This statistic shows the share of economic sectors in the gross domestic product (GDP) in Namibia from 2013 to 2023. In 2023, the share of agriculture in Namibia's gross domestic product was 7.72 percent, industry contributed approximately 30.02 percent and the services sector contributed about 53.4 percent.

Namibia NA: GDP: % of Manufacturing: Other Manufacturing data was reported at 46.515 % in 2013. This records a decrease from the previous number of 48.330 % for 2012. Namibia NA: GDP: % of Manufacturing: Other Manufacturing data is updated yearly, averaging 48.071 % from Dec 1994 (Median) to 2013, with 8 observations. The data reached an all-time high of 55.993 % in 2007 and a record low of 14.803 % in 1994. Namibia NA: GDP: % of Manufacturing: Other Manufacturing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Namibia – Table NA.World Bank.WDI: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Other manufacturing, a residual, covers wood and related products (ISIC division 20), paper and related products (ISIC divisions 21 and 22), petroleum and related products (ISIC division 23), basic metals and mineral products (ISIC division27), fabricated metal products and professional goods (ISIC division 28), and other industries (ISIC divisions 25, 26, 31, 33, 36, and 37). Includes unallocated data. When data for textiles, machinery, or chemicals are shown as not available, they are included in other manufacturing.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

The Gross Domestic Product (GDP) in Namibia expanded 2.70 percent in the first quarter of 2025 over the same quarter of the previous year. This dataset provides the latest reported value for - Namibia GDP Annual Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Namibia NA: GDP: % of Manufacturing: Textiles and Clothing data was reported at 5.682 % in 2013. This records an increase from the previous number of 5.105 % for 2012. Namibia NA: GDP: % of Manufacturing: Textiles and Clothing data is updated yearly, averaging 4.996 % from Dec 1994 (Median) to 2013, with 8 observations. The data reached an all-time high of 5.682 % in 2013 and a record low of 1.250 % in 1994. Namibia NA: GDP: % of Manufacturing: Textiles and Clothing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Namibia – Table NA.World Bank: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Textiles and clothing correspond to ISIC divisions 17-19.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

Abstract

The survey was conducted in Namibia in June 2006. Data from 329 establishments were analyzed.

The Enterprise Surveys are applied to a representative sample of firms in the non-agricultural economy. The sample is consistently defined in all countries and includes the entire manufacturing sector, the services sector, and the transportation and construction sectors. Public utilities, government services, health care, and financial services sectors are not included in the sample. Enterprise Surveys collect a wide array of qualitative and quantitative information through face-to-face interviews with firm managers and owners regarding the business environment in their countries and the productivity of their firms. The topics covered in Enterprise Surveys include the obstacles to doing business, infrastructure, finance, labor, corruption and regulation, law and order, innovation and technology, trade, and firm productivity.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for countries participating in the Enterprise Surveys is stratified by industry, firm size, and geographic region.

For stratification by industry, the main manufacturing sectors in each country in terms of value added, number of firms, and contribution to employment are selected. The retail trade sector is also included in all countries as a representative of the services sector, and depending on the size of the economy, the information technology (IT) sector is included. The rest of the universe is included in a residual stratum. In Namibia, Manufacturing sector included 106 firms, Retail sector - 110 companies and Other sectors (Residual) - 113 businesses.

Size stratification is defined the following way: small establishments (5 to 19 employees), medium establishments (20 to 99 employees), and large establishments (more than 99 employees).

Regional stratification includes the main economic regions in each country. In Namibia, Walvis Bay and Windhoek were surveyed.

Through this methodology, estimates for the different stratification levels can be calculated on a separate basis while at the same time inferences can be made for the economy as a whole, weighting individual observations by corresponding sample weights. Sample sizes for each stratification level are defined ensuring a minimum precision level of 7.5% with 95% confidence intervals for estimates with population proportions.

For more technical details on the sampling strategy, please review "Sampling Methodology" in "Technical Documents" folder.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Core Questionnaire + Manufacturing Module; - Core Questionnaire + Retail Module; - Core Questionnaire.

Most of the questions in all three questionnaires are the same.

The "Core Questionnaire" is the heart of the Enterprise Survey and contains the survey questions asked of all firms across the world. There are also two other survey instruments - the "Core Questionnaire + Manufacturing Module" and the "Core Questionnaire + Retail Module." The survey is fielded via three instruments in order to not ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, informality, business-government relations, conflict resolution and legal environment, innovation and technology, and performance measures. The questionnaires also assess respondents’ opinions on what are the obstacles to firm growth and performance.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Namibia NA: GDP: % of Manufacturing: Food, Beverages and Tobacco data was reported at 40.515 % in 2013. This records an increase from the previous number of 38.681 % for 2012. Namibia NA: GDP: % of Manufacturing: Food, Beverages and Tobacco data is updated yearly, averaging 39.473 % from Dec 1994 (Median) to 2013, with 8 observations. The data reached an all-time high of 76.580 % in 1994 and a record low of 33.377 % in 2007. Namibia NA: GDP: % of Manufacturing: Food, Beverages and Tobacco data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Namibia – Table NA.World Bank.WDI: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Food, beverages, and tobacco correspond to ISIC divisions 15 and 16.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

Namibia NA: GDP: % of Manufacturing: Chemicals data was reported at 7.288 % in 2013. This records a decrease from the previous number of 7.884 % for 2012. Namibia NA: GDP: % of Manufacturing: Chemicals data is updated yearly, averaging 7.366 % from Dec 1994 (Median) to 2013, with 8 observations. The data reached an all-time high of 7.884 % in 2012 and a record low of 6.702 % in 2007. Namibia NA: GDP: % of Manufacturing: Chemicals data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Namibia – Table NA.World Bank.WDI: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Chemicals correspond to ISIC division 24.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

Abstract

In 2011 the World Bank in collaboration with the Department for International Development (DFID), launched the follow-up survey to the standard World Bank Enterprise Survey (ES) aiming to improve the measurement of innovation in emerging economies and developing countries.

Researchers revisited businesses already interviewed during the ES to collect firm-level data on innovation and innovation related activities, such as product innovation, process innovation, organizational innovation, and marketing innovation.

The objectives of the Innovation Follow-up Survey are: - To provide evidence on nature, role and determinants of innovation in emerging and developing countries; - To generate information that will be used to identify projects and develop policies to promote innovation; - To stimulate systematic policy dialogue on the importance of innovation as a driver of private sector development and economic growth at the global level.

In Namibia, the survey was administered to a subset of ES respondents randomly selected in order to have a final sample of 75% of the original ES; 379 successful interviews were conducted. Business owners and top managers were interviewed from June 2014 through December 2014.

The innovation dataset can be merged with Namibia 2014 Enterprise Survey dataset using the common id variable "idstd".

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is an establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural private economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors. Companies with 100% government ownership are not eligible to participate in the Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

Respondents were randomly selected from a list of establishments interviewed for Namibia 2014 Enterprise Survey. The goal was to have a final sample of 75% of the original businesses.

Mode of data collection

Face-to-face [f2f]

Abstract

The survey was conducted in Namibia between April 2014 and February 2015 as part of Enterprise Surveys roll-out, an initiative of the World Bank. The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

In Namibia, data from 580 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses. The data was collected using face-to-face interviews.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs and labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90 percent of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is an establishment. The establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural private economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors. Companies with 100% government ownership are not eligible to participate in the Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample was selected using stratified random sampling. Two levels of stratification were used in this country: industry and region. The size was not available in the sampling frame for most contacts.

Industry stratification was designed in the way that follows: the universe was stratified into manufacturing industries and two service sectors (retail and other services).

Regional stratification was defined in three regions: Windhoek/Okahandja, Walvis Bay/Swakopmund and Oshakati/Ondangwa/Ongwediva.

For the Namibia ES, a sample frame was built using data compiled from local and municipal business registries. The target sample size was 600 establishments. Establishments with undefined size were included as part of the sample frame in order to ensure a representative sample. Size information collected during the survey process can then be used to categorize these firms.

Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations.

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are available: - Manufacturing Module Questionnaire - Services Module Questionnaire

The survey is fielded via manufacturing or services questionnaires in order not to ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth.

There is a skip pattern in the Service Module Questionnaire for questions that apply only to retail firms.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect "Refusal to respond" (-8) as a different option from "Don't know" (-9). b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.

The number of interviews per contacted establishments was 0.26. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.12

Namibia NA: Level of Water Stress: Freshwater Withdrawal As Proportion of Available Freshwater Resources data was reported at 0.934 Ratio in 2014. Namibia NA: Level of Water Stress: Freshwater Withdrawal As Proportion of Available Freshwater Resources data is updated yearly, averaging 0.934 Ratio from Dec 2014 (Median) to 2014, with 1 observations. Namibia NA: Level of Water Stress: Freshwater Withdrawal As Proportion of Available Freshwater Resources data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Namibia – Table NA.World Bank: Energy Production and Consumption. The level of water stress: freshwater withdrawal as a proportion of available freshwater resources is the ratio between total freshwater withdrawn by all major sectors and total renewable freshwater resources, after taking into account environmental water requirements. Main sectors, as defined by ISIC standards, include agriculture; forestry and fishing; manufacturing; electricity industry; and services. This indicator is also known as water withdrawal intensity.; ; Food and Agriculture Organization, AQUASTAT data.; ;

Namibia NA: CO2 Emissions from Electricity and Heat Production: % of Total Fuel Combustion data was reported at 0.279 % in 2014. This records a decrease from the previous number of 2.326 % for 2013. Namibia NA: CO2 Emissions from Electricity and Heat Production: % of Total Fuel Combustion data is updated yearly, averaging 2.159 % from Dec 1991 (Median) to 2014, with 24 observations. The data reached an all-time high of 14.685 % in 1993 and a record low of 0.000 % in 2002. Namibia NA: CO2 Emissions from Electricity and Heat Production: % of Total Fuel Combustion data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Namibia – Table NA.World Bank.WDI: Environment: Pollution. CO2 emissions from electricity and heat production is the sum of three IEA categories of CO2 emissions: (1) Main Activity Producer Electricity and Heat which contains the sum of emissions from main activity producer electricity generation, combined heat and power generation and heat plants. Main activity producers (formerly known as public utilities) are defined as those undertakings whose primary activity is to supply the public. They may be publicly or privately owned. This corresponds to IPCC Source/Sink Category 1 A 1 a. For the CO2 emissions from fuel combustion (summary) file, emissions from own on-site use of fuel in power plants (EPOWERPLT) are also included. (2) Unallocated Autoproducers which contains the emissions from the generation of electricity and/or heat by autoproducers. Autoproducers are defined as undertakings that generate electricity and/or heat, wholly or partly for their own use as an activity which supports their primary activity. They may be privately or publicly owned. In the 1996 IPCC Guidelines, these emissions would normally be distributed between industry, transport and 'other' sectors. (3) Other Energy Industries contains emissions from fuel combusted in petroleum refineries, for the manufacture of solid fuels, coal mining, oil and gas extraction and other energy-producing industries. This corresponds to the IPCC Source/Sink Categories 1 A 1 b and 1 A 1 c. According to the 1996 IPCC Guidelines, emissions from coke inputs to blast furnaces can either be counted here or in the Industrial Processes source/sink category. Within detailed sectoral calculations, certain non-energy processes can be distinguished. In the reduction of iron in a blast furnace through the combustion of coke, the primary purpose of the coke oxidation is to produce pig iron and the emissions can be considered as an industrial process. Care must be taken not to double count these emissions in both Energy and Industrial Processes. In the IEA estimations, these emissions have been included in this category.; ; IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/; Weighted average; Restricted use: Please contact the International Energy Agency for third-party use of these data.

Key information about South Africa Total Exports to USA

• South Africa Total Exports to USA recorded 521.985 USD mn in Jan 2025, compared with 601.227 USD mn in the previous Dec 2024
• South Africa Total Exports to USA data is updated monthly, available from Jan 1998 to Jan 2025, with an averaged value of 516.767 USD mn
• The data reached an all-time high of 1.463 USD bn in May 2021 and a record low of 99.616 USD mn in Dec 1998

CEIC converts monthly Total Exports to USA into USD. The Department of Trade, Industry and Competition provides Total Exports to USA, FOB, in local currency. Federal Reserve Board average market exchange rate is used for currency conversions. Total Exports to USA prior to January 2009 exclude Botswana, Lesotho, Namibia and Swaziland and prior to January 2007 is sourced from the International Monetary Fund.