowest_point_numeric`	elevation_lowest_point_numeric	float	SEL	0%	1
`land_use_agricultural_land_numeric`	land_use_agricultural_land_numeric	float	SEL	0%	1
`land_use_forest_numeric`	land_use_forest_numeric	float	SEL	0%	1
`irrigated_land_numeric`	irrigated_land_numeric	float	SEL	0%	1
`country_code`	country_code	string	SEL	0%	1
`country_name`	country_name	string	SEL	0%	1
`admin_level`	admin_level	string	SEL	0%	1

Extension Fields (54) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`location_text`	location_text	string	0%	1
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1
`map_references_text`	map_references_text	string	0%	1
`area_total_text`	area_total_text	string	0%	1
`area_land_text`	area_land_text	string	0%	1
`area_water_text`	area_water_text	string	0%	1
`area_note`	area_note	string	0%	1
`area_comparative_text`	area_comparative_text	string	0%	1
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1
`coastline_text`	coastline_text	string	0%	1
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1
`maritime_claims_contiguous_zone_text`	maritime_claims_contiguous_zone_text	string	0%	1
`maritime_claims_contiguous_zone_numeric`	maritime_claims_contiguous_zone_numeric	float	0%	1
`maritime_claims_exclusive_economic_zone_text`	maritime_claims_exclusive_economic_zone_text	string	0%	1
`maritime_claims_exclusive_economic_zone_numeric`	maritime_claims_exclusive_economic_zone_numeric	float	0%	1
`maritime_claims_continental_shelf_text`	maritime_claims_continental_shelf_text	string	0%	1
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	0%	1
`climate_text`	climate_text	string	0%	1
`terrain_text`	terrain_text	string	0%	1
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1
`natural_resources_text`	natural_resources_text	string	0%	1
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1
`land_use_forest_text`	land_use_forest_text	string	0%	1
`land_use_other_text`	land_use_other_text	string	0%	1
`land_use_other_numeric`	land_use_other_numeric	float	0%	1
`irrigated_land_text`	irrigated_land_text	string	0%	1
`major_lakes_area_sq_km_fresh_water_lake_s_text`	major_lakes_area_sq_km_fresh_water_lake_s_text	string	0%	1
`major_lakes_area_sq_km_fresh_water_lake_s_numeric`	major_lakes_area_sq_km_fresh_water_lake_s_numeric	float	0%	1
`major_lakes_area_sq_km_salt_water_lake_s_text`	major_lakes_area_sq_km_salt_water_lake_s_text	string	0%	1
`major_lakes_area_sq_km_salt_water_lake_s_numeric`	major_lakes_area_sq_km_salt_water_lake_s_numeric	float	0%	1
`major_rivers_by_length_in_km_text`	major_rivers_by_length_in_km_text	string	0%	1
`major_rivers_by_length_in_km_numeric`	major_rivers_by_length_in_km_numeric	float	0%	1
`major_watersheds_area_sq_km_atlantic_ocean_drainage_text`	major_watersheds_area_sq_km_atlantic_ocean_drainage_text	string	0%	1
`major_watersheds_area_sq_km_atlantic_ocean_drainage_numeric`	major_watersheds_area_sq_km_atlantic_ocean_drainage_numeric	float	0%	1
`major_aquifers_text`	major_aquifers_text	string	0%	1
`population_distribution_text`	population_distribution_text	string	0%	1
`natural_hazards_text`	natural_hazards_text	string	0%	1
`geography_note_text`	geography_note_text	string	0%	1
`geography_note_numeric`	geography_note_numeric	float	0%	1
`source_section`	source_section	string	0%	1
`source_profile_path`	source_profile_path	string	0%	1

BRA openfactbook - government — 1 rows, 126 columns

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	country_code	string	SEL	0%	1
`admin_level`	admin_level	string	SEL	0%	1

Extension Fields (124) — supplemental data preserved outside core SEL/CCL schema

BRA openfactbook - introduction — 1 rows, 7 columns

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	country_code	string	SEL	0%	1
`country_name`	country_name	string	SEL	0%	1
`admin_level`	admin_level	string	SEL	0%	1

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`background_text`	background_text	string	0%	1
`background_numeric`	background_numeric	float	0%	1
`source_section`	source_section	string	0%	1
`source_profile_path`	source_profile_path	string	0%	1

BRA openfactbook - languages — 1 rows, 7 columns

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	country_code	string	SEL	0%	1
`country_name`	country_name	string	SEL	0%	1
`admin_level`	admin_level	string	SEL	0%	1

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`languages_languages_text`	languages_languages_text	string	0%	1
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1
`source_section`	source_section	string	0%	1
`source_profile_path`	source_profile_path	string	0%	1

BRA openfactbook - migration — 1 rows, 13 columns

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	CCL	0%	1
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	CCL	0%	1
`country_code`	country_code	string	SEL	0%	1
`country_name`	country_name	string	SEL	0%	1
`admin_level`	admin_level	string	SEL	0%	1

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1
`trafficking_in_persons_tier_rating_text`	trafficking_in_persons_tier_rating_text	string	0%	1
`trafficking_in_persons_tier_rating_numeric`	trafficking_in_persons_tier_rating_numeric	float	0%	1
`source_section`	source_section	string	0%	1
`source_profile_path`	source_profile_path	string	0%	1

BRA openfactbook - military_and_security — 1 rows, 25 columns

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	country_code	string	SEL	0%	1
`country_name`	country_name	string	SEL	0%	1
`admin_level`	admin_level	string	SEL	0%	1

Extension Fields (22) — supplemental data preserved outside core SEL/CCL schema

BRA openfactbook - people_and_society — 1 rows, 144 columns

Standards-Aligned Fields (29)

Field Name	Label	Type	Schema	Nulls	Unique
`population_total_numeric`	population_total_numeric	float	SEL	0%	1
`population_male_numeric`	population_male_numeric	float	SEL	0%	1
`population_female_numeric`	population_female_numeric	float	SEL	0%	1
`age_structure_0_14_years_numeric`	age_structure_0_14_years_numeric	float	SEL	0%	1
`age_structure_15_64_years_numeric`	age_structure_15_64_years_numeric	float	SEL	0%	1
`age_structure_65_years_and_over_numeric`	age_structure_65_years_and_over_numeric	float	SEL	0%	1
`dependency_ratios_total_dependency_ratio_numeric`	dependency_ratios_total_dependency_ratio_numeric	float	SEL	0%	1
`dependency_ratios_youth_dependency_ratio_numeric`	dependency_ratios_youth_dependency_ratio_numeric	float	SEL	0%	1
`dependency_ratios_elderly_dependency_ratio_numeric`	dependency_ratios_elderly_dependency_ratio_numeric	float	SEL	0%	1
`median_age_total_numeric`	median_age_total_numeric	float	SEL	0%	1
`population_growth_rate_numeric`	population_growth_rate_numeric	float	SEL	0%	1
`birth_rate_numeric`	birth_rate_numeric	float	SEL	0%	1
`death_rate_numeric`	death_rate_numeric	float	SEL	0%	1
`net_migration_rate_numeric`	net_migration_rate_numeric	float	SEL	0%	1
`urbanization_urban_population_numeric`	urbanization_urban_population_numeric	float	SEL	0%	1
`urbanization_rate_of_urbanization_numeric`	urbanization_rate_of_urbanization_numeric	float	SEL	0%	1
`sex_ratio_at_birth_numeric`	sex_ratio_at_birth_numeric	float	SEL	0%	1
`sex_ratio_total_population_numeric`	sex_ratio_total_population_numeric	float	SEL	0%	1
`maternal_mortality_ratio_numeric`	maternal_mortality_ratio_numeric	float	SEL	0%	1
`infant_mortality_rate_total_numeric`	infant_mortality_rate_total_numeric	float	SEL	0%	1
`life_expectancy_at_birth_total_population_numeric`	life_expectancy_at_birth_total_population_numeric	float	SEL	0%	1
`total_fertility_rate_numeric`	total_fertility_rate_numeric	float	SEL	0%	1
`gross_reproduction_rate_numeric`	gross_reproduction_rate_numeric	float	SEL	0%	1
`physician_density_numeric`	physician_density_numeric	float	SEL	0%	1
`hospital_bed_density_numeric`	hospital_bed_density_numeric	float	SEL	0%	1
`literacy_total_population_numeric`	literacy_total_population_numeric	float	SEL	0%	1
`country_code`	country_code	string	SEL	0%	1
`country_name`	country_name	string	SEL	0%	1
`admin_level`	admin_level	string	SEL	0%	1

Extension Fields (115) — supplemental data preserved outside core SEL/CCL schema

BRA openfactbook - religions — 1 rows, 7 columns

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique
`religions_text`	religions_text	string	CCL	0%	1
`country_code`	country_code	string	SEL	0%	1
`country_name`	country_name	string	SEL	0%	1
`admin_level`	admin_level	string	SEL	0%	1
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-
`composition_ethnicity_primary_label_synth`	mixed	string	CCL	0%	-

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`religions_numeric`	religions_numeric	float	0%	1
`source_section`	source_section	string	0%	1
`source_profile_path`	source_profile_path	string	0%	1

Pending (14) — awaiting mapping

Field Name	Label	Type	Nulls	Unique
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-
`composition_religion_evangelical_pct_synth`	Evangelical	numeric	0%	-
`composition_religion_none_pct_synth`	none	numeric	0%	-
`composition_religion_spirtism_esp_rita_pct_synth`	Spirtism (Espírita)	numeric	0%	-
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-
`composition_religion_umbanda_and_candombl_pct_synth`	Umbanda and Candomblé	numeric	0%	-
`composition_religion_indigenous_religions_pct_synth`	Indigenous religions	numeric	0%	-
`composition_religion_undeclared_pct_synth`	undeclared	numeric	0%	-
`composition_ethnicity_mixed_pct_synth`	mixed	numeric	0%	-
`composition_ethnicity_white_pct_synth`	White	numeric	0%	-
`composition_ethnicity_black_pct_synth`	Black	numeric	0%	-
`composition_ethnicity_indigenous_pct_synth`	Indigenous	numeric	0%	-
`composition_ethnicity_asian_pct_synth`	Asian	numeric	0%	-
`composition_ethnicity_primary_share_pct_synth`	mixed	numeric	0%	-

BRA openfactbook - space — 1 rows, 13 columns

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	country_code	string	SEL	0%	1
`country_name`	country_name	string	SEL	0%	1
`admin_level`	admin_level	string	SEL	0%	1

Extension Fields (10) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`space_agency_agencies_text`	space_agency_agencies_text	string	0%	1
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1
`space_launch_site_s_text`	space_launch_site_s_text	string	0%	1
`space_launch_site_s_numeric`	space_launch_site_s_numeric	float	0%	1
`space_program_overview_text`	space_program_overview_text	string	0%	1
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1
`source_section`	source_section	string	0%	1
`source_profile_path`	source_profile_path	string	0%	1

BRA openfactbook - terrorism — 1 rows, 6 columns

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	country_code	string	SEL	0%	1
`country_name`	country_name	string	SEL	0%	1
`admin_level`	admin_level	string	SEL	0%	1

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`terrorist_group_s_text`	terrorist_group_s_text	string	0%	1
`source_section`	source_section	string	0%	1
`source_profile_path`	source_profile_path	string	0%	1

BRA openfactbook - transnational_issues — 1 rows, 7 columns

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique
`country_code`	country_code	string	SEL	0%	1
`country_name`	country_name	string	SEL	0%	1
`admin_level`	admin_level	string	SEL	0%	1

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`illicit_drugs_usg_identification_text`	illicit_drugs_usg_identification_text	string	0%	1
`illicit_drugs_usg_identification_numeric`	illicit_drugs_usg_identification_numeric	float	0%	1
`source_section`	source_section	string	0%	1
`source_profile_path`	source_profile_path	string	0%	1

BRA openfactbook - transportation — 1 rows, 37 columns

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique
`civil_aircraft_registration_country_code_prefix_text`	civil_aircraft_registration_country_code_prefix_text	string	SEL+	0%	1
`airports_numeric`	airports_numeric	float	SEL	0%	1
`country_code`	country_code	string	SEL	0%	1
`country_name`	country_name	string	SEL	0%	1
`admin_level`	admin_level	string	SEL	0%	1

Extension Fields (32) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique
`airports_text`	airports_text	string	0%	1
`heliports_text`	heliports_text	string	0%	1
`heliports_numeric`	heliports_numeric	float	0%	1
`railways_total_text`	railways_total_text	string	0%	1
`railways_total_numeric`	railways_total_numeric	float	0%	1
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1
`railways_narrow_gauge_text`	railways_narrow_gauge_text	string	0%	1
`railways_narrow_gauge_numeric`	railways_narrow_gauge_numeric	float	0%	1
`railways_broad_gauge_text`	railways_broad_gauge_text	string	0%	1
`railways_broad_gauge_numeric`	railways_broad_gauge_numeric	float	0%	1
`railways_dual_gauge_text`	railways_dual_gauge_text	string	0%	1
`railways_dual_gauge_numeric`	railways_dual_gauge_numeric	float	0%	1
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1
`ports_total_ports_text`	ports_total_ports_text	string	0%	1
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1
`ports_large_text`	ports_large_text	float	0%	1
`ports_large_numeric`	ports_large_numeric	float	0%	1
`ports_medium_text`	ports_medium_text	float	0%	1
`ports_medium_numeric`	ports_medium_numeric	float	0%	1
`ports_small_text`	ports_small_text	float	0%	1
`ports_small_numeric`	ports_small_numeric	float	0%	1
`ports_very_small_text`	ports_very_small_text	float	0%	1
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1
`ports_ports_with_oil_terminals_text`	ports_ports_with_oil_terminals_text	float	0%	1
`ports_ports_with_oil_terminals_numeric`	ports_ports_with_oil_terminals_numeric	float	0%	1
`ports_key_ports_text`	ports_key_ports_text	string	0%	1
`source_section`	source_section	string	0%	1
`source_profile_path`	source_profile_path	string	0%	1

HERA · Human Entity Reference Atlas by Masego Inc

SEL (154 mappings)

CCL (97 mappings)

Preview

Download Options

Field Name	Label	Type	Nulls	Unique
`economic_overview_text`	economic_overview_text	string	0%	1
`economic_overview_numeric`	economic_overview_numeric	float	0%	1
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text	string	0%	1
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric`	real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric	float	0%	1
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text	string	0%	1
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric	float	0%	1
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text	string	0%	1
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric`	real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric	float	0%	1
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	0%	1
`real_gdp_growth_rate_real_gdp_growth_rate_2024_text`	real_gdp_growth_rate_real_gdp_growth_rate_2024_text	string	0%	1
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric	float	0%	1
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	real_gdp_growth_rate_real_gdp_growth_rate_2023_text	string	0%	1
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric	float	0%	1
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	real_gdp_growth_rate_real_gdp_growth_rate_2022_text	string	0%	1
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric	float	0%	1
`real_gdp_growth_rate_note`	real_gdp_growth_rate_note	string	0%	1
`real_gdp_per_capita_real_gdp_per_capita_2024_text`	real_gdp_per_capita_real_gdp_per_capita_2024_text	string	0%	1
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	real_gdp_per_capita_real_gdp_per_capita_2023_text	string	0%	1
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	real_gdp_per_capita_real_gdp_per_capita_2023_numeric	float	0%	1
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	real_gdp_per_capita_real_gdp_per_capita_2022_text	string	0%	1
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	real_gdp_per_capita_real_gdp_per_capita_2022_numeric	float	0%	1
`real_gdp_per_capita_note`	real_gdp_per_capita_note	string	0%	1
`gdp_official_exchange_rate_text`	gdp_official_exchange_rate_text	string	0%	1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text	string	0%	1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric	float	0%	1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text	string	0%	1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric	float	0%	1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text	string	0%	1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric	float	0%	1
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1
`gdp_composition_by_sector_of_origin_agriculture_text`	gdp_composition_by_sector_of_origin_agriculture_text	string	0%	1
`gdp_composition_by_sector_of_origin_agriculture_numeric`	gdp_composition_by_sector_of_origin_agriculture_numeric	float	0%	1
`gdp_composition_by_sector_of_origin_industry_text`	gdp_composition_by_sector_of_origin_industry_text	string	0%	1
`gdp_composition_by_sector_of_origin_industry_numeric`	gdp_composition_by_sector_of_origin_industry_numeric	float	0%	1
`gdp_composition_by_sector_of_origin_services_text`	gdp_composition_by_sector_of_origin_services_text	string	0%	1
`gdp_composition_by_sector_of_origin_services_numeric`	gdp_composition_by_sector_of_origin_services_numeric	float	0%	1
`gdp_composition_by_sector_of_origin_note`	gdp_composition_by_sector_of_origin_note	string	0%	1
`gdp_composition_by_end_use_household_consumption_text`	gdp_composition_by_end_use_household_consumption_text	string	0%	1
`gdp_composition_by_end_use_household_consumption_numeric`	gdp_composition_by_end_use_household_consumption_numeric	float	0%	1
`gdp_composition_by_end_use_government_consumption_text`	gdp_composition_by_end_use_government_consumption_text	string	0%	1
`gdp_composition_by_end_use_government_consumption_numeric`	gdp_composition_by_end_use_government_consumption_numeric	float	0%	1
`gdp_composition_by_end_use_investment_in_fixed_capital_text`	gdp_composition_by_end_use_investment_in_fixed_capital_text	string	0%	1
`gdp_composition_by_end_use_investment_in_fixed_capital_numeric`	gdp_composition_by_end_use_investment_in_fixed_capital_numeric	float	0%	1
`gdp_composition_by_end_use_investment_in_inventories_text`	gdp_composition_by_end_use_investment_in_inventories_text	string	0%	1
`gdp_composition_by_end_use_investment_in_inventories_numeric`	gdp_composition_by_end_use_investment_in_inventories_numeric	float	0%	1
`gdp_composition_by_end_use_exports_of_goods_and_services_text`	gdp_composition_by_end_use_exports_of_goods_and_services_text	string	0%	1
`gdp_composition_by_end_use_exports_of_goods_and_services_numeric`	gdp_composition_by_end_use_exports_of_goods_and_services_numeric	float	0%	1
`gdp_composition_by_end_use_imports_of_goods_and_services_text`	gdp_composition_by_end_use_imports_of_goods_and_services_text	string	0%	1
`gdp_composition_by_end_use_imports_of_goods_and_services_numeric`	gdp_composition_by_end_use_imports_of_goods_and_services_numeric	float	0%	1
`gdp_composition_by_end_use_note`	gdp_composition_by_end_use_note	string	0%	1
`agricultural_products_text`	agricultural_products_text	string	0%	1
`agricultural_products_numeric`	agricultural_products_numeric	float	0%	1
`industries_text`	industries_text	string	0%	1
`industrial_production_growth_rate_text`	industrial_production_growth_rate_text	string	0%	1
`industrial_production_growth_rate_numeric`	industrial_production_growth_rate_numeric	float	0%	1
`labor_force_text`	labor_force_text	string	0%	1
`labor_force_numeric`	labor_force_numeric	float	0%	1
`unemployment_rate_unemployment_rate_2024_text`	unemployment_rate_unemployment_rate_2024_text	string	0%	1
`unemployment_rate_unemployment_rate_2024_numeric`	unemployment_rate_unemployment_rate_2024_numeric	float	0%	1
`unemployment_rate_unemployment_rate_2023_text`	unemployment_rate_unemployment_rate_2023_text	string	0%	1
`unemployment_rate_unemployment_rate_2023_numeric`	unemployment_rate_unemployment_rate_2023_numeric	float	0%	1
`unemployment_rate_unemployment_rate_2022_text`	unemployment_rate_unemployment_rate_2022_text	string	0%	1
`unemployment_rate_unemployment_rate_2022_numeric`	unemployment_rate_unemployment_rate_2022_numeric	float	0%	1
`unemployment_rate_note`	unemployment_rate_note	string	0%	1
`youth_unemployment_rate_ages_15_24_total_text`	youth_unemployment_rate_ages_15_24_total_text	string	0%	1
`youth_unemployment_rate_ages_15_24_total_numeric`	youth_unemployment_rate_ages_15_24_total_numeric	float	0%	1
`youth_unemployment_rate_ages_15_24_male_text`	youth_unemployment_rate_ages_15_24_male_text	string	0%	1
`youth_unemployment_rate_ages_15_24_male_numeric`	youth_unemployment_rate_ages_15_24_male_numeric	float	0%	1
`youth_unemployment_rate_ages_15_24_female_text`	youth_unemployment_rate_ages_15_24_female_text	string	0%	1
`youth_unemployment_rate_ages_15_24_female_numeric`	youth_unemployment_rate_ages_15_24_female_numeric	float	0%	1
`youth_unemployment_rate_ages_15_24_note`	youth_unemployment_rate_ages_15_24_note	string	0%	1
`population_below_poverty_line_text`	population_below_poverty_line_text	string	0%	1
`gini_index_coefficient_distribution_of_family_income_gini_index_coefficient_distribution_of_family_income_2023_text`	gini_index_coefficient_distribution_of_family_income_gini_index_coefficient_distribution_of_family_income_2023_text	string	0%	1
`gini_index_coefficient_distribution_of_family_income_gini_index_coefficient_distribution_of_family_income_2023_numeric`	gini_index_coefficient_distribution_of_family_income_gini_index_coefficient_distribution_of_family_income_2023_numeric	float	0%	1
`gini_index_coefficient_distribution_of_family_income_note`	gini_index_coefficient_distribution_of_family_income_note	string	0%	1
`average_household_expenditures_on_food_text`	average_household_expenditures_on_food_text	string	0%	1
`average_household_expenditures_on_food_numeric`	average_household_expenditures_on_food_numeric	float	0%	1
`average_household_expenditures_on_alcohol_and_tobacco_text`	average_household_expenditures_on_alcohol_and_tobacco_text	string	0%	1
`average_household_expenditures_on_alcohol_and_tobacco_numeric`	average_household_expenditures_on_alcohol_and_tobacco_numeric	float	0%	1
`household_income_or_consumption_by_percentage_share_lowest_10_text`	household_income_or_consumption_by_percentage_share_lowest_10_text	string	0%	1
`household_income_or_consumption_by_percentage_share_lowest_10_numeric`	household_income_or_consumption_by_percentage_share_lowest_10_numeric	float	0%	1
`household_income_or_consumption_by_percentage_share_highest_10_text`	household_income_or_consumption_by_percentage_share_highest_10_text	string	0%	1
`household_income_or_consumption_by_percentage_share_highest_10_numeric`	household_income_or_consumption_by_percentage_share_highest_10_numeric	float	0%	1
`household_income_or_consumption_by_percentage_share_note`	household_income_or_consumption_by_percentage_share_note	string	0%	1
`remittances_remittances_2024_text`	remittances_remittances_2024_text	string	0%	1
`remittances_remittances_2024_numeric`	remittances_remittances_2024_numeric	float	0%	1
`remittances_remittances_2023_text`	remittances_remittances_2023_text	string	0%	1
`remittances_remittances_2023_numeric`	remittances_remittances_2023_numeric	float	0%	1
`remittances_remittances_2022_text`	remittances_remittances_2022_text	string	0%	1
`remittances_remittances_2022_numeric`	remittances_remittances_2022_numeric	float	0%	1
`remittances_note`	remittances_note	string	0%	1
`budget_revenues_text`	budget_revenues_text	string	0%	1
`budget_revenues_numeric`	budget_revenues_numeric	float	0%	1
`budget_expenditures_text`	budget_expenditures_text	string	0%	1
`budget_expenditures_numeric`	budget_expenditures_numeric	float	0%	1
`budget_note`	budget_note	string	0%	1
`public_debt_public_debt_2023_text`	public_debt_public_debt_2023_text	string	0%	1
`public_debt_public_debt_2023_numeric`	public_debt_public_debt_2023_numeric	float	0%	1
`public_debt_note`	public_debt_note	string	0%	1
`taxes_and_other_revenues_text`	taxes_and_other_revenues_text	string	0%	1
`taxes_and_other_revenues_numeric`	taxes_and_other_revenues_numeric	float	0%	1
`current_account_balance_current_account_balance_2024_text`	current_account_balance_current_account_balance_2024_text	string	0%	1
`current_account_balance_current_account_balance_2024_numeric`	current_account_balance_current_account_balance_2024_numeric	float	0%	1
`current_account_balance_current_account_balance_2023_text`	current_account_balance_current_account_balance_2023_text	string	0%	1
`current_account_balance_current_account_balance_2023_numeric`	current_account_balance_current_account_balance_2023_numeric	float	0%	1
`current_account_balance_current_account_balance_2022_text`	current_account_balance_current_account_balance_2022_text	string	0%	1
`current_account_balance_current_account_balance_2022_numeric`	current_account_balance_current_account_balance_2022_numeric	float	0%	1
`current_account_balance_note`	current_account_balance_note	string	0%	1
`exports_exports_2024_text`	exports_exports_2024_text	string	0%	1
`exports_exports_2024_numeric`	exports_exports_2024_numeric	float	0%	1
`exports_exports_2023_text`	exports_exports_2023_text	string	0%	1
`exports_exports_2023_numeric`	exports_exports_2023_numeric	float	0%	1
`exports_exports_2022_text`	exports_exports_2022_text	string	0%	1
`exports_exports_2022_numeric`	exports_exports_2022_numeric	float	0%	1
`exports_note`	exports_note	string	0%	1
`exports_partners_text`	exports_partners_text	string	0%	1
`exports_partners_numeric`	exports_partners_numeric	float	0%	1
`exports_commodities_text`	exports_commodities_text	string	0%	1
`exports_commodities_numeric`	exports_commodities_numeric	float	0%	1
`imports_imports_2024_text`	imports_imports_2024_text	string	0%	1
`imports_imports_2024_numeric`	imports_imports_2024_numeric	float	0%	1
`imports_imports_2023_text`	imports_imports_2023_text	string	0%	1
`imports_imports_2023_numeric`	imports_imports_2023_numeric	float	0%	1
`imports_imports_2022_text`	imports_imports_2022_text	string	0%	1
`imports_imports_2022_numeric`	imports_imports_2022_numeric	float	0%	1
`imports_note`	imports_note	string	0%	1
`imports_partners_text`	imports_partners_text	string	0%	1
`imports_partners_numeric`	imports_partners_numeric	float	0%	1
`imports_commodities_text`	imports_commodities_text	string	0%	1
`imports_commodities_numeric`	imports_commodities_numeric	float	0%	1
`reserves_of_foreign_exchange_and_gold_reserves_of_foreign_exchange_and_gold_2024_text`	reserves_of_foreign_exchange_and_gold_reserves_of_foreign_exchange_and_gold_2024_text	string	0%	1
`reserves_of_foreign_exchange_and_gold_reserves_of_foreign_exchange_and_gold_2024_numeric`	reserves_of_foreign_exchange_and_gold_reserves_of_foreign_exchange_and_gold_2024_numeric	float	0%	1
`reserves_of_foreign_exchange_and_gold_reserves_of_foreign_exchange_and_gold_2023_text`	reserves_of_foreign_exchange_and_gold_reserves_of_foreign_exchange_and_gold_2023_text	string	0%	1
`reserves_of_foreign_exchange_and_gold_reserves_of_foreign_exchange_and_gold_2023_numeric`	reserves_of_foreign_exchange_and_gold_reserves_of_foreign_exchange_and_gold_2023_numeric	float	0%	1
`reserves_of_foreign_exchange_and_gold_reserves_of_foreign_exchange_and_gold_2022_text`	reserves_of_foreign_exchange_and_gold_reserves_of_foreign_exchange_and_gold_2022_text	string	0%	1
`reserves_of_foreign_exchange_and_gold_reserves_of_foreign_exchange_and_gold_2022_numeric`	reserves_of_foreign_exchange_and_gold_reserves_of_foreign_exchange_and_gold_2022_numeric	float	0%	1
`reserves_of_foreign_exchange_and_gold_note`	reserves_of_foreign_exchange_and_gold_note	string	0%	1
`debt_external_debt_external_2023_text`	debt_external_debt_external_2023_text	string	0%	1
`debt_external_debt_external_2023_numeric`	debt_external_debt_external_2023_numeric	float	0%	1
`debt_external_note`	debt_external_note	string	0%	1
`exchange_rates_currency_text`	exchange_rates_currency_text	string	0%	1
`exchange_rates_exchange_rates_2024_text`	exchange_rates_exchange_rates_2024_text	string	0%	1
`exchange_rates_exchange_rates_2024_numeric`	exchange_rates_exchange_rates_2024_numeric	float	0%	1
`exchange_rates_exchange_rates_2023_text`	exchange_rates_exchange_rates_2023_text	string	0%	1
`exchange_rates_exchange_rates_2023_numeric`	exchange_rates_exchange_rates_2023_numeric	float	0%	1
`exchange_rates_exchange_rates_2022_text`	exchange_rates_exchange_rates_2022_text	string	0%	1
`exchange_rates_exchange_rates_2022_numeric`	exchange_rates_exchange_rates_2022_numeric	float	0%	1
`exchange_rates_exchange_rates_2021_text`	exchange_rates_exchange_rates_2021_text	string	0%	1
`exchange_rates_exchange_rates_2021_numeric`	exchange_rates_exchange_rates_2021_numeric	float	0%	1
`exchange_rates_exchange_rates_2020_text`	exchange_rates_exchange_rates_2020_text	string	0%	1
`exchange_rates_exchange_rates_2020_numeric`	exchange_rates_exchange_rates_2020_numeric	float	0%	1
`source_section`	source_section	string	0%	1
`source_profile_path`	source_profile_path	string	0%	1

Field Name	Label	Type	Nulls	Unique
`environmental_issues_text`	environmental_issues_text	string	0%	1
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1
`international_environmental_agreements_party_to_numeric`	international_environmental_agreements_party_to_numeric	float	0%	1
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1
`climate_text`	climate_text	string	0%	1
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1
`land_use_forest_text`	land_use_forest_text	string	0%	1
`land_use_other_text`	land_use_other_text	string	0%	1
`land_use_other_numeric`	land_use_other_numeric	float	0%	1
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric	float	0%	1
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric	float	0%	1
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1
`carbon_dioxide_emissions_from_consumed_natural_gas_numeric`	carbon_dioxide_emissions_from_consumed_natural_gas_numeric	float	0%	1
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1
`methane_emissions_agriculture_numeric`	methane_emissions_agriculture_numeric	float	0%	1
`methane_emissions_waste_text`	methane_emissions_waste_text	string	0%	1
`methane_emissions_waste_numeric`	methane_emissions_waste_numeric	float	0%	1
`methane_emissions_other_text`	methane_emissions_other_text	string	0%	1
`methane_emissions_other_numeric`	methane_emissions_other_numeric	float	0%	1
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1
`waste_and_recycling_percent_of_municipal_solid_waste_recycled_text`	waste_and_recycling_percent_of_municipal_solid_waste_recycled_text	string	0%	1
`waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric`	waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric	float	0%	1
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1
`total_water_withdrawal_municipal_numeric`	total_water_withdrawal_municipal_numeric	float	0%	1
`total_water_withdrawal_industrial_text`	total_water_withdrawal_industrial_text	string	0%	1
`total_water_withdrawal_industrial_numeric`	total_water_withdrawal_industrial_numeric	float	0%	1
`total_water_withdrawal_agricultural_text`	total_water_withdrawal_agricultural_text	string	0%	1
`total_water_withdrawal_agricultural_numeric`	total_water_withdrawal_agricultural_numeric	float	0%	1
`total_renewable_water_resources_text`	total_renewable_water_resources_text	string	0%	1
`total_renewable_water_resources_numeric`	total_renewable_water_resources_numeric	float	0%	1
`geoparks_total_global_geoparks_and_regional_networks_text`	geoparks_total_global_geoparks_and_regional_networks_text	float	0%	1
`geoparks_total_global_geoparks_and_regional_networks_numeric`	geoparks_total_global_geoparks_and_regional_networks_numeric	float	0%	1
`geoparks_global_geoparks_and_regional_networks_text`	geoparks_global_geoparks_and_regional_networks_text	string	0%	1
`geoparks_global_geoparks_and_regional_networks_numeric`	geoparks_global_geoparks_and_regional_networks_numeric	float	0%	1
`source_section`	source_section	string	0%	1
`source_profile_path`	source_profile_path	string	0%	1

Field Name	Label	Type	Nulls	Unique
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1
`country_name_etymology_text`	country_name_etymology_text	string	0%	1
`government_type_text`	government_type_text	string	0%	1
`capital_name_text`	capital_name_text	string	0%	1
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1
`capital_time_difference_text`	capital_time_difference_text	string	0%	1
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1
`capital_time_zone_note_text`	capital_time_zone_note_text	string	0%	1
`capital_etymology_text`	capital_etymology_text	string	0%	1
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1
`administrative_divisions_text`	administrative_divisions_text	string	0%	1
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1
`legal_system_text`	legal_system_text	string	0%	1
`constitution_history_text`	constitution_history_text	string	0%	1
`constitution_history_numeric`	constitution_history_numeric	float	0%	1
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1
`citizenship_citizenship_by_birth_text`	citizenship_citizenship_by_birth_text	string	0%	1
`citizenship_citizenship_by_descent_only_text`	citizenship_citizenship_by_descent_only_text	string	0%	1
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1
`suffrage_text`	suffrage_text	string	0%	1
`suffrage_numeric`	suffrage_numeric	float	0%	1
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1
`executive_branch_head_of_government_text`	executive_branch_head_of_government_text	string	0%	1
`executive_branch_head_of_government_numeric`	executive_branch_head_of_government_numeric	float	0%	1
`executive_branch_cabinet_text`	executive_branch_cabinet_text	string	0%	1
`executive_branch_election_appointment_process_text`	executive_branch_election_appointment_process_text	string	0%	1
`executive_branch_election_appointment_process_numeric`	executive_branch_election_appointment_process_numeric	float	0%	1
`executive_branch_most_recent_election_date_text`	executive_branch_most_recent_election_date_text	string	0%	1
`executive_branch_most_recent_election_date_numeric`	executive_branch_most_recent_election_date_numeric	float	0%	1
`executive_branch_election_results_text`	executive_branch_election_results_text	string	0%	1
`executive_branch_election_results_numeric`	executive_branch_election_results_numeric	float	0%	1
`executive_branch_expected_date_of_next_election_text`	executive_branch_expected_date_of_next_election_text	string	0%	1
`executive_branch_expected_date_of_next_election_numeric`	executive_branch_expected_date_of_next_election_numeric	float	0%	1
`executive_branch_note`	executive_branch_note	string	0%	1
`legislative_branch_legislature_name_text`	legislative_branch_legislature_name_text	string	0%	1
`legislative_branch_legislative_structure_text`	legislative_branch_legislative_structure_text	string	0%	1
`legislative_branch_lower_chamber_chamber_name_text`	legislative_branch_lower_chamber_chamber_name_text	string	0%	1
`legislative_branch_lower_chamber_number_of_seats_text`	legislative_branch_lower_chamber_number_of_seats_text	string	0%	1
`legislative_branch_lower_chamber_number_of_seats_numeric`	legislative_branch_lower_chamber_number_of_seats_numeric	float	0%	1
`legislative_branch_lower_chamber_electoral_system_text`	legislative_branch_lower_chamber_electoral_system_text	string	0%	1
`legislative_branch_lower_chamber_scope_of_elections_text`	legislative_branch_lower_chamber_scope_of_elections_text	string	0%	1
`legislative_branch_lower_chamber_term_in_office_text`	legislative_branch_lower_chamber_term_in_office_text	string	0%	1
`legislative_branch_lower_chamber_term_in_office_numeric`	legislative_branch_lower_chamber_term_in_office_numeric	float	0%	1
`legislative_branch_lower_chamber_most_recent_election_date_text`	legislative_branch_lower_chamber_most_recent_election_date_text	string	0%	1
`legislative_branch_lower_chamber_most_recent_election_date_numeric`	legislative_branch_lower_chamber_most_recent_election_date_numeric	float	0%	1
`legislative_branch_lower_chamber_parties_elected_and_seats_per_party_text`	legislative_branch_lower_chamber_parties_elected_and_seats_per_party_text	string	0%	1
`legislative_branch_lower_chamber_parties_elected_and_seats_per_party_numeric`	legislative_branch_lower_chamber_parties_elected_and_seats_per_party_numeric	float	0%	1
`legislative_branch_lower_chamber_percentage_of_women_in_chamber_text`	legislative_branch_lower_chamber_percentage_of_women_in_chamber_text	string	0%	1
`legislative_branch_lower_chamber_percentage_of_women_in_chamber_numeric`	legislative_branch_lower_chamber_percentage_of_women_in_chamber_numeric	float	0%	1
`legislative_branch_lower_chamber_expected_date_of_next_election_text`	legislative_branch_lower_chamber_expected_date_of_next_election_text	string	0%	1
`legislative_branch_lower_chamber_expected_date_of_next_election_numeric`	legislative_branch_lower_chamber_expected_date_of_next_election_numeric	float	0%	1
`legislative_branch_upper_chamber_chamber_name_text`	legislative_branch_upper_chamber_chamber_name_text	string	0%	1
`legislative_branch_upper_chamber_number_of_seats_text`	legislative_branch_upper_chamber_number_of_seats_text	string	0%	1
`legislative_branch_upper_chamber_number_of_seats_numeric`	legislative_branch_upper_chamber_number_of_seats_numeric	float	0%	1
`legislative_branch_upper_chamber_electoral_system_text`	legislative_branch_upper_chamber_electoral_system_text	string	0%	1
`legislative_branch_upper_chamber_scope_of_elections_text`	legislative_branch_upper_chamber_scope_of_elections_text	string	0%	1
`legislative_branch_upper_chamber_term_in_office_text`	legislative_branch_upper_chamber_term_in_office_text	string	0%	1
`legislative_branch_upper_chamber_term_in_office_numeric`	legislative_branch_upper_chamber_term_in_office_numeric	float	0%	1
`legislative_branch_upper_chamber_most_recent_election_date_text`	legislative_branch_upper_chamber_most_recent_election_date_text	string	0%	1
`legislative_branch_upper_chamber_most_recent_election_date_numeric`	legislative_branch_upper_chamber_most_recent_election_date_numeric	float	0%	1
`legislative_branch_upper_chamber_parties_elected_and_seats_per_party_text`	legislative_branch_upper_chamber_parties_elected_and_seats_per_party_text	string	0%	1
`legislative_branch_upper_chamber_parties_elected_and_seats_per_party_numeric`	legislative_branch_upper_chamber_parties_elected_and_seats_per_party_numeric	float	0%	1
`legislative_branch_upper_chamber_percentage_of_women_in_chamber_text`	legislative_branch_upper_chamber_percentage_of_women_in_chamber_text	string	0%	1
`legislative_branch_upper_chamber_percentage_of_women_in_chamber_numeric`	legislative_branch_upper_chamber_percentage_of_women_in_chamber_numeric	float	0%	1
`legislative_branch_upper_chamber_expected_date_of_next_election_text`	legislative_branch_upper_chamber_expected_date_of_next_election_text	string	0%	1
`legislative_branch_upper_chamber_expected_date_of_next_election_numeric`	legislative_branch_upper_chamber_expected_date_of_next_election_numeric	float	0%	1
`judicial_branch_highest_court_s_text`	judicial_branch_highest_court_s_text	string	0%	1
`judicial_branch_highest_court_s_numeric`	judicial_branch_highest_court_s_numeric	float	0%	1
`judicial_branch_judge_selection_and_term_of_office_text`	judicial_branch_judge_selection_and_term_of_office_text	string	0%	1
`judicial_branch_judge_selection_and_term_of_office_numeric`	judicial_branch_judge_selection_and_term_of_office_numeric	float	0%	1
`judicial_branch_subordinate_courts_text`	judicial_branch_subordinate_courts_text	string	0%	1
`political_parties_text`	political_parties_text	string	0%	1
`political_parties_numeric`	political_parties_numeric	float	0%	1
`diplomatic_representation_in_the_us_chief_of_mission_text`	diplomatic_representation_in_the_us_chief_of_mission_text	string	0%	1
`diplomatic_representation_in_the_us_chief_of_mission_numeric`	diplomatic_representation_in_the_us_chief_of_mission_numeric	float	0%	1
`diplomatic_representation_in_the_us_chancery_text`	diplomatic_representation_in_the_us_chancery_text	string	0%	1
`diplomatic_representation_in_the_us_chancery_numeric`	diplomatic_representation_in_the_us_chancery_numeric	float	0%	1
`diplomatic_representation_in_the_us_telephone_text`	diplomatic_representation_in_the_us_telephone_text	string	0%	1
`diplomatic_representation_in_the_us_telephone_numeric`	diplomatic_representation_in_the_us_telephone_numeric	float	0%	1
`diplomatic_representation_in_the_us_fax_text`	diplomatic_representation_in_the_us_fax_text	string	0%	1
`diplomatic_representation_in_the_us_fax_numeric`	diplomatic_representation_in_the_us_fax_numeric	float	0%	1
`diplomatic_representation_in_the_us_email_address_and_website_text`	diplomatic_representation_in_the_us_email_address_and_website_text	string	0%	1
`diplomatic_representation_in_the_us_consulate_s_general_text`	diplomatic_representation_in_the_us_consulate_s_general_text	string	0%	1
`diplomatic_representation_from_the_us_chief_of_mission_text`	diplomatic_representation_from_the_us_chief_of_mission_text	string	0%	1
`diplomatic_representation_from_the_us_chief_of_mission_numeric`	diplomatic_representation_from_the_us_chief_of_mission_numeric	float	0%	1
`diplomatic_representation_from_the_us_embassy_text`	diplomatic_representation_from_the_us_embassy_text	string	0%	1
`diplomatic_representation_from_the_us_embassy_numeric`	diplomatic_representation_from_the_us_embassy_numeric	float	0%	1
`diplomatic_representation_from_the_us_mailing_address_text`	diplomatic_representation_from_the_us_mailing_address_text	string	0%	1
`diplomatic_representation_from_the_us_mailing_address_numeric`	diplomatic_representation_from_the_us_mailing_address_numeric	float	0%	1
`diplomatic_representation_from_the_us_telephone_text`	diplomatic_representation_from_the_us_telephone_text	string	0%	1
`diplomatic_representation_from_the_us_telephone_numeric`	diplomatic_representation_from_the_us_telephone_numeric	float	0%	1
`diplomatic_representation_from_the_us_fax_text`	diplomatic_representation_from_the_us_fax_text	string	0%	1
`diplomatic_representation_from_the_us_fax_numeric`	diplomatic_representation_from_the_us_fax_numeric	float	0%	1
`diplomatic_representation_from_the_us_email_address_and_website_text`	diplomatic_representation_from_the_us_email_address_and_website_text	string	0%	1
`diplomatic_representation_from_the_us_consulate_s_general_text`	diplomatic_representation_from_the_us_consulate_s_general_text	string	0%	1
`diplomatic_representation_from_the_us_branch_office_s_text`	diplomatic_representation_from_the_us_branch_office_s_text	string	0%	1
`international_organization_participation_text`	international_organization_participation_text	string	0%	1
`international_organization_participation_numeric`	international_organization_participation_numeric	float	0%	1
`independence_text`	independence_text	string	0%	1
`independence_numeric`	independence_numeric	float	0%	1
`national_holiday_text`	national_holiday_text	string	0%	1
`national_holiday_numeric`	national_holiday_numeric	float	0%	1
`flag_text`	flag_text	string	0%	1
`flag_numeric`	flag_numeric	float	0%	1
`national_symbol_s_text`	national_symbol_s_text	string	0%	1
`national_color_s_text`	national_color_s_text	string	0%	1
`national_anthem_s_title_text`	national_anthem_s_title_text	string	0%	1
`national_anthem_s_lyrics_music_text`	national_anthem_s_lyrics_music_text	string	0%	1
`national_anthem_s_history_text`	national_anthem_s_history_text	string	0%	1
`national_anthem_s_history_numeric`	national_anthem_s_history_numeric	float	0%	1
`national_heritage_total_world_heritage_sites_text`	national_heritage_total_world_heritage_sites_text	string	0%	1
`national_heritage_total_world_heritage_sites_numeric`	national_heritage_total_world_heritage_sites_numeric	float	0%	1
`national_heritage_selected_world_heritage_site_locales_text`	national_heritage_selected_world_heritage_site_locales_text	string	0%	1
`country_name`	country_name	string	0%	1
`source_section`	source_section	string	0%	1
`source_profile_path`	source_profile_path	string	0%	1

Field Name	Label	Type	Nulls	Unique
`military_and_security_forces_text`	military_and_security_forces_text	string	0%	1
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1
`military_expenditures_military_expenditures_2024_text`	military_expenditures_military_expenditures_2024_text	string	0%	1
`military_expenditures_military_expenditures_2024_numeric`	military_expenditures_military_expenditures_2024_numeric	float	0%	1
`military_expenditures_military_expenditures_2023_text`	military_expenditures_military_expenditures_2023_text	string	0%	1
`military_expenditures_military_expenditures_2023_numeric`	military_expenditures_military_expenditures_2023_numeric	float	0%	1
`military_expenditures_military_expenditures_2022_text`	military_expenditures_military_expenditures_2022_text	string	0%	1
`military_expenditures_military_expenditures_2022_numeric`	military_expenditures_military_expenditures_2022_numeric	float	0%	1
`military_expenditures_military_expenditures_2021_text`	military_expenditures_military_expenditures_2021_text	string	0%	1
`military_expenditures_military_expenditures_2021_numeric`	military_expenditures_military_expenditures_2021_numeric	float	0%	1
`military_expenditures_military_expenditures_2020_text`	military_expenditures_military_expenditures_2020_text	string	0%	1
`military_expenditures_military_expenditures_2020_numeric`	military_expenditures_military_expenditures_2020_numeric	float	0%	1
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1
`military_equipment_inventories_and_acquisitions_numeric`	military_equipment_inventories_and_acquisitions_numeric	float	0%	1
`military_service_age_and_obligation_text`	military_service_age_and_obligation_text	string	0%	1
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1
`military_note_text`	military_note_text	string	0%	1
`military_note_numeric`	military_note_numeric	float	0%	1
`source_section`	source_section	string	0%	1
`source_profile_path`	source_profile_path	string	0%	1

Field Name	Label	Type	Nulls	Unique
`population_total_text`	population_total_text	string	0%	1
`population_male_text`	population_male_text	string	0%	1
`population_female_text`	population_female_text	string	0%	1
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1
`median_age_total_text`	median_age_total_text	string	0%	1
`median_age_male_text`	median_age_male_text	string	0%	1
`median_age_male_numeric`	median_age_male_numeric	float	0%	1
`median_age_female_text`	median_age_female_text	string	0%	1
`median_age_female_numeric`	median_age_female_numeric	float	0%	1
`population_growth_rate_text`	population_growth_rate_text	string	0%	1
`birth_rate_text`	birth_rate_text	string	0%	1
`death_rate_text`	death_rate_text	string	0%	1
`net_migration_rate_text`	net_migration_rate_text	string	0%	1
`population_distribution_text`	population_distribution_text	string	0%	1
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1
`sex_ratio_65_years_and_over_text`	sex_ratio_65_years_and_over_text	string	0%	1
`sex_ratio_65_years_and_over_numeric`	sex_ratio_65_years_and_over_numeric	float	0%	1
`sex_ratio_total_population_text`	sex_ratio_total_population_text	string	0%	1
`maternal_mortality_ratio_text`	maternal_mortality_ratio_text	string	0%	1
`infant_mortality_rate_total_text`	infant_mortality_rate_total_text	string	0%	1
`infant_mortality_rate_male_text`	infant_mortality_rate_male_text	string	0%	1
`infant_mortality_rate_male_numeric`	infant_mortality_rate_male_numeric	float	0%	1
`infant_mortality_rate_female_text`	infant_mortality_rate_female_text	string	0%	1
`infant_mortality_rate_female_numeric`	infant_mortality_rate_female_numeric	float	0%	1
`life_expectancy_at_birth_total_population_text`	life_expectancy_at_birth_total_population_text	string	0%	1
`life_expectancy_at_birth_male_text`	life_expectancy_at_birth_male_text	string	0%	1
`life_expectancy_at_birth_male_numeric`	life_expectancy_at_birth_male_numeric	float	0%	1
`life_expectancy_at_birth_female_text`	life_expectancy_at_birth_female_text	string	0%	1
`life_expectancy_at_birth_female_numeric`	life_expectancy_at_birth_female_numeric	float	0%	1
`total_fertility_rate_text`	total_fertility_rate_text	string	0%	1
`gross_reproduction_rate_text`	gross_reproduction_rate_text	string	0%	1
`drinking_water_source_improved_urban_text`	drinking_water_source_improved_urban_text	string	0%	1
`drinking_water_source_improved_urban_numeric`	drinking_water_source_improved_urban_numeric	float	0%	1
`drinking_water_source_improved_rural_text`	drinking_water_source_improved_rural_text	string	0%	1
`drinking_water_source_improved_rural_numeric`	drinking_water_source_improved_rural_numeric	float	0%	1
`drinking_water_source_improved_total_text`	drinking_water_source_improved_total_text	string	0%	1
`drinking_water_source_improved_total_numeric`	drinking_water_source_improved_total_numeric	float	0%	1
`drinking_water_source_unimproved_urban_text`	drinking_water_source_unimproved_urban_text	string	0%	1
`drinking_water_source_unimproved_urban_numeric`	drinking_water_source_unimproved_urban_numeric	float	0%	1
`drinking_water_source_unimproved_rural_text`	drinking_water_source_unimproved_rural_text	string	0%	1
`drinking_water_source_unimproved_rural_numeric`	drinking_water_source_unimproved_rural_numeric	float	0%	1
`drinking_water_source_unimproved_total_text`	drinking_water_source_unimproved_total_text	string	0%	1
`drinking_water_source_unimproved_total_numeric`	drinking_water_source_unimproved_total_numeric	float	0%	1
`health_expenditure_health_expenditure_as_of_gdp_text`	health_expenditure_health_expenditure_as_of_gdp_text	string	0%	1
`health_expenditure_health_expenditure_as_of_gdp_numeric`	health_expenditure_health_expenditure_as_of_gdp_numeric	float	0%	1
`health_expenditure_health_expenditure_as_of_national_budget_text`	health_expenditure_health_expenditure_as_of_national_budget_text	string	0%	1
`health_expenditure_health_expenditure_as_of_national_budget_numeric`	health_expenditure_health_expenditure_as_of_national_budget_numeric	float	0%	1
`physician_density_text`	physician_density_text	string	0%	1
`hospital_bed_density_text`	hospital_bed_density_text	string	0%	1
`sanitation_facility_access_improved_urban_text`	sanitation_facility_access_improved_urban_text	string	0%	1
`sanitation_facility_access_improved_urban_numeric`	sanitation_facility_access_improved_urban_numeric	float	0%	1
`sanitation_facility_access_improved_rural_text`	sanitation_facility_access_improved_rural_text	string	0%	1
`sanitation_facility_access_improved_rural_numeric`	sanitation_facility_access_improved_rural_numeric	float	0%	1
`sanitation_facility_access_improved_total_text`	sanitation_facility_access_improved_total_text	string	0%	1
`sanitation_facility_access_improved_total_numeric`	sanitation_facility_access_improved_total_numeric	float	0%	1
`sanitation_facility_access_unimproved_urban_text`	sanitation_facility_access_unimproved_urban_text	string	0%	1
`sanitation_facility_access_unimproved_urban_numeric`	sanitation_facility_access_unimproved_urban_numeric	float	0%	1
`sanitation_facility_access_unimproved_rural_text`	sanitation_facility_access_unimproved_rural_text	string	0%	1
`sanitation_facility_access_unimproved_rural_numeric`	sanitation_facility_access_unimproved_rural_numeric	float	0%	1
`sanitation_facility_access_unimproved_total_text`	sanitation_facility_access_unimproved_total_text	string	0%	1
`sanitation_facility_access_unimproved_total_numeric`	sanitation_facility_access_unimproved_total_numeric	float	0%	1
`obesity_adult_prevalence_rate_text`	obesity_adult_prevalence_rate_text	string	0%	1
`obesity_adult_prevalence_rate_numeric`	obesity_adult_prevalence_rate_numeric	float	0%	1
`alcohol_consumption_per_capita_total_text`	alcohol_consumption_per_capita_total_text	string	0%	1
`alcohol_consumption_per_capita_total_numeric`	alcohol_consumption_per_capita_total_numeric	float	0%	1
`alcohol_consumption_per_capita_beer_text`	alcohol_consumption_per_capita_beer_text	string	0%	1
`alcohol_consumption_per_capita_beer_numeric`	alcohol_consumption_per_capita_beer_numeric	float	0%	1
`alcohol_consumption_per_capita_wine_text`	alcohol_consumption_per_capita_wine_text	string	0%	1
`alcohol_consumption_per_capita_wine_numeric`	alcohol_consumption_per_capita_wine_numeric	float	0%	1
`alcohol_consumption_per_capita_spirits_text`	alcohol_consumption_per_capita_spirits_text	string	0%	1
`alcohol_consumption_per_capita_spirits_numeric`	alcohol_consumption_per_capita_spirits_numeric	float	0%	1
`alcohol_consumption_per_capita_other_alcohols_text`	alcohol_consumption_per_capita_other_alcohols_text	string	0%	1
`alcohol_consumption_per_capita_other_alcohols_numeric`	alcohol_consumption_per_capita_other_alcohols_numeric	float	0%	1
`tobacco_use_total_text`	tobacco_use_total_text	string	0%	1
`tobacco_use_total_numeric`	tobacco_use_total_numeric	float	0%	1
`tobacco_use_male_text`	tobacco_use_male_text	string	0%	1
`tobacco_use_male_numeric`	tobacco_use_male_numeric	float	0%	1
`tobacco_use_female_text`	tobacco_use_female_text	string	0%	1
`tobacco_use_female_numeric`	tobacco_use_female_numeric	float	0%	1
`children_under_the_age_of_5_years_underweight_text`	children_under_the_age_of_5_years_underweight_text	string	0%	1
`children_under_the_age_of_5_years_underweight_numeric`	children_under_the_age_of_5_years_underweight_numeric	float	0%	1
`currently_married_women_ages_15_49_text`	currently_married_women_ages_15_49_text	string	0%	1
`currently_married_women_ages_15_49_numeric`	currently_married_women_ages_15_49_numeric	float	0%	1
`education_expenditure_education_expenditure_gdp_text`	education_expenditure_education_expenditure_gdp_text	string	0%	1
`education_expenditure_education_expenditure_gdp_numeric`	education_expenditure_education_expenditure_gdp_numeric	float	0%	1
`education_expenditure_education_expenditure_national_budget_text`	education_expenditure_education_expenditure_national_budget_text	string	0%	1
`education_expenditure_education_expenditure_national_budget_numeric`	education_expenditure_education_expenditure_national_budget_numeric	float	0%	1
`literacy_total_population_text`	literacy_total_population_text	string	0%	1
`literacy_male_text`	literacy_male_text	string	0%	1
`literacy_male_numeric`	literacy_male_numeric	float	0%	1
`literacy_female_text`	literacy_female_text	string	0%	1
`literacy_female_numeric`	literacy_female_numeric	float	0%	1
`school_life_expectancy_primary_to_tertiary_education_total_text`	school_life_expectancy_primary_to_tertiary_education_total_text	string	0%	1
`school_life_expectancy_primary_to_tertiary_education_total_numeric`	school_life_expectancy_primary_to_tertiary_education_total_numeric	float	0%	1
`school_life_expectancy_primary_to_tertiary_education_male_text`	school_life_expectancy_primary_to_tertiary_education_male_text	string	0%	1
`school_life_expectancy_primary_to_tertiary_education_male_numeric`	school_life_expectancy_primary_to_tertiary_education_male_numeric	float	0%	1
`school_life_expectancy_primary_to_tertiary_education_female_text`	school_life_expectancy_primary_to_tertiary_education_female_text	string	0%	1
`school_life_expectancy_primary_to_tertiary_education_female_numeric`	school_life_expectancy_primary_to_tertiary_education_female_numeric	float	0%	1
`source_section`	source_section	string	0%	1
`source_profile_path`	source_profile_path	string	0%	1