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

@worldbank.global_jobs_indicators_database.ji_emp_manf_le_zs

15.87 KB
8736 rows
3 columns


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

Employment In The Manufacturing Sector, Aged 15-64, Male (% Of Male Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_manf_ma_zs

16.67 KB
8736 rows
3 columns


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

Employment In The Manufacturing Sector, Aged 25-64 (% Of Employed Population Aged 25-64)

@worldbank.global_jobs_indicators_database.ji_emp_manf_ol_zs

16.71 KB
8736 rows
3 columns


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

Employment In The Manufacturing Sector, Aged 15-64, Rural (% Of Rural Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_manf_ru_zs

15.53 KB
8736 rows
3 columns


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

Employment In The Manufacturing Sector, Aged 15-64, Urban (% Of Urban Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_manf_ur_zs

15.76 KB
8736 rows
3 columns


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

Employment In The Manufacturing Sector, Aged 15-24 (% Of Employed Population Aged 15-24)

@worldbank.global_jobs_indicators_database.ji_emp_manf_yg_zs

16.7 KB
8736 rows
3 columns


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

Employment In The Manufacturing Sector, Aged 15-64, Total (% Of Total Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_manf_zs

17.45 KB
8736 rows
3 columns


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

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

@worldbank.global_jobs_indicators_database.ji_emp_minq_fe_zs

13.64 KB
8736 rows
3 columns


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

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

@worldbank.global_jobs_indicators_database.ji_emp_minq_he_zs

13.73 KB
8736 rows
3 columns


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

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

@worldbank.global_jobs_indicators_database.ji_emp_minq_le_zs

13.5 KB
8736 rows
3 columns


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

Employment In The Mining Sector, Aged 15-64, Male (% Of Male Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_minq_ma_zs

14.46 KB
8736 rows
3 columns


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

Employment In The Mining Sector, Aged 25-64 (% Of Employed Population Aged 25-64)

@worldbank.global_jobs_indicators_database.ji_emp_minq_ol_zs

14.47 KB
8736 rows
3 columns


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

Employment In The Mining Sector, Aged 15-64, Rural (% Of Rural Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_minq_ru_zs

13.36 KB
8736 rows
3 columns


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

Employment In The Mining Sector, Aged 15-64, Urban (% Of Urban Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_minq_ur_zs

13.4 KB
8736 rows
3 columns


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

Employment In The Mining Sector, Aged 15-24 (% Of Employed Population Aged 15-24)

@worldbank.global_jobs_indicators_database.ji_emp_minq_yg_zs

13.79 KB
8736 rows
3 columns


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

Employment In The Mining Sector, Aged 15-64, Total (% Of Total Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_emp_minq_zs

14.94 KB
8736 rows
3 columns


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

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

@worldbank.global_jobs_indicators_database.ji_emp_mpyr_fe_zs

16.58 KB
8736 rows
3 columns


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

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

@worldbank.global_jobs_indicators_database.ji_emp_mpyr_he_zs

16.2 KB
8736 rows
3 columns


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

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

@worldbank.global_jobs_indicators_database.ji_emp_mpyr_le_zs

15.17 KB
8736 rows
3 columns


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

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

@worldbank.global_jobs_indicators_database.ji_emp_mpyr_ma_zs

16.53 KB
8736 rows
3 columns


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

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

@worldbank.global_jobs_indicators_database.ji_emp_mpyr_na_fe_zs

15.55 KB
8736 rows
3 columns


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

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

@worldbank.global_jobs_indicators_database.ji_emp_mpyr_na_he_zs

15.15 KB
8736 rows
3 columns


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

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

@worldbank.global_jobs_indicators_database.ji_emp_mpyr_na_le_zs

14 KB
8736 rows
3 columns


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

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

@worldbank.global_jobs_indicators_database.ji_emp_mpyr_na_ma_zs

15.46 KB
8736 rows
3 columns


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

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

@worldbank.global_jobs_indicators_database.ji_emp_mpyr_na_ol_zs

15.52 KB
8736 rows
3 columns


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