Value Added (Total Manufacturing) — Value Standard Local Currency in Kenya

Kenya: Value Added (Total Manufacturing) — Value Standard Local Currency was 1.15 million million SLC in 2023. ◆ Volatile

Latest (2023)
1.15 million million SLC
Change on year
up 10.0%
World rank
56th
of 215 countries
All-time high
1.15 million million SLC
in 2023
All-time low
3,184 million SLC
in 1970
Years of data
54
1970–2023

Value Added (Total Manufacturing) — Value Standard Local Currency in Kenya, 1970–2023

0250.0k500.0k750.0k1.0M1.2M197019962023

Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.

Analysis

Kenya recorded 1.15 million million SLC for value added (total manufacturing) — value standard local currency in 2023. That is the highest value across all 54 years on record.

The figure is up 10.0% on the previous year and up 98.3% over ten years.

Over the whole period, value added (total manufacturing) — value standard local currency in Kenya peaked at 1.15 million million SLC in 2023 and was at its lowest, 3,184 million SLC, in 1970.

That places Kenya 56th out of 215 countries with data for 2023, putting it in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

Averages by decade

DecadeAverage LowestHighest Years
1970s 7,397 million SLC 3,184 million SLC 13,826 million SLC 10
1980s 29,035 million SLC 16,315 million SLC 47,286 million SLC 10
1990s 104,989 million SLC 54,587 million SLC 151,068 million SLC 10
2000s 245,724 million SLC 162,650 million SLC 376,468 million SLC 10
2010s 634,566 million SLC 401,509 million SLC 809,253 million SLC 10
2020s 973,253 million SLC 814,328 million SLC 1.15 million million SLC 4

Countries ranked near Kenya

  1. 53 Congo 1.26 million million SLC compare
  2. 54 Benin 1.20 million million SLC compare
  3. 55 Yemen 1.17 million million SLC compare
  4. 57 Serbia 1.14 million million SLC compare
  5. 58 Burundi 1.14 million million SLC compare
  6. 59 Armenia 1.05 million million SLC compare

See the full ranking of 218 places →

More economy & growth data for Kenya

All data for Kenya →

Frequently asked questions

What is value added (total manufacturing) — value standard local currency in Kenya?
Value added (total manufacturing) — value standard local currency in Kenya was 1.15 million million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (total manufacturing) — value standard local currency recorded in Kenya?
The highest recorded value was 1.15 million million SLC in 2023.
What is the lowest value added (total manufacturing) — value standard local currency recorded in Kenya?
The lowest recorded value was 3,184 million SLC in 1970.
How does Kenya rank for value added (total manufacturing) — value standard local currency?
Kenya ranks 56th out of 215 countries with data for 2023.
Is value added (total manufacturing) — value standard local currency rising or falling in Kenya?
Over the last ten years it is up 98.3%. The long-run trend across the full record is volatile.
Where does this Kenya data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Total Manufacturing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 54 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

About this data

Indicator
Value Added (Total Manufacturing) — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
218 places, 10,797 data points, 1970–2023
Last refreshed

The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).