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Actual value and historical data chart for Cameroon Labor Force Total
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Cameroon CM: Budgetary Central Government: Revenue: Taxes: Payroll & Workforce data was reported at 0.000 XAF mn in Sep 2017. This stayed constant from the previous number of 0.000 XAF mn for Aug 2017. Cameroon CM: Budgetary Central Government: Revenue: Taxes: Payroll & Workforce data is updated monthly, averaging 0.000 XAF mn from Jan 2017 to Sep 2017, with 9 observations. Cameroon CM: Budgetary Central Government: Revenue: Taxes: Payroll & Workforce data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Cameroon – Table CM.IMF.IFS: Government Finance: Operations Statement.
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This research of registered businesses with one to four employees was conducted in Cameroon from June 1 to Oct. 15, 2009, at the same time with 2009 Cameroon Enterprise Survey. Interviews with 120 establishments were completed. Micro-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, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% 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.
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Data sources: World Health Organization [5]; 2002 AMA Physician Masterfile as per Hagopian et al. [19]; American Medical Association [115].a2002 data were reported by Hagopian et al. [19] except for the numbers of IMGs trained in Cameroon, Tanzania, and Sudan. Their numbers are included in brackets because they are not part of the total counts reported in the last row of the table. These migrants were identified among SSA-IMGs in the 2011 AMA Physician Masterfile who completed residency by 2002. But the number of physicians available in Cameroon, Sudan, and Tanzania in 2002 came from the Hagopian et al. paper. In their dataset, “other” includes 12 countries with “at least one graduate in the US.” In our 2011 dataset, except otherwise specified, “other” refers to the 16 sub-Saharan African countries with fewer than 15 SSA-IMGs each in the 2011 AMA Physician Masterfile. The numbers of physicians in source countries for the year 2011 are from the Global Health Workforce Statistics of the World Health Organization [5]. “Active” emigration rate is the emigration rate among potentially active physicians. We defined all migrant physicians age ≤70 as potentially active.
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TwitterThis research is a survey of unregistered businesses conducted in Cameroon in 2006. Data from 99 informal businesses were analyzed.
The objective of World Bank firm-level surveys is to obtain feedback from enterprises in client countries on the state of the private sector, assess the constraints to private sector growth and create statistically significant business environment indicators that are comparable across countries.
The topics of Informal Surveys include general information about a business, infrastructure and services, sales and supplies, sources and access to finance, business-government relationship, assets, AIDS and sickness, bribery, workforce composition and training, obstacles to get registration, reasons for not registering, and benefits that an establishment could get from registration.
National
Sample survey data [ssd]
Face-to-face [f2f]
The current survey instrument is available: - Informal Questionnaire.
The topics include general information about a business, infrastructure and services, sales and supplies, sources and access to finance, business-government relationship, assets, AIDS and sickness, bribery, workforce composition and training, obstacles to get registration, reasons for not registering, and benefits that an establishment could get from registration.
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TwitterThe study was conducted in Cameroon from June 1 to Oct. 15, 2009, as part of the Enterprise Survey, 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.
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, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% 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. The mode of data collection is face-to-face interviews.
National
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.
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.
Sample survey data [ssd]
The sample for registered establishments in Cameroon was selected using stratified random sampling. Three levels of stratification were used in the Cameroon sample: firm sector, firm size, and geographic region.
Industry stratification was designed as follows: the universe was stratified into one manufacturing industry, one services industry (retail) and one services residual sector. The initial sample design had a target of 120 interviews in manufacturing, 120 interviews in retail and 120 interviews in the services residual categories.
Size stratification was defined following the standardized definition used for the Enterprise Surveys: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent fulltime workers.
Regional stratification was defined in terms of the geographic regions with the largest commercial presence in the country: Littoral (Douala), Centre (Yaoundé) and West (Bafoussam) were the three metropolitan areas selected in Cameroon.
Two frames were used for Cameroon. The first was obtained from the Chamber of commerce of Cameroon (2008). The sample frame collected information for 8000 companies in various sector of activities spread in all the regions of Cameroon. The second frame (the panel sample) consisted of enterprises interviewed for the Enterprise Survey in 2006, which were to be re-interviewed where they were in the selected geographical regions and met eligibility criteria. Both database contained the following information: -Name of the firm -Contact details -ISIC code -Number of employees.
According to the local contractor, the list was not accurate; it was found that many firms listed in the sample frame had wrong names, wrong addresses and phone numbers. There were also few cases of wrong classifications in terms of sector of activity: many firms classified in the sample frame as manufacturing were in reality services. Furthermore, the local implementing agency commented that some companies had wrong information in terms of number of workers.
The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 58.5% (971 out of 1,659 establishments for the ES and micro samples, including panel establishments).
Breaking down by industry, the following numbers of establishments were surveyed: Manufacturing -116, Sector 52 -132, Other Services - 114.
Face-to-face [f2f]
The current survey instruments are available: - Core Questionnaire + Manufacturing Module [ISIC Rev.3.1: 15-37] - Core Questionnaire + Retail Module [ISIC Rev.3.1: 52] - Core Questionnaire [ISIC Rev.3.1: 45, 50, 51, 55, 60-64, 72] - Screener Questionnaire.
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, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% 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.
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.
Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Cameroon Implementation 2009" in "Technical Documents" folder.
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Cameroon CM: Nurses and Midwives: per 1000 People data was reported at 0.650 Ratio in 2022. This records an increase from the previous number of 0.193 Ratio for 2021. Cameroon CM: Nurses and Midwives: per 1000 People data is updated yearly, averaging 0.466 Ratio from Dec 2004 (Median) to 2022, with 10 observations. The data reached an all-time high of 1.549 Ratio in 2004 and a record low of 0.193 Ratio in 2021. Cameroon CM: Nurses and Midwives: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cameroon – Table CM.World Bank.WDI: Social: Health Statistics. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.;World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.;Weighted average;This is the Sustainable Development Goal indicator 3.c.1 [https://unstats.un.org/sdgs/metadata/].
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Actual value and historical data chart for Cameroon Labor Force Total