Baselight

Global Jobs Indicators Database (JOIN)

Global jobs and employment data

@worldbank.global_jobs_indicators_database

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About this Dataset

Global Jobs Indicators Database (JOIN)

The Global Jobs Indicators Database (JoIn) presents the standardized labor supply indicators most commonly used in country Jobs Diagnostics. These cover socio-demographics, labor force status and employment type, employment composition by sector and occupation, education level completed, hours worked, and earnings.

Tables

Employment In The Elementary Occupation Group, Aged 15-64, Urban (% Of Urban Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_elem_ur_zs
  • 14.35 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_elem_ur_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employment In The Elementary Occupation Group, Aged 15-24 (% Of Employed Population Aged 15-24)

@worldbank.global_jobs_indicators_database.ji_emp_elem_yg_zs
  • 15.24 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_elem_yg_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employment In The Elementary Occupation Group, Aged 15-64, Total (% Of Total Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_elem_zs
  • 15.78 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_elem_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employment In The Financial And Business Services Sector, Aged 15-64, Female (% Of Female Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_fabu_fe_zs
  • 16.65 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_fabu_fe_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employment In The Financial And Business Services Sector, Aged 15-64, Above Primary Education (% Of Employed Population With High Education In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_fabu_he_zs
  • 16.07 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_fabu_he_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employment In The Financial And Business Services Sector, Aged 15-64, Primary Education And Below (% Of Employed Population With Low Education In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_fabu_le_zs
  • 15.51 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_fabu_le_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employment In The Financial And Business Services Sector, Aged 15-64, Male (% Of Male Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_fabu_ma_zs
  • 16.59 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_fabu_ma_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employment In The Financial And Business Services Sector, Aged 25-64 (% Of Employed Population Aged 25-64)

@worldbank.global_jobs_indicators_database.ji_emp_fabu_ol_zs
  • 16.65 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_fabu_ol_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employment In The Financial And Business Services Sector, Aged 15-64, Rural (% Of Rural Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_fabu_ru_zs
  • 15.54 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_fabu_ru_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employment In The Financial And Business Services Sector, Aged 15-64, Urban (% Of Urban Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_fabu_ur_zs
  • 15.73 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_fabu_ur_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employment In The Financial And Business Services Sector, Aged 15-24 (% Of Employed Population Aged 15-24)

@worldbank.global_jobs_indicators_database.ji_emp_fabu_yg_zs
  • 16.66 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_fabu_yg_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employment In The Financial And Business Services Sector, Aged 15-64, Total (% Of Total Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_fabu_zs
  • 17.44 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_fabu_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employed Workers With Health Insurance, Aged 15-64, Female (% Of Female Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_hins_fe_zs
  • 7.38 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_hins_fe_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employed Workers With Health Insurance, Aged 15-64, Above Primary Education (% Of Employed Population With High Education In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_hins_he_zs
  • 7.34 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_hins_he_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employed Workers With Health Insurance, Aged 15-64, Primary Education And Below (% Of Employed Population With Low Education In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_hins_le_zs
  • 7.39 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_hins_le_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employed Workers With Health Insurance, Aged 15-64, Male (% Of Male Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_hins_ma_zs
  • 7.38 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_hins_ma_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employed Workers With Health Insurance, Aged 25-64 (% Of Employed Population Aged 25-64)

@worldbank.global_jobs_indicators_database.ji_emp_hins_ol_zs
  • 7.35 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_hins_ol_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employed Workers With Health Insurance, Aged 15-64, Rural (% Of Rural Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_hins_ru_zs
  • 7.18 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_hins_ru_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employed Workers With Health Insurance, Aged 15-64, Urban (% Of Urban Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_hins_ur_zs
  • 7.28 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_hins_ur_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employed Workers With Health Insurance, Aged 15-24 (% Of Employed Population Aged 15-24)

@worldbank.global_jobs_indicators_database.ji_emp_hins_yg_zs
  • 7.39 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_hins_yg_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employed Workers With Health Insurance, Aged 15-64, Total (% Of Total Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_hins_zs
  • 7.65 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_hins_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Informal Job Workers, Aged 15-64, Female (% Of Female Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_ifrm_fe_zs
  • 9.43 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_ifrm_fe_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Informal Job Workers, Aged 15-64, Above Primary Education (% Of Employed Population With High Education In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_ifrm_he_zs
  • 9.46 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_ifrm_he_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Informal Job Workers, Aged 15-64, Primary Education And Below (% Of Employed Population With Low Education In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_ifrm_le_zs
  • 9.34 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_ifrm_le_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Informal Job Workers, Aged 15-64, Male (% Of Male Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_ifrm_ma_zs
  • 9.44 KB
  • 8736 rows
  • 3 columns
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CREATE TABLE ji_emp_ifrm_ma_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

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