| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
glottocode |
string | CCL | 0% | 100 |
name |
string | SEL | 0% | 100 |
iso639_3 |
string | CCL | 12% | 88 |
level |
string | SEL | 0% | 1 |
family_name |
string | CCL | 100% | - |
family_glottocode |
string | CCL | 0% | 11 |
parent_name |
string | SEL | 100% | - |
parent_glottocode |
string | CCL | 0% | 86 |
endangerment_status |
string | CCL | 100% | - |
latitude |
float | CCL | 1% | 98 |
longitude |
float | CCL | 1% | 98 |
country_codes |
string | SEL+ | 0% | 18 |
classification |
string | CCL | 0% | 1 |
child_family_count |
integer | CCL | 0% | 1 |
child_language_count |
integer | CCL | 0% | 1 |
child_dialect_count |
integer | CCL | 0% | 12 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
year |
integer | CCL | 0% | 75 |
country_of_origin |
string | CCL | 100% | - |
country_of_origin_iso |
string | CCL | 0% | 1 |
country_of_asylum |
string | CCL | 100% | - |
country_of_asylum_iso |
string | CCL | 0% | 1 |
population_type |
string | CCL | 100% | - |
refugees |
integer | CCL | 0% | 75 |
asylum_seekers |
integer | CCL | 0% | 34 |
idps |
integer | CCL | 0% | 34 |
stateless |
integer | CCL | 0% | 23 |
others_of_concern |
integer | CCL | 0% | 30 |
total_population |
string | CCL | 100% | - |
female_total |
string | CCL | 100% | - |
male_total |
string | CCL | 100% | - |
female_0_4 |
string | CCL | 100% | - |
female_5_11 |
string | CCL | 100% | - |
female_12_17 |
string | CCL | 100% | - |
female_18_59 |
string | CCL | 100% | - |
female_60_plus |
string | CCL | 100% | - |
male_0_4 |
string | CCL | 100% | - |
male_5_11 |
string | CCL | 100% | - |
male_12_17 |
string | CCL | 100% | - |
male_18_59 |
string | CCL | 100% | - |
male_60_plus |
string | CCL | 100% | - |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
year |
integer | CCL | 0% | 75 |
country_of_origin |
string | CCL | 100% | - |
country_of_origin_iso |
string | CCL | 0% | 1 |
country_of_asylum |
string | CCL | 100% | - |
country_of_asylum_iso |
string | CCL | 0% | 1 |
population_type |
string | CCL | 100% | - |
refugees |
integer | CCL | 0% | 75 |
asylum_seekers |
integer | CCL | 0% | 34 |
idps |
integer | CCL | 0% | 34 |
stateless |
integer | CCL | 0% | 23 |
others_of_concern |
integer | CCL | 0% | 30 |
total_population |
string | CCL | 100% | - |
female_total |
string | CCL | 100% | - |
male_total |
string | CCL | 100% | - |
female_0_4 |
string | CCL | 100% | - |
female_5_11 |
string | CCL | 100% | - |
female_12_17 |
string | CCL | 100% | - |
female_18_59 |
string | CCL | 100% | - |
female_60_plus |
string | CCL | 100% | - |
male_0_4 |
string | CCL | 100% | - |
male_5_11 |
string | CCL | 100% | - |
male_12_17 |
string | CCL | 100% | - |
male_18_59 |
string | CCL | 100% | - |
male_60_plus |
string | CCL | 100% | - |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
language_code |
string | CCL | 0% | 3 |
language_name |
string | SEL | 0% | 3 |
iso639_3 |
string | CCL | 100% | - |
country_code |
string | SEL+ | 0% | 1 |
population |
string | CCL | 100% | - |
primary_religion |
string | CCL | 0% | 1 |
people_groups_count |
string | CCL | 100% | - |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
people_id |
integer | CCL | 0% | 7 |
rop3_code |
string | CCL | 0% | 1 |
people_name |
string | SEL | 0% | 7 |
people_name_global |
string | CCL | 0% | 7 |
country_code |
string | SEL+ | 0% | 1 |
country_name |
string | CCL | 0% | 1 |
continent |
string | CCL | 0% | 1 |
region |
string | CCL | 0% | 1 |
population |
integer | CCL | 0% | 6 |
population_global |
string | CCL | 100% | - |
primary_religion |
string | CCL | 0% | 3 |
religion_pct_christianity |
string | CCL | 100% | - |
religion_pct_islam |
string | CCL | 100% | - |
religion_pct_hinduism |
string | CCL | 100% | - |
religion_pct_buddhism |
string | CCL | 100% | - |
religion_pct_ethnic |
string | CCL | 100% | - |
religion_pct_other |
string | CCL | 100% | - |
primary_language |
string | CCL | 0% | 7 |
language_code |
string | CCL | 0% | 7 |
language_iso |
string | CCL | 0% | 1 |
people_cluster |
string | CCL | 0% | 4 |
affinity_bloc |
string | CCL | 0% | 3 |
ethnicity_family |
string | CCL | 100% | - |
latitude |
float | CCL | 0% | 7 |
longitude |
float | CCL | 0% | 7 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
country_name |
string | SEL | 0% | 1 |
year |
integer | SEL | 0% | 66 |
population_count |
float | SEL | 1.5% | 65 |
life_expectancy |
float | SEL | 3% | 64 |
gdp_per_capita_usd |
float | SEL | 1.5% | 65 |
literacy_rate_pct |
string | SEL | 92.4% | 5 |
under5_mortality_per_1000 |
float | SEL | 16.7% | 53 |
poverty_headcount_pct |
string | SEL | 80.3% | 13 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
country_name |
string | SEL | 0% | 1 |
year |
integer | SEL | 0% | 66 |
life_expectancy |
float | SEL | 3% | 64 |
infant_mortality_per_1000 |
string | SEL | 47% | 34 |
under5_mortality_per_1000 |
float | SEL | 16.7% | 53 |
maternal_mortality_per_100k |
string | SEL | 40.9% | 37 |
fertility_rate |
float | SEL | 3% | 61 |
birth_rate_per_1000 |
float | SEL | 3% | 64 |
death_rate_per_1000 |
float | SEL | 3% | 55 |
physicians_per_1000 |
float | SEL | 22.7% | 48 |
hospital_beds_per_1000 |
float | SEL | 10.6% | 56 |
vaccination_rate_pct |
string | SEL | 36.4% | 18 |
health_expenditure_pct_gdp |
string | SEL | 63.6% | 24 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
region_code |
string | SEL | 100% | - |
region_name |
string | SEL | 0% | 33 |
year |
integer | SEL | 0% | 4 |
level |
string | SEL | 0% | 1 |
human_development_index |
float | SEL | 0% | 82 |
health_index |
float | SEL | 0% | 87 |
education_index |
float | SEL | 0% | 43 |
income_index |
float | SEL | 0% | 80 |
life_expectancy |
float | SEL | 0% | 99 |
mean_years_schooling |
float | SEL | 0% | 97 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
admin_name |
string | SEL | 0% | 1 |
year |
float | SEL | 0% | 1 |
population_count |
integer | SEL | 0% | 1 |
urban_population |
integer | SEL | 0% | 1 |
rural_population |
integer | SEL | 0% | 1 |
population_male |
integer | SEL | 0% | 1 |
population_female |
integer | SEL | 0% | 1 |
population_0_14 |
integer | SEL | 0% | 1 |
population_15_64 |
integer | SEL | 0% | 1 |
population_60_plus |
integer | SEL | 0% | 1 |
population_65_plus |
integer | SEL | 0% | 1 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
year |
float | SEL | 0% | 1 |
commodity_name |
string | SEL | 0% | 14 |
| Field Name | Type | Nulls | Unique |
|---|---|---|---|
unit |
string | 0% | 7 |
quantity |
float | 0% | 9 |
yoy_growth_pct |
float | 0% | 14 |
amount_100m_yuan |
float | 0% | 14 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
year |
float | SEL | 0% | 1 |
| Field Name | Type | Nulls | Unique |
|---|---|---|---|
industry |
string | 0% | 10 |
enterprise_count |
float | 0% | 10 |
yoy_growth_pct |
float | 0% | 10 |
actual_fdi_100m_yuan |
float | 0% | 10 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
year |
float | SEL | 0% | 1 |
| Field Name | Type | Nulls | Unique |
|---|---|---|---|
indicator |
string | 0% | 7 |
yearend_100m_yuan |
float | 0% | 7 |
yoy_growth_pct |
float | 0% | 7 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
year |
float | SEL | 0% | 1 |
| Field Name | Type | Nulls | Unique |
|---|---|---|---|
industry |
string | 0% | 10 |
yoy_growth_pct |
float | 0% | 10 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
year |
float | SEL | 0% | 1 |
commodity_name |
string | SEL | 0% | 13 |
| Field Name | Type | Nulls | Unique |
|---|---|---|---|
unit |
string | 0% | 3 |
quantity |
float | 0% | 13 |
yoy_growth_pct |
float | 0% | 13 |
amount_100m_yuan |
float | 0% | 13 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
year |
float | SEL | 0% | 1 |
| Field Name | Type | Nulls | Unique |
|---|---|---|---|
indicator |
string | 0% | 9 |
unit |
string | 0% | 5 |
value |
float | 0% | 9 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
year |
float | SEL | 0% | 1 |
| Field Name | Type | Nulls | Unique |
|---|---|---|---|
industry |
string | 0% | 11 |
amount_100m_usd |
float | 0% | 11 |
yoy_growth_pct |
float | 0% | 11 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
year |
float | SEL | 0% | 1 |
| Field Name | Type | Nulls | Unique |
|---|---|---|---|
indicator |
string | 0% | 8 |
patents_10k |
float | 0% | 8 |
yoy_growth_pct |
float | 0% | 8 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
year |
float | SEL | 0% | 1 |
| Field Name | Type | Nulls | Unique |
|---|---|---|---|
indicator |
string | 0% | 9 |
yearend_10k_persons |
float | 0% | 9 |
share_pct |
float | 0% | 9 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
year |
float | SEL | 0% | 1 |
| Field Name | Type | Nulls | Unique |
|---|---|---|---|
单位:% |
string | 0% | 11 |
col_1 |
string | 0% | 11 |
col_2 |
string | 9.1% | 9 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
year |
float | SEL | 0% | 1 |
product_name |
string | SEL | 0% | 39 |
| Field Name | Type | Nulls | Unique |
|---|---|---|---|
unit |
string | 0% | 14 |
output |
float | 0% | 39 |
yoy_growth_pct |
float | 0% | 38 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
year |
float | SEL | 0% | 1 |
| Field Name | Type | Nulls | Unique |
|---|---|---|---|
indicator |
string | 0% | 9 |
unit |
string | 0% | 2 |
value |
float | 0% | 13 |
yoy_growth_pct |
float | 0% | 13 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
year |
float | SEL | 0% | 1 |
| Field Name | Type | Nulls | Unique |
|---|---|---|---|
country_region |
string | 0% | 11 |
exports_100m_yuan |
float | 0% | 11 |
yoy_growth_pct |
float | 0% | 11 |
export_share_pct |
float | 0% | 11 |
imports_100m_yuan |
float | 0% | 11 |
import_share_pct |
float | 0% | 11 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
year |
float | SEL | 0% | 1 |
| Field Name | Type | Nulls | Unique |
|---|---|---|---|
indicator |
string | 0% | 8 |
amount_100m_yuan |
float | 0% | 12 |
yoy_growth_pct |
float | 0% | 12 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
year |
float | SEL | 0% | 1 |
| Field Name | Type | Nulls | Unique |
|---|---|---|---|
indicator |
string | 0% | 7 |
unit |
string | 0% | 3 |
value |
float | 0% | 12 |
yoy_growth_pct |
float | 0% | 12 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | SEL+ | 0% | 1 |
year |
float | SEL | 0% | 1 |
| Field Name | Type | Nulls | Unique |
|---|---|---|---|
indicator |
string | 0% | 6 |
unit |
string | 0% | 2 |
value |
float | 0% | 10 |
yoy_growth_pct |
float | 0% | 10 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | CCL | 0% | 1 |
wave |
integer | CCL | 0% | 1 |
wave_years |
string | CCL | 0% | 1 |
source |
string | CCL | 0% | 1 |
importance_religion |
integer | CCL | 0% | 1 |
importance_family |
integer | CCL | 0% | 1 |
importance_friends |
integer | CCL | 0% | 1 |
trust_people |
integer | CCL | 0% | 1 |
trust_family |
integer | CCL | 0% | 1 |
life_satisfaction |
integer | CCL | 0% | 1 |
happiness |
integer | CCL | 0% | 1 |
freedom_choice |
integer | CCL | 0% | 1 |
gender_jobs_scarce |
integer | CCL | 0% | 1 |
gender_political_leaders |
integer | CCL | 0% | 1 |
gender_university |
integer | CCL | 0% | 1 |
justifiable_divorce |
integer | CCL | 0% | 1 |
justifiable_homosexuality |
integer | CCL | 0% | 1 |
immigration_policy |
integer | CCL | 0% | 1 |
immigrants_jobs |
integer | CCL | 0% | 1 |
immigrants_culture |
integer | CCL | 0% | 1 |
confidence_government |
integer | CCL | 0% | 1 |
confidence_parliament |
integer | CCL | 0% | 1 |
confidence_police |
integer | CCL | 0% | 1 |
confidence_courts |
integer | CCL | 0% | 1 |
confidence_press |
integer | CCL | 0% | 1 |
democracy_importance |
integer | CCL | 0% | 1 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | CCL | 0% | 1 |
year |
integer | CCL | 0% | 1 |
ethnic_group_name |
string | CCL | 0% | 37 |
ethnic_power_status |
string | CCL | 0% | 3 |
ethnic_population_share |
float | CCL | 0% | 23 |
ethnic_group_id |
float | CCL | 0% | 37 |
group_relevance |
string | CCL | 0% | 1 |
regional_autonomy |
string | CCL | 0% | 3 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
country_code |
string | CCL | 0% | 1 |
country_name |
string | CCL | 0% | 1 |
society_id |
string | CCL | 0% | 17 |
society_name |
string | CCL | 0% | 17 |
dataset |
string | CCL | 0% | 1 |
region |
string | CCL | 0% | 1 |
latitude |
float | CCL | 0% | 14 |
longitude |
float | CCL | 0% | 15 |
language_glottocode |
string | CCL | 0% | 17 |
language_name |
string | CCL | 0% | 1 |
assignment_method |
string | CCL | 0% | 1 |
assignment_confidence |
string | CCL | 0% | 1 |
kinship_system |
string | CCL | 0% | 11 |
marriage_pattern |
string | CCL | 0% | 12 |
subsistence_pattern |
string | CCL | 0% | 14 |
political_complexity |
string | CCL | 0% | 12 |
religion_importance |
string | CCL | 0% | 13 |
residence_pattern |
string | CCL | 0% | 2 |
| Field Name | Type | Schema | Nulls | Unique |
|---|---|---|---|---|
oc_non_state_actors |
numeric | SEL | 0% | 1 |
| Field Name | Type | Nulls | Unique |
|---|---|---|---|
oc_anti_money_laundering |
numeric | 0% | 1 |
oc_arms_trafficking |
numeric | 0% | 1 |
oc_cannabis_trade |
numeric | 0% | 1 |
oc_cocaine_trade |
numeric | 0% | 1 |
oc_criminal_actors |
numeric | 0% | 1 |
oc_criminal_markets |
numeric | 0% | 1 |
oc_criminal_networks |
numeric | 0% | 1 |
oc_criminality |
numeric | 0% | 1 |
oc_cyber_dependent_crimes |
numeric | 0% | 1 |
oc_economic_regulatory_capacity |
numeric | 0% | 1 |
oc_extortion_and_protection_racketeering |
numeric | 0% | 1 |
oc_fauna_crimes |
numeric | 0% | 1 |
oc_financial_crimes |
numeric | 0% | 1 |
oc_flora_crimes |
numeric | 0% | 1 |
oc_foreign_actors |
numeric | 0% | 1 |
oc_government_transparency_and_accountability |
numeric | 0% | 1 |
oc_heroin_trade |
numeric | 0% | 1 |
oc_human_smuggling |
numeric | 0% | 1 |
oc_human_trafficking |
numeric | 0% | 1 |
oc_illicit_trade_in_excisable_goods |
numeric | 0% | 1 |
oc_international_cooperation |
numeric | 0% | 1 |
oc_judicial_system_and_detention |
numeric | 0% | 1 |
oc_law_enforcement |
numeric | 0% | 1 |
oc_mafia_style_groups |
numeric | 0% | 1 |
oc_national_policies_and_laws |
numeric | 0% | 1 |
oc_non_renewable_resource_crimes |
numeric | 0% | 1 |
oc_political_leadership_and_governance |
numeric | 0% | 1 |
oc_prevention |
numeric | 0% | 1 |
oc_private_sector_actors |
numeric | 0% | 1 |
oc_resilience |
numeric | 0% | 1 |
oc_state_embedded_actors |
numeric | 0% | 1 |
oc_synthetic_drug_trade |
numeric | 0% | 1 |
oc_territorial_integrity |
numeric | 0% | 1 |
oc_trade_in_counterfeit_goods |
numeric | 0% | 1 |