The 1940 Census Public Use Microdata Sample Project was assembled through a collaborative effort between the United States Bureau of the Census and the Center for Demography and Ecology at the University of Wisconsin. The collection contains a stratified 1-percent sample of households, with separate records for each household, for each "sample line" respondent, and for each person in the household. These records were encoded from microfilm copies of original handwritten enumeration schedules from the 1940 Census of Population. Geographic identification of the location of the sampled households includes Census regions and divisions, states (except Alaska and Hawaii), standard metropolitan areas (SMAs), and state economic areas (SEAs). Accompanying the data collection is a codebook that includes an abstract, descriptions of sample design, processing procedures and file structure, a data dictionary (record layout), category code lists, and a glossary. Also included is a procedural history of the 1940 Census. Each of the 20 subsamples contains three record types: household, sample line, and person. Household variables describe the location and condition of the household. The sample line records contain variables describing demographic characteristics such as nativity, marital status, number of children, veteran status, wage deductions for Social Security, and occupation. Person records also contain variables describing demographic characteristics including nativity, marital status, family membership, education, employment status, income, and occupation. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08236.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

This data set contains a list of Dutch occupations in the period of the 15th-19th century, based on censuses, migration lists, tax registers, etc. Occupations are classified according to an adaptation of the Dutch Census of 1889. A distinction is made between male and female occupations and information about the actual meaning of the occupation name is added. Data are divided in occupational groups, the old and the new codes and the exact title of the occupation.

Abstract

This data set belongs to the first Census of Trade & Services in Sri Lanka that successfully covered the entire island based on field enumeration carried out in two phases from October through November 2003 and from June through December 2006 respectively.

Over the past several decades, initiatives taken by the DCS to launch a Census of Trade & Services covering entire island have been unsuccessful due to unforeseen circumstances beyond its control. However, the DCS has successfully completed the "Census of Trade & Services 2003/2006" in December 2006 covering entire island for the first time in the history of the Census of Trade & Services.

Prior to this census, the DCS had done a Census of Trade & Services and published a report titling " Census of Trade & Services 1996/1999 " in 2003. However, there are differences in coverage and compilation methodology between these two Censuses.

The "Distribution Census" in 1968 was the first ever recorded attempt made to collect information on Trade & Services sector by the DCS. After this, a survey on "Distribution Trade Activities" was undertaken in 1987 in order to collect information on Trade & Services sector. The DCS was not able to cover the entire country of this exercise as expected. Except some information of these efforts of collecting services sector data, no records are available until mid 90s to write a much more complete account of the history of the Census of Trade & Services conducted by the DCS.

The Census of Trade & Service (2003 - 2006) was designed to collect information across the country and to Initiate as much uncovered areas and establishments as possible.

The operation of this Census began along with the listing operation of the Census of Industries which took place in 2003. The Trade & Service establishments of both rural and urban sectors were covered in Northern and Eastern Provinces. However, for the rest of the seven provinces, the DCS was able to list the Trade and Service establishments only in rural areas during the listing operation of the Census of Industries 2003. The Census of Trade and Services of urban sector was resumed in mid 2006 with a view to collect information which had not been collected during the operation of Census of Industries 2003. Polonnaruwa and Moneragala districts were not included in this urban census as those districts do not possess urban areas. These two districts were completely subject to listing under rural sector in the Census of Industries 2003. With the urban sector Census, all urban areas of15 Districts were enumerated for Trade & Service activities.

Geographic coverage

National Coverage

The Census covered the establishments engaged primarily in the following activities in accordance with SLSIC.

Wholesale and retail trade, hotels and restaurants Transport, storage and communications Financial, intermediation, real estate, renting and business activities Pubic administration & defense, compulsory social security, education, health & social work, other community social & personal service activities, repair of motor vehicles, motor cycles and personal and household goods

Analysis unit

Establishment (Owner/Person) in charge of the Industrial unit.

(The recommended ststistical unit used in Census of Industries 2003 was the establishment. Hence the same concept was used for the Census of Trade and Services)

Universe

Establishment : This census needs following characteristics in order to be qualified as an establishment.

             Availability of its own trade or service facilities
             Maintaining ofaccounts pertaining to the establishment
              Availability of distinct management and suitable location

Statistical Unit : The statistical unit is the entity for which the required items of data are gathered and compiled. The recommended statistical unit used in Census of Industries 2003 was the establishment. Hence, the same concept was used for the Census of Trade & Services.

No. of Persons Engaged : This is defined as the total number of persons who work in or for the establishment including working proprietors, active partners and unpaid family workers.

ISlC Revision 3 : This is a manual called International Standard Industrial Classification of All Economic Activities (Revision 3) which has been prepared by the UN in order to be used for coding and classifying all sectors of the economy. In order to match the Sri Lankan context a national code list titling "SRI LANKAN STANDARD INDUSTRIAL CLASSIFICATION" (SLSIC) was prepared by the DCS, based on the UN manual (series M No.4, Rev. 3) of ISIC.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

The Items Covered in the Questionnaire were:

        Name of the establishnlent
        Location of the establishment
        Contact person's telephone number
        Commencement of the commercial operation
        Description of activity/ activities
        No of persons engaged

Abstract

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

In any society, the human element represents the basis of the work force which exercises all the service and production activities. Therefore, it is a mandate to produce labor force statistics and studies, that is related to the growth and distribution of manpower and labor force distribution by different types and characteristics.

In this context, the Central Agency for Public Mobilization and Statistics conducts "Quarterly Labor Force Survey" which includes data on the size of manpower and labor force (employed and unemployed) and their geographical distribution by their characteristics.

By the end of each year, CAPMAS issues the annual aggregated labor force bulletin publication that includes the results of the quarterly survey rounds that represent the manpower and labor force characteristics during the year.

----> Historical Review of the Labor Force Survey:

1- The First Labor Force survey was undertaken in 1957. The first round was conducted in November of that year, the survey continued to be conducted in successive rounds (quarterly, bi-annually, or annually) till now.

2- Starting the October 2006 round, the fieldwork of the labor force survey was developed to focus on the following two points: a. The importance of using the panel sample that is part of the survey sample, to monitor the dynamic changes of the labor market. b. Improving the used questionnaire to include more questions, that help in better defining of relationship to labor force of each household member (employed, unemployed, out of labor force ...etc.). In addition to re-order of some of the already existing questions in much logical way.

3- Starting the January 2008 round, the used methodology was developed to collect more representative sample during the survey year. this is done through distributing the sample of each governorate into five groups, the questionnaires are collected from each of them separately every 15 days for 3 months (in the middle and the end of the month)

----> The survey aims at covering the following topics:

1- Measuring the size of the Egyptian labor force among civilians (for all governorates of the republic) by their different characteristics. 2- Measuring the employment rate at national level and different geographical areas. 3- Measuring the distribution of employed people by the following characteristics: gender, age, educational status, occupation, economic activity, and sector. 4- Measuring unemployment rate at different geographic areas. 5- Measuring the distribution of unemployed people by the following characteristics: gender, age, educational status, unemployment type "ever employed/never employed", occupation, economic activity, and sector for people who have ever worked.

The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing labor force surveys in several Arab countries.

Geographic coverage

Covering a sample of urban and rural areas in all the governorates.

Analysis unit

1- Household/family. 2- Individual/person.

Universe

The survey covered a national sample of households and all individuals permanently residing in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

----> Sample Design and Selection

The sample of the LFS 2011 survey is a self-weighted two-stage stratified cluster sample. The main elements of the sampling design are described as follows:

----> Sample Size The sample size in each quarter is 23,864 households with a total number of 95,456 households annually. These households are distributed on the governorate level (urban/rural), according to the estimated number of households in each governorate in accordance with the percentage of urban and rural population in each governorate.

----> Cluster size The cluster size is 19 households.

----> Sampling stages:

 A- First stage sample

 (1) Primary Sampling Unit (PSU):

The 2006 Population Census provided sufficient data at the level of the Enumeration Area (EA). Hence, the electronic list of EA's represented the frame of the first stage sample; in which the corresponding number of households per EA was taken as a measure of size. The size of an EA is almost 200 households on average, with some variability expected. The size of first stage national sample was estimated to be 5,024 EA.

 (2) Sample Distribution by Governorate:

The primary stratifying variable is the governorate of residence, which in turn is divided into urban and rural sub-strata, whenever applicable.

 (3) First Stage Sample frame:

The census lists of EAs for each substratum, associated with the corresponding number of households, constitute the frame of the first stage sample. The identification information appears on the EA's list includes the District code, Shiakha/Village code, Census Supervisor number, and Enumerator number. Prior to the selection of the first stage sample, the frame was arranged to provide implicit stratification with regard to the geographic location. The urban frame of each governorate was ordered in a serpentine fashion according to the geographic location of kism/ district capitals. The same sort of ordering was made on the rural frame, but according to the district location. The systematic selection of EA's sample from such a sorted frame will ensure a balanced spread of the sample over the area of respective governorates. The sample was selected with Probability Proportional to Size (PPS), with the number of census households taken as a Measure of Size (MOS).

 (4) Core Sample allocation

The core sample EAs (5,024) were divided among the survey 4 rounds, each round included 1,256 EAs (573 in urban areas and 683 in rural areas).

 B- Second Stage Sample:

This is the final stage sample and was implemented in 2 stages: 1- Selection of the New sample 2- Selection of the panel sample

A more detailed description of the different sampling stages and allocation of sample across governorates is provided in the Methodology document available among external resources in Arabic.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire design follows the latest International Labor Organization (ILO) concepts and definitions of labor force, employment, and unemployment.

The questionnaire comprises 4 tables in addition to the identification and geographic data of household on the cover page.

----> Table 1- The housing conditions of the households

This table includes information on the housing conditions of the household: - Type of the dwelling, - Tenure of the dwelling (owned/rent) , - Availability of facilities and services connected to the house - Ownership of durables.

----> Table 2- Demographic and employment characteristics and basic data for all household individuals

Including: gender, age, educational status, marital status, residence mobility and current work status

----> Table 3- Employment characteristics table

This table is filled by employed individuals at the time of the survey or those who were engaged to work during the reference week, and provided information on: - Relationship to employer: employer, self-employed, waged worker, and unpaid family worker - Economic activity - Sector - Occupation - Effective working hours - Health and social insurance - Work place - Contract type - Average monthly wage

----> Table 4- Unemployment characteristics table

This table is filled by all unemployed individuals who satisfied the unemployment criteria, and provided information on: - Type of unemployment (unemployed, unemployed ever worked) - Economic activity and occupation in the last held job before being unemployed - Last unemployment duration in months - Main reason for unemployment

Cleaning operations

----> Raw Data

Office editing is one of the main stages of the survey. It started once the questionnaires were received from the field and accomplished by the selected work groups. It includes: a-Editing of coverage and completeness b-Editing of consistency

----> Harmonized Data

• The SPSS package is used to clean and harmonize the datasets.
• The harmonization process starts with a cleaning process for all raw data files received from the Statistical Agency.
• All cleaned data files are then merged to produce one data file on the individual level containing all variables subject to harmonization.
• A country-specific program is generated for each dataset to generate/ compute/ recode/ rename/ format/ label harmonized variables.
• A post-harmonization cleaning process is then conducted on the data.
• Harmonized data is saved on the household as well as the individual level, in SPSS and then converted to STATA, to be disseminated.

Response rate

92.3% on the national level 86.9% in Urban areas 96.9% in Rural areas

Response rates on the governorate level are presented in the methodology

Number of employees by North American Industry Classification System (NAICS) and type of employee, last 5 years.