Argentina - Unemployment

Argentina: Unemployment

Mnemonic LBU.IARG
Unit #, NSA
Adjustments Not Seasonally Adjusted
Quarterly 1.53 %
Data 2020 Q3 1,415,000
2020 Q2 1,437,000

Series Information

Source National Institute of Statistics and Censuses of the Argentine Republic (INDEC)
Release Permanent Household Survey
Frequency Quarterly
Start Date 9/30/2003
End Date 9/30/2020

Argentina: Labor

Reference Last Previous Units Frequency
Wage & Salaries Oct 2020 302.94 291.02 Index Oct2016=100, NSA Monthly
Labor Force 2020 Q3 12,073,000 10,983,000 #, NSA Quarterly
Primary Industries Employment 2020 Q3 1,280,418,407 2,487,444,279 Ths. ARS, NSAAR Quarterly
Total Employment 2020 Q3 10,658,000 9,546,000 #, NSA Quarterly
Unemployment 2020 Q3 1,415,000 1,437,000 #, NSA Quarterly
Unemployment Rate 2020 Q3 11.7 13.1 %, NSA Quarterly
Agriculture Employment 2017 107,868 108,766 # Annual

Release Information

The goal of the Moody's Analytics Detailed Employment and Output dataset for Canada is to obtain series consistent through time, geography, and industries, which incorporate the most current information available. The database is available at a quarterly frequency and history is available as early as 1976. Forecasts are available 30 years out. History and forecasts are updated monthly. Industry coverage (NAICS 2007) includes supersectors, 2-, 3- and 4-digit industries.

Quarterly series are available for the nation (Canada), provinces and census metropolitan areas.

All series are updated monthly on a staggered schedule driven by our corresponding forecast products, starting with our Canadian national forecast, usually published mid-month. National, provincial and metro detailed estimates follow each corresponding forecast publication.

Our employment and output estimates are consistent with the classification used by Statistics Canada, NAICS 2007. Detail includes supersectors, 2-, 3- and 4-digit on a quarterly basis for all geographic levels.

Statistics Canada publishes four non-standard aggregates of NAICS 2007 industries. They are:

  • Agriculture = NAICS 1100-1129; 1151-1152
    • 1100-1129: Crop and animal production
    • 1151-1152: Support activities for crop and animal production
  • Forestry, fishing, mining, oil & gas (FM) = NAICS 1131-1133; 1141-1142; 1153; 2100-2131
    • 113: Forestry and Logging
    • 114: Fishing, Hunting and Trapping
    • 1153: Support Activities for Forestry
    • 21: Mining, Quarrying, and Oil and Gas Extraction
  • Information, culture and recreation (ICR) = NAICS 51; 71
    • 51: Information and Cultural Ideas
    • 71: Arts, Entertainment and Recreation
  • Business, building and other support services (BBS) = NAICS 55; 56
    • 55: Management of Companies and Enterprises
    • 56: Administrative and Support, Waste Management and Remediation Services.

Total employment, super sectors and 2- digit industries are benchmarked to our Canadian subnational forecast product. The 3- and 4- digit industrial detail forecast estimates are created by calculating the difference between the growth rate of a sector relative to that of its parent industry, and then shrinking this difference over the forecast horizon until it is zero in the final forecast period. The resulting time series of growth rates is applied to the historical levels. We then squeeze to ensure child industries sum to parent.

Total, super sectors and 2- digit industries for real gross value added are benchmarked to our Canadian subnational forecast product. The real 3- and 4- digit industrial detail forecast estimates are created by extending the NAICS sector implied productivity rate of the metropolitan area relative to the provincial performance in that sector. The productivity rate is calculated as Output / Employment. Employment projections for each sector are obtained from the Moody’s Analytics detailed employment forecasts. Nominal industry detail are forecasted by extending the sector deflator of the metropolitan area relative to the provincial sector deflator. Nominal series are squeezed to ensure additivity between children and parents industries. It is possible the real series may not sum exactly due to chaining.