aachen-kreis aachen-krfr_-stadt akt_-bruttoanlageninvestitionen-je-bescha_ftigten aktivierte-bruttoanlageinvestitionen bescha_ftigte-am-30_09_ bielefeld-krfr_-stadt bochum-krfr_-stadt bonn-krfr_-stadt borken-kreis bottrop-krfr_-stadt coesfeld-kreis dortmund-krfr_-stadt du_ren-kreis du_sseldorf-krfr_-stadt duisburg-krfr_-stadt ennepe-ruhr-kreis essen-krfr_-stadt euskirchen-kreis gelsenkirchen-krfr_-stadt gesamtumsatz gu_tersloh-kreis hagen-krfr_-stadt hamm-krfr_-stadt heinsberg-kreis herford-kreis herne-krfr_-stadt ho_xter-kreis hochsauerlandkreis jahr jahreserhebung-einschl_-investionserhebung-im-ausbaugewerbe kleve-kreis ko_ln-krfr_-stadt krefeld-krfr_-stadt kreisfreie-sta_dte-und-kreise leverkusen-krfr_-stadt lippe-kreis ma_rkischer-kreis mettmann-kreis minden-lu_bbecke-kreis mo_nchengladbach-krfr_-stadt mu_lheim-an-der-ruhr-krfr_-stadt mu_nster-krfr_-stadt oberbergischer-kreis oberhausen-krfr_-stadt olpe-kreis paderborn-kreis recklinghausen-kreis remscheid-krfr_-stadt rhein-erft-kreis rhein-kreis-neuss rhein-sieg-kreis rheinisch-bergischer-kreis siegen-wittgenstein-kreis soest-kreis solingen-krfr_-stadt sta_dteregion-aachen-einschl_-stadt-aachen steinfurt-kreis unna-kreis unternehmen unternehmen-mit-aktivierten-investitionen verha_ltnis-zum-umsatz-akt_-bruttoanlageninvest_ viersen-kreis warendorf-kreis wesel-kreis wuppertal-krfr_-stadt

Contributions to annual percent change in real gross fixed capital formation.

Explore the Saudi Arabia World Development Indicators dataset , including key indicators such as Access to clean fuels, Adjusted net enrollment rate, CO2 emissions, and more. Find valuable insights and trends for Saudi Arabia, Bahrain, Kuwait, Oman, Qatar, China, and India.

Indicator, Access to clean fuels and technologies for cooking, rural (% of rural population), Access to electricity (% of population), Adjusted net enrollment rate, primary, female (% of primary school age children), Adjusted net national income (annual % growth), Adjusted savings: education expenditure (% of GNI), Adjusted savings: mineral depletion (current US$), Adjusted savings: natural resources depletion (% of GNI), Adjusted savings: net national savings (current US$), Adolescents out of school (% of lower secondary school age), Adolescents out of school, female (% of female lower secondary school age), Age dependency ratio (% of working-age population), Agricultural methane emissions (% of total), Agriculture, forestry, and fishing, value added (current US$), Agriculture, forestry, and fishing, value added per worker (constant 2015 US$), Alternative and nuclear energy (% of total energy use), Annualized average growth rate in per capita real survey mean consumption or income, total population (%), Arms exports (SIPRI trend indicator values), Arms imports (SIPRI trend indicator values), Average working hours of children, working only, ages 7-14 (hours per week), Average working hours of children, working only, male, ages 7-14 (hours per week), Cause of death, by injury (% of total), Cereal yield (kg per hectare), Changes in inventories (current US$), Chemicals (% of value added in manufacturing), Child employment in agriculture (% of economically active children ages 7-14), Child employment in manufacturing, female (% of female economically active children ages 7-14), Child employment in manufacturing, male (% of male economically active children ages 7-14), Child employment in services (% of economically active children ages 7-14), Child employment in services, female (% of female economically active children ages 7-14), Children (ages 0-14) newly infected with HIV, Children in employment, study and work (% of children in employment, ages 7-14), Children in employment, unpaid family workers (% of children in employment, ages 7-14), Children in employment, wage workers (% of children in employment, ages 7-14), Children out of school, primary, Children out of school, primary, male, Claims on other sectors of the domestic economy (annual growth as % of broad money), CO2 emissions (kg per 2015 US$ of GDP), CO2 emissions (kt), CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion), CO2 emissions from transport (% of total fuel combustion), Communications, computer, etc. (% of service exports, BoP), Condom use, population ages 15-24, female (% of females ages 15-24), Container port traffic (TEU: 20 foot equivalent units), Contraceptive prevalence, any method (% of married women ages 15-49), Control of Corruption: Estimate, Control of Corruption: Percentile Rank, Upper Bound of 90% Confidence Interval, Control of Corruption: Standard Error, Coverage of social insurance programs in 4th quintile (% of population), CPIA building human resources rating (1=low to 6=high), CPIA debt policy rating (1=low to 6=high), CPIA policies for social inclusion/equity cluster average (1=low to 6=high), CPIA public sector management and institutions cluster average (1=low to 6=high), CPIA quality of budgetary and financial management rating (1=low to 6=high), CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high), Current education expenditure, secondary (% of total expenditure in secondary public institutions), DEC alternative conversion factor (LCU per US$), Deposit interest rate (%), Depth of credit information index (0=low to 8=high), Diarrhea treatment (% of children under 5 who received ORS packet), Discrepancy in expenditure estimate of GDP (current LCU), Domestic private health expenditure per capita, PPP (current international $), Droughts, floods, extreme temperatures (% of population, average 1990-2009), Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative), Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative), Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative), Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative), Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative), Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative), Electricity production from coal sources (% of total), Electricity production from nuclear sources (% of total), Employers, total (% of total employment) (modeled ILO estimate), Employment in industry (% of total employment) (modeled ILO estimate), Employment in services, female (% of female employment) (modeled ILO estimate), Employment to population ratio, 15+, male (%) (modeled ILO estimate), Employment to population ratio, ages 15-24, total (%) (national estimate), Energy use (kg of oil equivalent per capita), Export unit value index (2015 = 100), Exports of goods and services (% of GDP), Exports of goods, services and primary income (BoP, current US$), External debt stocks (% of GNI), External health expenditure (% of current health expenditure), Female primary school age children out-of-school (%), Female share of employment in senior and middle management (%), Final consumption expenditure (constant 2015 US$), Firms expected to give gifts in meetings with tax officials (% of firms), Firms experiencing losses due to theft and vandalism (% of firms), Firms formally registered when operations started (% of firms), Fixed broadband subscriptions, Fixed telephone subscriptions (per 100 people), Foreign direct investment, net outflows (% of GDP), Forest area (% of land area), Forest area (sq. km), Forest rents (% of GDP), GDP growth (annual %), GDP per capita (constant LCU), GDP per unit of energy use (PPP $ per kg of oil equivalent), GDP, PPP (constant 2017 international $), General government final consumption expenditure (current LCU), GHG net emissions/removals by LUCF (Mt of CO2 equivalent), GNI growth (annual %), GNI per capita (constant LCU), GNI, PPP (current international $), Goods and services expense (current LCU), Government Effectiveness: Percentile Rank, Government Effectiveness: Percentile Rank, Lower Bound of 90% Confidence Interval, Government Effectiveness: Standard Error, Gross capital formation (annual % growth), Gross capital formation (constant 2015 US$), Gross capital formation (current LCU), Gross fixed capital formation, private sector (% of GDP), Gross intake ratio in first grade of primary education, male (% of relevant age group), Gross intake ratio in first grade of primary education, total (% of relevant age group), Gross national expenditure (current LCU), Gross national expenditure (current US$), Households and NPISHs Final consumption expenditure (constant LCU), Households and NPISHs Final consumption expenditure (current US$), Households and NPISHs Final consumption expenditure, PPP (constant 2017 international $), Households and NPISHs final consumption expenditure: linked series (current LCU), Human capital index (HCI) (scale 0-1), Human capital index (HCI), male (scale 0-1), Immunization, DPT (% of children ages 12-23 months), Import value index (2015 = 100), Imports of goods and services (% of GDP), Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24), Incidence of HIV, all (per 1,000 uninfected population), Income share held by highest 20%, Income share held by lowest 20%, Income share held by third 20%, Individuals using the Internet (% of population), Industry (including construction), value added (constant LCU), Informal payments to public officials (% of firms), Intentional homicides, male (per 100,000 male), Interest payments (% of expense), Interest rate spread (lending rate minus deposit rate, %), Internally displaced persons, new displacement associated with conflict and violence (number of cases), International tourism, expenditures for passenger transport items (current US$), International tourism, expenditures for travel items (current US$), Investment in energy with private participation (current US$), Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate), Development

Saudi Arabia, Bahrain, Kuwait, Oman, Qatar, China, India Follow data.kapsarc.org for timely data to advance energy economics research..

Part one: macro economic time series. OECD national accounts (cu=current prices, co=constant prices): gross domestic product cu/co / private consumption cu/co / increase in stocks cu/co / gross fixed capital formation cu/co / consumption of fixed capital cu / imports cu/co / exports cu/co / compensation of employees cu / operating surplus cu / net indirect taxes cu. OECD labour force statistics: number of unemployed / civilian employment / employment in manufacturing / total labour force / number of employees / unemployment percentage. ILO yearbook of labour statistics: average hourly earnings in manufacturing / weekly hours actually worked in manufacturing. IMF international financial statistics: exchange rate with us dollar / consumer price index / percentage change in money and quasi-money / percentage change in money stock / money supply index. UN industrial statistics: unit value of world manufacturing exports (us dollar) / Grubb, Jackman, Layard ( 1982 ): trend productivity growth (1957-80) (NETH, US) / trend productivity level (1960-80) (NETH)/ unit value of world manufacturing exports (dollar) (NETH) / productivity level index (1957-80) (US). Netherlands only, monthly social statistics: minimum wage (dfl per week) / total wages and salaries for employees. Netherlands only, national accounts: total social security contributions by employers / total unemployment benefits / total employment volume (self-employed+employees) / total employee employment volume . Netherlands only, central economic plan: netto investments in fixed activa of firms / gross national product in factorcosts in firms / gross national product in firms (mp-cp 1980) / BTW firms (excl dlfst) fk-lp / employment costs in firms (excl dlfst.) (cu) / employmentvolume in firms (excl dlfst.) / employmentvolume employees in firms (excl dlfst.) / total wage bill / social security benefits / pension and life insurance benefits / direct taxes (tb) / social security premiums / pension and life insurance premiums. United States only: coefficient of variation in labour costs (1960-83) federal minimum wage per hour in dollars (1960-83) ( staus ). Part two: meso-economic time series. compensation per employee and number of wage earners per economic sector/branche. Netherlands only: sectoral rwg data cbs / ilo en cpb: BTW in market prices / BTW in factor costs / wages and social premiums / implicit deflator btwfk / total employment volume / employment volume wage-earners / labour-hours per week / gross incomes per hour (sector classification Muysken en Nijkamp (1984)).

134 views (4 recent) Economic data on forestry and logging, physical and monetary data on supply and use of wood, and employment data. Aggregates include output, intermediate consumption, gross value added, fixed capital consumption, gross fixed capital formation and different measures of income of forestry and logging. The data are in current basic prices and use the concepts and definitions of National Accounts. They are collected as part of European Forest Accounts (EFA), which also covers wooded land, timber, output of the forestry industry by type, and labour input in annual work units (AWU). Employment data from Eurostat's Labour Force Survey (LFS) are presented as well, covering estimates of the number of employees in forestry and logging, the manufacture of wood and products of wood and cork, the manufacture of paper and paper products, and the manufacture of furniture. There are two separate tables because of the change in the EU's classification of economic activities from NACE Rev. 1.1 to NACE Rev. 2 in 2008. EU Member States, EFTA countries, the UK and selected candidate countries. Data for France cover only mainland France without the overseas territories and dominions French Guyana, Guadeloupe, Martinique, Réunion or Mayotte. Data collection is carried out by NSIs and research institutes working on their behalf. See a 2018 presentation for a full list of sources. https://circabc.europa.eu/faces/jsp/extension/wai/navigation/container.jsp

Abstract copyright UK Data Service and data collection copyright owner.

The Globalisation Statistics database contains figures on foreign affiliates (inward investment) by investing country in the manufacturing sector covering variables such as number of enterprises, total employees, gross output, imports/exports, gross fixed capital formation and Research and Development expenditures and also presents data on inward and outward investment for services.

Measuring Globalisation is split into a number of datasets:

Activity of Multinationals in Manufacturing and Activity of Multinationals in services: provide comprehensive data on the industrial activity (manufacturing, service) of multinationals in OECD. It covers variables such as production, employment, research and trade, inward as well as outward investment. It also includes some international trade indicators that provide cross-disciplinary background information.

Maritime Transport Costs: this comparative table includes statistics on bilateral maritime transport costs for 43 importing countries including EU15 countries as a custom union and 218 countries of origin at the detailed commodity 6 digit level of the Harmonised System 1988. The table is further broken down by type of goods (agriculture, raw materials, crude oil, manufacturing), commodity (oil seed, vegetable, organic chemicals), transport cost measures (ad valorem transport, unit transport cost) and transport mode (containers, dirty bulk). Data are available from 1991 onwards.

Trade by Enterprise Characteristics (TEC) database: contains international annual trade data broken down in different categories of enterprises. It aims to provide a solid basis for analysts who explore in the context of globalisation the characteristics of trade actors.

These data were first provided by the UK Data Service in March 2004.

Main Topics:

The database covers:

• economic indicators
• manufacturing industries
• industrial economics
• industrial enterprises
• foreign investment
• service industries
• international economics
• economic integration

Data source: Statistics Canada, Environment, Energy and Transportation Statistics Division, National Economic Accounts Division. This account provides jobs estimates on environmental and clean technology goods and services production. Examples of those goods and services are listed in the Reference Guide 16-511-x." Totals may not add due to rounding. This table is published at the link 1961 level of the input-output tables. The input-output tables are built around three classification systems: the Input-Output Industry Classification (IOIC) for industries, the Input-Output Commodity Classification (IOCC) for products (goods and services) and the Input-Output Final Demand Classification (IOFDC) for final demand categories. The Input-Output Industry Classification (IOIC) is based on the North American Industry Classification System (NAICS) and the Input-Output Commodity Classification (IOCC) is based on the North American Products Classification System (NAPCS). The Input-Output Final Demand Classification is based on the Classification of Individual Consumption by Purpose (COICOP) for the personal expenditure categories and the North American Industry Classification (NAICS) for the gross fixed capital formation categories. The classifications of the Input-Output tables can be found at the following link http://www.statcan.gc.ca/nea-cen/hr2012-rh2012/data-donnees/aggregation-agregation/aggregation-agregation-eng.htm. The alphanumeric codes appearing in square brackets beside each industry title represent the Input-Output Industry Classification (IOIC) codes. The IOIC identifies both institutional sectors and industries based on the North American Industry Classification System (NAICS). The first two characters of the IOIC alphanumeric codes represent the sector. IOIC codes beginning with a BS represent business sector industries, codes beginning with an NP represent Non-Profit Institutions Serving Household (NPISH) sector industries, and codes beginning with a GS represent government sector industries. Data for 2007 to 2014 were revised in December 2018.

Abstract copyright UK Data Service and data collection copyright owner.

During 1998, in line with other European Union (EU) member states, the UK adopted the new European System of Accounts (ESA 95), to be used by the Office for National Statistics (ONS) for the production of financial data. In September 1998 the UK National Accounts were published for the first time using ESA95. Under this system, ONS is required to compile more detailed regional economic information than was previously the case and now produces regional Gross Value Added (GVA - formerly Gross Domestic Product or GDP, to which some series still refer), regional Household Accounts and regional Gross Fixed Capital Formation. Most Regional Accounts data are now consistent with ESA95 - users should refer to the information in the 'Main Topics' section below, and the documentation.
Regional Accounts data are compiled mainly from the UK National Accounts (Blue Book), the New Earnings Survey (NES) and the Annual Business Inquiry (ABI 2).

For the 8th edition (December 2002), data files covering Gross Value Added (GVA - formerly GDP) by GOR, Industry, Manufacturing Class and other tables were added to the dataset. On 10th December 2002, however, ONS withdrew the 8th edition GVA data files, due to errors discovered in the data.


Main Topics:

PART I: Regional Gross Value Added (GVA - formerly GDP) up to 1998/1999 - European System of Accounts 1995 (ESA95) basis.
Files:
1. GVA by Government Office Region (GOR) 1989-1999: file gvagor8999 (withdrawn - see 'Abstract' section for details).
2. GVA by industry 1989-1999: file gvaind8999 (withdrawn).
3. GVA by manufacturing class 1989-1999: file gvamanclass8999 (withdrawn).
4. GVA 1989-1999 (various tables): file gva8999 (withdrawn).
5. Compensation of Employees (COE) by industry 1989-1998: file indcomp8998.
6. Compensation of Employees (COE) by manufacturing class 1989-1998: file compcls8998.
Due to the withdrawal of GVA data, the following GDP data are also available, but users should bear in mind the age of these data when conducting analysis:
1. GDP by GOR 1989-1999: file gpdgor8999.
2. GDP by Industry 1989-1998: file gdpind8998.
3. GDP by Manufacturing Class 1989-1998: file gpdmancls8998.

PART II: ESA95 Regional household (total and disposable) income up to 1999, consumption expenditure up to 1999.
Files:
1. Regional household income (total and disposable) basic breakdown of income type 1989-1999 by GOR: file hhacc8999.
2. Individual Consumption Expenditure by GOR 1994-1999: file ice32gor9499.

There is no longer a PART III.

PART IV: Regional GDP, by factor of income and by industry, up to 1996; county GDP and GDFCF up to 1995.
Files
1. GDP by factor income by SSR 1971-1996 and by GOR 1984-1996: files gdpssr7196 and gdpgor8496.
2. GDP by county for selected years between 1977-1996: file gdpcty7796.
3. GDP by industry by SSR 1982-1996: file gdpind8296. Users should note that ONS have advised the UK Data Archive that the data in this file are no longer published by ONS, and are useful for historic purposes only.
4. GDP by manufacturing class by SSR 1982-1995: file gdpmancls8295 - again these data are no longer published by ONS, and are of historic use only.
5. Income from Employment (IFE) by industry by SSR 1982-1996: file ifeind.
6. Income from employment by manufacturing class by SSR 1982-1995: file ifecls.

PART V: ESA79 Regional household and personal (total and disposable) income and consumers' expenditure up to 1996.
Files:
1. Household income (total and disposable by GOR 1984-1996 and by SSR 1984-1996: files hhsougor and hhsoussr.
2. Household income (total and disposable) by county 1984-1995: file hhinc.
3. Personal income (total and disposable) by GOR 1984-1996 and by SSR 1971-1996: files perincg and perincs.xls
4. Consumers' Expenditure by SSR 1971-1996 and by GOR 1994-1996: files cons32 and consgor.

PART VI: Local area gross domestic product.
1. Figures for 1993-1998 on new NUTS regional basis: file gdpn23.
2. Estimates for old administrative counties of England (first made available June 2001): file admcty.

File regsublochhd contains regional, sub-regional and Local Area Household Accounts, and includes the following tables:
Table 1: Total Household Income1 by Region (NUTS1) 1995-1999.
Table 2: Gross Disposable Household Income by Region (NUTS1) 1995-1999.
Table 3: Total Household Income by NUTS 1 & 2 Areas.
Table 4: Gross Disposable Household Income by NUTS 1 & 2 Areas.
Table 5: Gross Disposable Household Income - Components, NUTS 1 & 2: 1995.
Table 6: Gross Disposable Household Income1 - Components, NUTS3.
Table 7: Total Household Income1 - Components, NUTS3.

For additional information and definitions related to the financial performance variables, refer to Financial and Taxation Statistics for Enterprises (opens new window)." For additional information and definitions related to the total number of jobs, refer to http://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&SDDS=5103" rel="external noopener noreferrer" target="_blank">Labour Productivity Measures - Provinces and Territories (Annual) (CPA) (opens new window)." For additional information and definitions related to merchandise imports, refer to Trade by Importer Characteristics - Goods (TIC) program (opens new window)." For additional information and definitions related to merchandise domestic exports, refer to Trade by Exporter Characteristics - Goods (TEC) program (opens new window)." For additional information and definitions related to trade in commercial services, refer to Canada's International Transactions in Services survey (opens new window)." Round-tripping refers to cases where the country of the immediate investor is foreign but the country of the ultimate investor is Canada. Due to the consolidated financial reporting requirement, this population may be under estimated. The ultimate based ownership is defined as the country of residence of the ultimate investor and gives information about who controls the foreign multinational enterprise. Goods producing industries (11-33) includes the following sectors: agriculture, forestry, fishing and hunting (11), mining, quarrying, and oil and gas extraction (21), utilities (22), construction (23) and manufacturing (31-33). Service producing industries (41-81) includes the following industries: wholesale trade (41), retail trade (44-45), transportation and warehousing (48-49), information and cultural industries (51), finance and insurance (52), real estate and rental and leasing (53), professional, scientific and technical services (54), management of companies and enterprises (55), administrative and support, waste management and remediation services (56), educational services (61), health care and social assistance (62), arts, entertainment and recreation (71), accommodation and food services (72) and other services (except public administration) (81). Some of the corporations in the NAICS sector 55 (Management of companies and enterprises) are not in a consolidated corporate structure, which can lead to double counting of certain financial balance sheet measures of affiliates operations, e.g. assets, liabilities and equity. Intramural, or In-house R&D" refers to expenditures made within Canada for R&D performed on-site or within an organization's establishment. For additional information and definitions refer to Annual Survey of Research and Development in Canadian Industry (RDCI) (opens new window)." Personnel is measured in full-time equivalent (FTE). Full-time equivalent or a person-year is equal to number of persons who work solely on research and development projects and an estimate of time of persons working only part of their time on research and development. For additional information and definitions refer to Annual Survey of Research and Development in Canadian Industry (RDCI) (opens new window)." These concern payments and receipts made by enterprises in respect of foreign purchases of patents (sale or licensing) and unpatented inventions, know-how, trademarks, designs and patterns, technical services, industrial R&D carried out abroad, and foreign sources of funds for intramural R&D projects. Other goods producing industries includes the following sectors: agriculture, forestry, fishing and hunting (11), and utilities (22). Other service producing industries includes the following industries: information and cultural industries (51), educational services (61), health care and social assistance (62), arts, entertainment and recreation (71), accommodation and food services (72), and other services (except public administration) (81). Canada's total gross domestic product (GDP) at basic prices, also known as value added Figures may not add up due to rounding. The Research and Development in Canadian Industry (RDCI) survey was redesigned for reference year 2014. As a result, comparisons between 2014 and prior years should be done with caution. Gross fixed capital formation is disaggregated by multinational status using microdata from multiple programs. Machinery and equipment, non-residential construction, and software (a component of intellectual property) use capital expenditure data from the Annual Capital Expenditure Survey (record number 2803 (opens new window)) The universe used in the compilation of financial variables covers most enterprises, except partnerships, in the corporate sector. Data on the Activities of Multinational Enterprises in Canada for 2023 are preliminary. Select activities, including: number of jobs, merchandise trade and gross fixed capital formation are available for this reference year. Quality improvements in assigning characteristics to a universe of enterprises engaged in trade in services exports and imports have been undertaken since reference year 2019. As a result, comparisons between 2019 and prior years should be done with caution.

Bauhauptgewerbe: Unternehmen, Beschäftigte, Entgelte,Gesamtumsatz und Bruttoanlageinvestitionen nachWirtschaftsgruppen der WZ 2008 - Land - Jahr (2008-2013)

Abstract

Data on Distributive and Service Trade is required for a variety of puroses. One of the most important is, to provide a basis for assessing trends in the economy, i.e. to examine changes in sectoral distribution and the growth of the sector itself. For this purpose, annual and more frequent survey estimates on the contribution of this sector to the national economy and the growth of the sector is crucial. More specifically, sales of goods and services within the sector, to producers/agriculture and industry and final consumers; changes in stocks, fixed capital formation /capital investment/ and wages and salaries earned in the sector would provide useful indicators on the activity, structural distribution and trends of the sector. Comprehensive data on Distributive and Service Trade broken down by activity is required in building up indexes of wholesale and retail trades, which are important indicators of business activity.

The Distributive and Service Trade Enterprise Survey was conducted to: i) Obtain information on the number and geographic distribution (i.e. at major regional capitals and other urban level) of distributove and service trade enterprise, ii) Assess the share of this sector on the economic situation of towns/cities, iii) Estimate the number of persons engaged in this sector, iv) Obtain data on the type and flow of goods and services in order to allow policy information or policy change to strengthen the sector, v) To get estimates on the contribution of the distributive trade and services to gross domestic product (GDP), vi) To make comparison with baseline survey of Distributive and Service Trade, vii) Obtain estimates of the values of the sector in terms of various economic measures (i.e. gross value of income, value added, operating surplus, investment, etc...), viii) To ger information on the effects of the existing economix policies on this sector, ix) Obtain data on the makor problems and constraints faced by the owners of enterprises/establishments in the sector, and x) Obtain data that could be helpful in formulating socio-economic plans and programmes.

Geographic coverage

The survey covered only urban parts of the country. Eleven regional capitals (including Addis Ababa and Dire Dawa), four major urban centers and seventy-three other selected urban centers were included in the survey.

Analysis unit

Enterprise (Distributive and Service Trade)

Universe

The Distributive and Service Trade Survey is confined in selected urban parts of the country.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design For the purpose of the survey, taking in to account of their population and expected distribution of trade and service enterprise, urban areas of the country were divided in to the following two broad categories.

Category I: Eleven regional capitals and four major urban centers of the country were grouped in this category. Each of them is considered to be the survey domain (reporting level) for which separate results for major survey characterstics were reported.

A two-stage stratified cluster sample design was used to select the sample in which the primary sampling units (PSUs) were enumeration areas (EAs). Sampling units from each domain were selected using systematic probability proportional to size; size being number of trade enterprise obtained from the 1994 Population and Housing Census. For each sampled EA a fresh list of housing units was prepared to identify trade enterprises eligible for the survey. Enterprises were further classified in to three groups,, namely, wholesale trade, retail trade and service enterprises. All wholesale trade enterprises found in the sampled EAs were covered by the survey. On the other hand in those EAs where the number of retail trade and service enterprises found were less or equal to 30, all of them were covered by the survey. However, if the number of retail trade and service enterprises of an EA exceeded 30, the survey questionnaire was administered only for 30 of them.

Category II: This category consists of eight domains (reporting levels) of urban centers that are not included in the first category, namely, i) Tigray othr urban ii) Afar other urban iii) Amhara other urban iv) Oromia other urban v) Somali other urban vi) Benishangul-Gumuz other urban vii) SNNPR other urban viii) Gambella other urban

A three- stage stratified cluster sample design was adopted to select the sample from domains in category II. The PSUs were urban centers selected using systematic probability proportional to size; size being number of trade enterprises obtained from the 1994 Population and Housing Census. The secondary sampling units were EAs that were selected using systematic probability proportional to size; size being number of trade enterprises prepared at the begining of the survey's fieldwork. Every wholesale trade, all retail trade and service enterprises (in EAs where the number of retail trade and service enterprises found is less or equal to 30) and only 30 systematically sampled retail trade and service enterprise (from the listing of each EA that have more than 30 retail trade and service enterprises) were considered lastly and the survey questionnaire administered only to them.

Besides, required samples for Harari, Dir Dawa and Addis Ababa are entirely selected from Harar, Dire Dawa and Addis Ababa urban centers, respectively. Therefore, excluding these regions eight additional domains (reporting levels for the entire region) could be defined by merging domains of the above two categories. They were, a) Urban Tigray b) Urban Afar c) Urban Amhara d) Urban Oromia e) Urban Somali f) Urban Benishangul-Gumuz g) Urban SNNP h) Urban Gambella

Including country level (total urban) all in all thirty-two domains were defined fro the survey.

Mode of data collection

Face-to-face [f2f]

Research instrument

The Urban Distributive and Service Trade Establishments Survey questionnaire contains the following section (parts):

Section 1: Identification particulars of the distributive/service trade establishment : This section has variables that use to identify each questionnaire uniquely.

Section 2: Basic information of the establishment: This section contains variables that have basic information about the establishments like, type of sector, type of ownership, number of owners by sex, aabout the establishment's book of accounts, etc...

Section 3.1: Number of persons engaged during the year: This section contains questions that are related to establishments employees number by employment status.

Section 3.2: Wages, salary and other employee benefits paid in Birr: This section contains questions related to employees wages, salary, and other employees benefits paid by employment status.

Section 3.3: Number of permanent employees at the end of the year by salary group: This section has information about the employees by their salary groups.

Section 4.1: Income from commodity sales/trade in service during the year: In this section information about income that comes from commodity sales/trade by type of commodity/service is collected.

Section 4.2: Miscellaneous income during the year: In this section income from different source like, interest, commission, rent income from machinery, share dividend, insurance (if received in cash), other income including donations are collected.

Section 4.3: Income from bedrooms and other recreational service in Birr: In this section income from bedrooms and recreational services like Sauna bath, cinema/theatre, sport facilities, night club and other recreationa service were collected.

Section 5.1: Expenses for the purchase of goods/commodities for sale, during the year: In this section expenses like, from wholesalers, from producers, from retailers, from other by months covered were collected.

Section 5.2: Micellaneus expenses during the year: In this section other expenses like, electric bill, energy, water, minor repair and maintenance, house rent, machinery and other fixed assets rent, advertisement, satationary and packing materials, telephone bill, accounting audit and legal services, transport, insurance premium, commission, banking service, interest paid, personal consumption and different kind of taxes were collected.

Section 6.1: Commodity stock value: In this section value of stock (goods for sale, pther stock like fule, packing materials, etc..) was collected.

Section 6.2: Payable and receivable money: In this section information about debt and receivable money were collected.

Section 7.1. Type and value of fixed assets: This section has questions related to fixed assets of the establishment.

Section 7.2. Annual investment by type and Source: This section has questions related to investment on fixed assets and working capitals.

Section 8: Problems and future plans of the establishment: In this section information about establishment's problems and operational plans were collected.

Cleaning operations

Data Processing a) Editing, Coding and Verification In order to attain the required level of quality of data, various quality control mechanisms were applied on the different stages of the survey activities. Classroom as well as practical training to the field staff was one of the mechanisms used. The other step taken to control the quality of the survey data was preparing a detailed and clear editing and coding instruction manual. usin this manual, editors and verfiers were given training for three days. Then, the filled in quesionnaires were manually edited