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

Median Earnings Per Month In The Industrial Sector, Aged 15-64, Local Currency Values, Primary Education And Below

@worldbank.global_jobs_indicators_database.ji_ind_wage_md_le_cn

10.97 KB
8736 rows
3 columns


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

Median Earnings Per Month In The Industrial Sector, Aged 15-64, Local Currency Values, Male

@worldbank.global_jobs_indicators_database.ji_ind_wage_md_ma_cn

11.4 KB
8736 rows
3 columns


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

Median Earnings Per Month In The Industrial Sector, Aged 25-64, Local Currency Values

@worldbank.global_jobs_indicators_database.ji_ind_wage_md_ol_cn

11.48 KB
8736 rows
3 columns


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

Median Earnings Per Month In The Industrial Sector, Aged 15-64, Local Currency Values, Rural

@worldbank.global_jobs_indicators_database.ji_ind_wage_md_ru_cn

10.98 KB
8736 rows
3 columns


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

Median Earnings Per Month In The Industrial Sector, Aged 15-64, Local Currency Values, Urban

@worldbank.global_jobs_indicators_database.ji_ind_wage_md_ur_cn

11.04 KB
8736 rows
3 columns


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

Median Earnings Per Month In The Industrial Sector, Aged 15-24, Local Currency Values

@worldbank.global_jobs_indicators_database.ji_ind_wage_md_yg_cn

11.25 KB
8736 rows
3 columns


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

Wage Employment In Industry, Aged 25-64 (% Of Workers Aged 25-64 In The Industrial Sector)

@worldbank.global_jobs_indicators_database.ji_ind_wage_ol_zs

15.73 KB
8736 rows
3 columns


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

Wage Employment In Industry, Aged 15-64, Rural (% Of Rural Workers In The Industrial Sector)

@worldbank.global_jobs_indicators_database.ji_ind_wage_ru_zs

14.74 KB
8736 rows
3 columns


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

Wage Employment In Industry, Aged 15-64, Urban (% Of Urban Workers In The Industrial Sector)

@worldbank.global_jobs_indicators_database.ji_ind_wage_ur_zs

14.78 KB
8736 rows
3 columns


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

Wage Employment In Industry, Aged 15-24 (% Of Workers Aged 15-24 In The Industrial Sector)

@worldbank.global_jobs_indicators_database.ji_ind_wage_yg_zs

15.13 KB
8736 rows
3 columns


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

Wage Employment In Industry, Aged 15-64, Total (% Of Total Workers In The Industrial Sector)

@worldbank.global_jobs_indicators_database.ji_ind_wage_zs

16.4 KB
8736 rows
3 columns


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

Workers With More Than One Jobs In Last Week, Aged 15-64, Female (% Of Female Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_job_mltp_fe_zs

10.05 KB
8736 rows
3 columns


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

Workers With More Than One Jobs In Last Week, Aged 15-64, Above Primary Education (% Of Employed Population With High Education In Working Age)

@worldbank.global_jobs_indicators_database.ji_job_mltp_he_zs

9.3 KB
8736 rows
3 columns


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

Workers With More Than One Jobs In Last Week, Aged 15-64, Primary Education And Below (% Of Employed Population With Low Education In Working Age)

@worldbank.global_jobs_indicators_database.ji_job_mltp_le_zs

9.84 KB
8736 rows
3 columns


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

Workers With More Than One Jobs In Last Week, Aged 15-64, Male (% Of Male Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_job_mltp_ma_zs

10.05 KB
8736 rows
3 columns


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

Workers With More Than One Jobs In Last Week, Aged 25-64 (% Of Employed Population Aged 25-64)

@worldbank.global_jobs_indicators_database.ji_job_mltp_ol_zs

10.09 KB
8736 rows
3 columns


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

Workers With More Than One Jobs In Last Week, Aged 15-64, Rural (% Of Rural Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_job_mltp_ru_zs

9.25 KB
8736 rows
3 columns


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

Workers With More Than One Jobs In Last Week, Aged 15-64, Urban (% Of Urban Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_job_mltp_ur_zs

9.33 KB
8736 rows
3 columns


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

Workers With More Than One Jobs In Last Week, Aged 15-24 (% Of Employed Population Aged 15-24)

@worldbank.global_jobs_indicators_database.ji_job_mltp_yg_zs

9.95 KB
8736 rows
3 columns


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

Workers With More Than One Jobs In Last Week, Aged 15-64, Total (% Of Total Employed Population In Working Age)

@worldbank.global_jobs_indicators_database.ji_job_mltp_zs

10.41 KB
8736 rows
3 columns


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

Population Aged 0-14, Female (% Of Female Population)

@worldbank.global_jobs_indicators_database.ji_pop_0014_fe_zs

18.21 KB
8736 rows
3 columns


CREATE TABLE ji_pop_0014_fe_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Aged 0-14, Above Primary Education (% Of Population With High Edcuation)

@worldbank.global_jobs_indicators_database.ji_pop_0014_he_zs

12.38 KB
8736 rows
3 columns


CREATE TABLE ji_pop_0014_he_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Aged 0-14, Primary Education And Below (% Of Population With Low Edcuation)

@worldbank.global_jobs_indicators_database.ji_pop_0014_le_zs

13.82 KB
8736 rows
3 columns


CREATE TABLE ji_pop_0014_le_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Aged 0-14, Male (% Of Male Population)

@worldbank.global_jobs_indicators_database.ji_pop_0014_ma_zs

18.06 KB
8736 rows
3 columns


CREATE TABLE ji_pop_0014_ma_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Aged 0-14, Rural (% Of Rural Population)

@worldbank.global_jobs_indicators_database.ji_pop_0014_ru_zs

16.47 KB
8736 rows
3 columns


CREATE TABLE ji_pop_0014_ru_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);