Eswatini - Agriculture, value added per worker (constant 2010 US$)

The latest value for Agriculture, value added per worker (constant 2010 US$) in Eswatini was 9,912 as of 2019. Over the past 28 years, the value for this indicator has fluctuated between 10,890 in 2013 and 4,778 in 1995.

Definition: Value added per worker is a measure of labor productivity—value added per unit of input. Value added denotes the net output of a sector after adding up all outputs and subtracting intermediate inputs. Data are in constant 2010 U.S. dollars. Agriculture corresponds to the International Standard Industrial Classification (ISIC) tabulation categories A and B (revision 3) or tabulation category A (revision 4), and includes forestry, hunting, and fishing as well as cultivation of crops and livestock production.

Source: Derived using World Bank national accounts data and OECD National Accounts data files, and employment data from International Labour Organization, ILOSTAT database.

See also:

Year Value
1991 6,673
1992 5,312
1993 4,840
1994 4,954
1995 4,778
1996 5,404
1997 5,477
1998 5,459
1999 5,964
2000 6,061
2001 6,017
2002 6,373
2003 7,102
2004 6,369
2005 7,920
2006 7,857
2007 7,821
2008 8,539
2009 9,387
2010 8,338
2011 8,888
2012 10,191
2013 10,890
2014 10,142
2015 10,610
2016 9,666
2017 9,282
2018 9,896
2019 9,912

Development Relevance: Labor productivity is used to assess a country's economic ability to create and sustain decent employment opportunities with fair and equitable remuneration. Productivity increases obtained through investment, trade, technological progress, or changes in work organization can increase social protection and reduce poverty, which in turn reduce vulnerable employment and working poverty. Productivity increases do not guarantee these improvements, but without them—and the economic growth they bring—improvements are highly unlikely. Please also see GDP per person employed (constant 2011 PPP $) [SL.GDP.PCAP.EM.KD], which is a key measure for monitoring the Sustainable Development Goal 8 of promoting sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all.

Limitations and Exceptions: For comparability of individual sectors labor productivity is estimated according to national accounts conventions. However, there are still significant limitations on the availability of reliable data. Information on consistent series of output is not easily available, especially in low- and middle-income countries, because the definition, coverage, and methodology are not always consistent across countries. For more details, see Agriculture, value added (constant 2010 US$) [NV.AGR.TOTL.KD], Industry, value added (constant 2010 US$) [NV.IND.TOTL.KD], and Services, etc., value added (constant 2010 US$) [NV.SRV.TOTL.KD].

Other Notes: Caution should be used for aggregates (population-weighted averages); world totals can be presented without a large economy such as USA.

Statistical Concept and Methodology: Value added per worker is calculated by dividing value added of a sector by the number employed in the sector. Gross domestic product (GDP) represents the sum of value added by all producers. Value added is the value of the gross output of producers less the value of intermediate goods and services consumed in production, before accounting for consumption of fixed capital in production. The United Nations System of National Accounts calls for value added to be valued at either basic prices (excluding net taxes on products) or producer prices (including net taxes on products paid by producers but excluding sales or value added taxes). Both valuations exclude transport charges that are invoiced separately by producers. Value added by industry is normally measured at basic prices, while total GDP is measured at purchaser prices. Data on employment are modeled estimates by the International Labour Organization (ILO) ILOSTAT database. The concept of employment generally refers to people above a certain age who worked, or who held a job, during a reference period. Employment data include both full-time and part-time workers.

Aggregation method: Weighted average

Base Period: 2010

Periodicity: Annual

Classification

Topic: Economic Policy & Debt Indicators

Sub-Topic: National accounts