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

Niger: Value Added (Total Manufacturing) — Value Standard Local Currency was 732,100 million SLC in 2023. ◆ Volatile

Latest (2023)
732,100 million SLC
Change on year
up 8.7%
World rank
65th
of 215 countries
All-time high
732,100 million SLC
in 2023
All-time low
14,123 million SLC
in 1970
Years of data
54
1970–2023

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

0200.0k400.0k600.0k800.0k197019962023

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

Analysis

The most recent figure for value added (total manufacturing) — value standard local currency in Niger is 732,100 million SLC, measured in 2023. That is the highest value across all 54 years on record.

That represents a change of up 8.7% on the previous year and up 76.5% over ten years.

Over the whole period, value added (total manufacturing) — value standard local currency in Niger peaked at 732,100 million SLC in 2023 and was at its lowest, 14,123 million SLC, in 1970.

That places Niger 65th 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 22,632 million SLC 14,123 million SLC 34,513 million SLC 10
1980s 75,706 million SLC 37,526 million SLC 87,571 million SLC 10
1990s 105,829 million SLC 81,140 million SLC 147,121 million SLC 10
2000s 181,694 million SLC 141,749 million SLC 216,755 million SLC 10
2010s 415,154 million SLC 234,245 million SLC 554,801 million SLC 10
2020s 655,471 million SLC 584,639 million SLC 732,100 million SLC 4

Countries ranked near Niger

  1. 62 Sweden 880,750 million SLC compare
  2. 63 Germany 775,842 million SLC compare
  3. 64 Togo 756,855 million SLC compare
  4. 66 Haiti 684,985 million SLC compare
  5. 67 Saudi Arabia 592,034 million SLC compare
  6. 68 Poland 570,105 million SLC compare

See the full ranking of 218 places →

More economy & growth data for Niger

All data for Niger →

Frequently asked questions

What is value added (total manufacturing) — value standard local currency in Niger?
Value added (total manufacturing) — value standard local currency in Niger was 732,100 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 Niger?
The highest recorded value was 732,100 million SLC in 2023.
What is the lowest value added (total manufacturing) — value standard local currency recorded in Niger?
The lowest recorded value was 14,123 million SLC in 1970.
How does Niger rank for value added (total manufacturing) — value standard local currency?
Niger ranks 65th out of 215 countries with data for 2023.
Is value added (total manufacturing) — value standard local currency rising or falling in Niger?
Over the last ten years it is up 76.5%. The long-run trend across the full record is volatile.
Where does this Niger 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).