Uganda Investment Climate Survey was carried out between November 2002 and April 2003 by the World Bank's Regional Program on Enterprise Development (RPED) in collaboration with the Uganda Manufacturers Association Consultancy and Information Services (UMACIS). The survey covered 392 firms across four sectors (commercial agriculture, construction, manufacturing, and tourism) and three regions (central, northeast, and southwest). The dataset described in this study includes only manufacturing establishments (300 observations).
The questionnaire contained a range of questions on such issues as the production process, cost of inputs, access to finance, types and cost of labor used, and costs incurred in preventing or treating HIV/AIDS.
The Investment Climate Surveys (ICS) were conducted by the World Bank and its partners across all geographic regions and covered firms of all sizes in many industries. The ICS collected a wide array of qualitative and quantitative information through face-to-face interviews with managers and owners regarding the investment climate in their country and the productivity of their firms. Topics covered in the ICS included the obstacles to doing business, infrastructure, finance, labor, corruption and regulation, contract enforcement, law and order, innovation and technology, and firm productivity. Taken together, the qualitative and quantitative data helped connect a country’s investment climate characteristics with firm productivity and performance.
Firm-level surveys have been administered since 1998 by different units within the World Bank. Since 2005-06, most data collection efforts have been centralized within the Enterprise Analysis Unit (FPDEA). Enterprise Surveys, a replacement for Investment Climate Surveys, are now conducted by the Enterprise Analysis Unit.
Kind of Data
Sample survey data [ssd]
Producers and sponsors
Authoring entity/Primary investigators
Uganda Manufacturers Association Consultancy and Information Services
The sample of Ugandan firms was designed as a stratified random sample on the basis of census data from the Uganda Bureau of Statistics.
The sample frame was obtained from the Uganda Bureau of Statistics, which compiled the list during a nationwide census in 2001-2002. The sample frame was stratified by location, manufacturing subsector, and size. To adequately reflect the geographic distribution of firms, three regions were defined on the basis of existing
districts: the central region, which includes the Kampala district; the northeast region; and the southwest region. Similarly, to obtain the correct distribution of activity in manufacturing, nine broad subsectors were defined using the ISIC: agro-industry; chemicals and paints; construction materials; furniture; metals; paper, printing, and publishing; plastics; textiles and leather products; and wood. Finally, to allow comparisons with datasets compiled for other African countries by the Regional Program on Enterprise Development (RPED), three standard size classes were used: small (10-49 employees), medium-size (50-99), and large (100 or more). Clusters were then defined on the basis of the location, size, and sector of firms.
Following the stratification of the sample frame, firms were selected randomly in each cluster. A total sample of 410 firms was drawn, with an overall sampling rate of 28.5 percent. The surveyed sample differs slightly from the drawn sample because of some replacement sampling, but it retains the key characteristics: the importance of firms with 100 or more employees and the prominence of the central region. The surveyed sample includes 392 firms (a sampling rate of 27.2 percent). Firms with 100 or more workers account for about 86 percent of the employment in the sample, and the central region accounts for 66 percent of the enterprises and about 66.5 percent of the employment.
The difference between the theoretical and the surveyed sample is explained by several factors: some firms refused to be interviewed, several firms changed size class (the survey was undertaken about a year after the completion of the census), and some firms either did not exist or had changed their activity. Some of these "missing" firms were replaced with firms with similar or identical characteristics. These replacements replacements from the sample frame were required to be similar in size and to operate in the same sector and the same region.
The manufacturing subsample is the largest component of the overall sample. It includes 300 firms, or about 40 percent of the existing manufacturing firms in the sample frame, and accounts for about 75 percent of the manufacturing employment. This subsample reflects the dominance of the central region and large firms. But it differs slightly from the sample frame in its structure. In the subsample 68 percent of firms are in the central region (compared with 72 percent in the frame) and 19.7 percent of firms have 100 or more employees (compared with 10.6 percent in the frame).
Dates of Data Collection (YYYY/MM/DD)
Mode of data collection
Type of Research Instrument
The current survey instrument is available:
- Investment Climate Survey Questionnaire.
Confidentiality of the survey respondents and the sensitive information they provide is necessary to ensure the greatest degree of survey participation, integrity and confidence in the quality of the data. Surveys are usually carried out in cooperation with business organizations and government agencies promoting job creation and economic growth, but confidentiality is never compromised.
Firm-level data is available to the public free-of-charge. In order to access the data, users must agree to abide by a strict confidentiality agreement available through Enterprise Analysis Unit website by clicking on "External users register here" at https://www.enterprisesurveys.org/Portal
Where necessary please site the source as "Enterprise Analysis Unit - World Bank Group https://www.enterprisesurveys.org"
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.