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

Non-agricultural Employers, Aged 15-64, Rural (% Of Rural Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_mpyr_na_ru_zs

14.6 KB
8736 rows
3 columns


CREATE TABLE ji_emp_mpyr_na_ru_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Non-agricultural Employers, Aged 15-64, Urban (% Of Urban Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_mpyr_na_ur_zs

14.72 KB
8736 rows
3 columns


CREATE TABLE ji_emp_mpyr_na_ur_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Non-agricultural Employers, Aged 15-24 (% Of Employed Population Aged 15-24)

@worldbank.global_jobs_indicators_database.ji_emp_mpyr_na_yg_zs

14.73 KB
8736 rows
3 columns


CREATE TABLE ji_emp_mpyr_na_yg_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Non-agricultural Employers, Aged 15-64, Total (% Of Total Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_mpyr_na_zs

16.32 KB
8736 rows
3 columns


CREATE TABLE ji_emp_mpyr_na_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employers, Aged 25-64 (% Of Employed Population Aged 25-64)

@worldbank.global_jobs_indicators_database.ji_emp_mpyr_ol_zs

16.55 KB
8736 rows
3 columns


CREATE TABLE ji_emp_mpyr_ol_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employers, Aged 15-64, Rural (% Of Rural Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_mpyr_ru_zs

15.39 KB
8736 rows
3 columns


CREATE TABLE ji_emp_mpyr_ru_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employers, Aged 15-64, Urban (% Of Urban Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_mpyr_ur_zs

15.55 KB
8736 rows
3 columns


CREATE TABLE ji_emp_mpyr_ur_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employers, Aged 15-24 (% Of Employed Population Aged 15-24)

@worldbank.global_jobs_indicators_database.ji_emp_mpyr_yg_zs

15.92 KB
8736 rows
3 columns


CREATE TABLE ji_emp_mpyr_yg_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Employers, Aged 15-64, Total (% Of Total Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_mpyr_zs

17.42 KB
8736 rows
3 columns


CREATE TABLE ji_emp_mpyr_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Female In Non-agricultural Employment, Aged 15-64, Above Primary Education (% Of Employed Female Population With High Education In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_nagr_fe_he_zs

15.11 KB
8736 rows
3 columns


CREATE TABLE ji_emp_nagr_fe_he_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Female In Non-agricultural Employment, Aged 15-64, Primary Education And Below (% Of Employed Female Population With Low Education In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_nagr_fe_le_zs

14.95 KB
8736 rows
3 columns


CREATE TABLE ji_emp_nagr_fe_le_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Female In Non-agricultural Employment, Aged 25-64 (% Of Employed Female Population Aged 25-64)

@worldbank.global_jobs_indicators_database.ji_emp_nagr_fe_ol_zs

15.9 KB
8736 rows
3 columns


CREATE TABLE ji_emp_nagr_fe_ol_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Female In Non-agricultural Employment, Aged 15-64, Rural (% Of Rural Employed Female Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_nagr_fe_ru_zs

15.15 KB
8736 rows
3 columns


CREATE TABLE ji_emp_nagr_fe_ru_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Female In Non-agricultural Employment, Aged 15-64, Urban (% Of Urban Employed Female Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_nagr_fe_ur_zs

14.62 KB
8736 rows
3 columns


CREATE TABLE ji_emp_nagr_fe_ur_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Female In Non-agricultural Employment, Aged 15-24 (% Of Employed Female Population Aged 15-24)

@worldbank.global_jobs_indicators_database.ji_emp_nagr_fe_yg_zs

15.49 KB
8736 rows
3 columns


CREATE TABLE ji_emp_nagr_fe_yg_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Female In Non-agricultural Employment, Aged 15-64, Total (% Of Total Employed Female Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_nagr_fe_zs

16.67 KB
8736 rows
3 columns


CREATE TABLE ji_emp_nagr_fe_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Youth In Non-agricultural Employment, Aged 15-24, Female (% Of Female Employed Youth Aged 15-24)

@worldbank.global_jobs_indicators_database.ji_emp_nagr_yg_fe_zs

15.49 KB
8736 rows
3 columns


CREATE TABLE ji_emp_nagr_yg_fe_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Youth In Non-agricultural Employment, Aged 15-24, Above Primary Education (% Of Employed Youth With High Education Aged 15-24)

@worldbank.global_jobs_indicators_database.ji_emp_nagr_yg_he_zs

15.19 KB
8736 rows
3 columns


CREATE TABLE ji_emp_nagr_yg_he_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Youth In Non-agricultural Employment, Aged 15-24, Primary Education And Below (% Of Employed Youth With Low Education Aged 15-24)

@worldbank.global_jobs_indicators_database.ji_emp_nagr_yg_le_zs

14.28 KB
8736 rows
3 columns


CREATE TABLE ji_emp_nagr_yg_le_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Youth In Non-agricultural Employment, Aged 15-24, Male (% Of Male Employed Youth Aged 15-24)

@worldbank.global_jobs_indicators_database.ji_emp_nagr_yg_ma_zs

15.99 KB
8736 rows
3 columns


CREATE TABLE ji_emp_nagr_yg_ma_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Youth In Non-agricultural Employment, Aged 15-24, Rural (% Of Rural Employed Youth Aged 15-24)

@worldbank.global_jobs_indicators_database.ji_emp_nagr_yg_ru_zs

15.18 KB
8736 rows
3 columns


CREATE TABLE ji_emp_nagr_yg_ru_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Youth In Non-agricultural Employment, Aged 15-24, Urban (% Of Urban Employed Youth Aged 15-24)

@worldbank.global_jobs_indicators_database.ji_emp_nagr_yg_ur_zs

14.43 KB
8736 rows
3 columns


CREATE TABLE ji_emp_nagr_yg_ur_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Youth In Non-agricultural Employment, Aged 15-24, Total (% Of Total Employed Youth Aged 15-24)

@worldbank.global_jobs_indicators_database.ji_emp_nagr_yg_zs

16.73 KB
8736 rows
3 columns


CREATE TABLE ji_emp_nagr_yg_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

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

@worldbank.global_jobs_indicators_database.ji_emp_osrv_fe_zs

16.35 KB
8736 rows
3 columns


CREATE TABLE ji_emp_osrv_fe_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

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

@worldbank.global_jobs_indicators_database.ji_emp_osrv_he_zs

15.85 KB
8736 rows
3 columns


CREATE TABLE ji_emp_osrv_he_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);