To fulfill National Standard 8 of the Magnuson-Stevens Fishery Conservation and Management Act, the Northwest Fisheries Science Center is collecting economic data in seven U.S. coastal communities. The data is collected via voluntary mail surveys of locally operated businesses and resident households. Data collected from these groups will focus on determining the impact of marine resources on local economies. The data will be used to construct regional economic models to analyze the economic impacts of fishery management alternatives, and to investigate the degree of economic dependence on marine resources in the respective communities. Household and business data collected from community economic survey

Commercially available regional economic data for Alaska fisheries [such as IMpact analysis for PLANning (IMPLAN)] are unreliable. Therefore, these data need to be either collected or estimated based on more reliable information. These data have been collected or estimated for important economic variables such as cost, employment, and factor income (labor income and capital) for Alaska fisheries. The data thus collected or estimated have been used to develop regional economic models for Alaska fisheries in order to estimate the economic impacts of Alaska fisheries.

Examines the contributions of people and place to levels of personal well-being across an area, using regression analysis of Annual Population Survey Personal Well-being data (2012/13) Source agency: Office for National Statistics Designation: Supporting material Language: English Alternative title: REA

Abstract

The Ethiopia Socioeconomic Panel Survey (ESPS) is a collaborative project between the Ethiopian Statistical Service (ESS) and the World Bank Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) team. The objective of the LSMS-ISA is to collect multi-topic, household-level panel data with a special focus on improving agriculture statistics and generating a clearer understanding of the link between agriculture and other sectors of the economy. The project also aims to build capacity, share knowledge across countries, and improve survey methodologies and technology. ESPS is a long-term project to collect panel data. The project responds to the data needs of the country, given the dependence of a high percentage of households on agriculture activities in the country. The ESPS collects information on household agricultural activities along with other information on the households like human capital, other economic activities, and access to services and resources. The ability to follow the same households over time makes the ESPS a new and powerful tool for studying and understanding the role of agriculture in household welfare over time as it allows analyses of how households add to their human and physical capital, how education affects earnings, and the role of government policies and programs on poverty, inter alia. The ESPS is the first-panel survey to be carried out by the Ethiopian Statistical Service that links a multi-topic household questionnaire with detailed data on agriculture.

Geographic coverage

National Regional Urban and Rural

Analysis unit

• Household
• Individual
• Community

Universe

The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling frame for the second phase ESPS panel survey is based on the updated 2018 pre-census cartographic database of enumeration areas by the Ethiopian Statistical Service (ESS). The sample is a two-stage stratified probability sample. The ESPS EAs in rural areas are the subsample of the AgSS EA sample. That means the first stage of sampling in the rural areas entailed selecting enumeration areas (i.e., the primary sampling units) using simple random sampling (SRS) from the sample of the 2018 AgSS enumeration areas (EAs). The first stage of sampling for urban areas is selecting EAs directly from the urban frame of EAs within each region using systematic PPS. This is designed to automatically result in a proportional allocation of the urban sample by zone within each region. Following the selection of sample EAs, they are allocated by urban rural strata using power allocation which is happened to be closer to proportional allocation.

The second stage of sampling is the selection of households to be surveyed in each sampled EA using systematic random sampling. From the rural EAs, 10 agricultural households are selected as a subsample of the households selected for the AgSS, and 2 non-agricultural households are selected from the non-agriculture households list in that specific EA. The non-agriculture household selection follows the same sampling method i.e., systematic random sampling. One important issue to note in ESPS sampling is that the total number of agriculture households per EA remains at 10 even though there are less than 2 or no non-agriculture households are listed and sampled in that EA. For urban areas, a total of 15 households are selected per EA regardless of the households’ economic activity. The households are selected using systematic random sampling from the total households listed in that specific EA.

The ESPS-5 kept all the ESPS-4 samples except for those in the Tigray region and a few other places. A more detailed description of the sample design is provided in Section 3 of the Basic Information Document provided under the Related Materials tab.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The ESPS-5 survey consisted of four questionnaires (household, community, post-planting, and post-harvest questionnaires), similar to those used in previous waves but revised based on the results of those waves and on the need for new data they revealed. The following new topics are included in ESPS-5:

a. Dietary Quality: This module collected information on the household’s consumption of specified food items.

b. Food Insecurity Experience Scale (FIES): In this round the survey has implemented FIES. The scale is based on the eight food insecurity experience questions on the Food Insecurity Experience Scale | Voices of the Hungry | Food and Agriculture Organization of the United Nations (fao.org).

c. Basic Agriculture Information: This module is designed to collect minimal agriculture information from households. It is primarily for urban households. However, it was also used for a few rural households where it was not possible to implement the full agriculture module due to security reasons and administered for urban households. It asked whether they had undertaken any agricultural activity, such as crop farming and tending livestock) in the last 12 months. For crop farming, the questions were on land tenure, crop type, input use, and production. For livestock there were also questions on their size and type, livestock products, and income from sales of livestock or livestock products.

d. Climate Risk Perception: This module was intended to elicit both rural and urban households perceptions, beliefs, and attitudes about different climate-related risks. It also asked where and how households were obtaining information on climate and weather-related events.

e. Agriculture Mechanization and Video-Based Agricultural Extension: The rural area community questionnaire covered these areas rural areas. On mechanization the questions related to the penetration, availability and accessibility of agricultural machinery. Communities were also asked if they had received video-based extension services.

Cleaning operations

Final data cleaning was carried out on all data files. Only errors that could be clearly and confidently fixed by the team were corrected; errors that had no clear fix were left in the datasets. Cleaning methods for these errors are left up to the data user.

Response rate

ESPS-5 planned to interview 7,527 households from 565 enumeration areas (EAs) (Rural 316 EAs and Urban 249 EAs). However, due to the security situation in northern Ethiopia and to a lesser extent in the western part of the country, only a total of 4999 households from 438 EAs were interviewed for both the agriculture and household modules. The security situation in northern parts of Ethiopia meant that, in Tigray, ESPS-5 did not cover any of the EAs and households previously sampled. In Afar, while 275 households in 44 EAs had been covered by both the ESPS-4 agriculture and household modules, in ESPS-5 only 252 households in 22 EAs were covered by both modules. During the fifth wave, security was also a problem in both the Amhara and Oromia regions, so there was a comparable reduction in the number of households and EAs covered there.

More detailed information is available in the BID.

The Pacific Regional Coastal Fisheries Development Programme (CoFish) conducted fieldwork in four locations around Palau from April to June 2007. Palau is one of 17 Pacific Island countries and territories being surveyed over a 5–6 year period by CoFish or its associated programme PROCFish/C (the coastal component of the Pacific Regional Oceanic and Coastal Fisheries Development Programme).

The aim of the survey work was to provide baseline information on the status of reef fisheries, and to help fill the massive information gap that hinders the effective management of reef fisheries.

Other programme outputs include: • implementation of the first comprehensive multi-country comparative assessment of reef fisheries (finfish, invertebrates and socioeconomics) ever undertaken in the Pacific Islands region using identical methodologies at each site; • dissemination of country reports that comprise a set of ‘reef fisheries profiles’ for the sites in each country in order to provide information for coastal fisheries development and management planning; • development of a set of indicators (or reference points to fishery status) to provide guidance when developing local and national reef fishery management plans and monitoring programmes; and • development of data and information management systems, including regional and national databases.

Survey work in Palau covered three disciplines (finfish, invertebrate and socioeconomic) in each site, with a team of eight programme scientists and several local counterparts from the Bureau of Marine Resources, the Department of Conservation and Law Enforcement, and a seconded field officer from Conservation International in Alatau, Papua New Guinea. The fieldwork included capacity building for the local counterparts through instruction on survey methodologies in all three disciplines, including the collection of data and inputting the data into the programme’s database.

In Palau, the four sites selected for the survey were Ngarchelong, Ngatpang, Airai and Koror.

Version 01: This is the final, clean, labelled and anonymized version of the Master file.

-HOUSEHOLD: Household size and composition; Ranked sources of income and average household expenditure level; Average household consumption patterns and sources; Average number of fishers and boats per household.
-INDIVIDUAL: Education level of adult members of the household; When, how often and during which months of the year fishers go out to particulat habitats; Average catch size; Catch composition; Fishing techniques; Proportion of the catch targeted for subsistence, gift and sale, and preservation; How finfish and invertebrates are preserved; Community's fishing grounds; Management rules; Major problems relating to the use/management of the community's marine resources; Quantities by species or groups marketed; Quality and processing level of species marketed; Price in local currency/USD; Client groups; Quantitative and qualitative changes in marketing perceived over a period of time.

• Collection start: 2007
• Collection end: 2007

Abstract

The Socio-Economic Insights Survey (SEIS) conducted in May and June 2024 in Poland provides essential data to inform the 2025 Refugee Response Plan. This survey captures critical information on the socio-economic conditions of refugees, including demographics, protection, education, livelihoods, health, and accommodation. The findings are pivotal for shaping strategies and funding decisions that address the needs of refugee populations. Data were collected from a representative sample of refugee households and individuals across 16 regions of Poland, helping to identify key challenges and opportunities for enhancing refugee integration and well-being.

Geographic coverage

Poland

Analysis unit

Household and Individual

Universe

All refugee households and individuals residing in metropolitan and rural areas across 16 voivodeships (regions) of Poland.

Kind of data

Sample survey data [ssd]

Sampling procedure

Purposive/Convenience sampling with geographical coverage and different accommodation types. The sample includes 1,290 households (3,093 individuals), 80% of whom live outside collective sites, and 18% live in collective accommodation.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire covered socio-economic indicators, including demographics, protection, education, livelihoods, and health.

Abstract

A comprehensive and detailed statistical database of any economic activity is a prerequisite for planning and policy making and this applies to economic activities that play a major role in most modern world economies.

The Palestinian Central Bureau of Statistics is pleased to issue the Economic Survey of Palestine, including statistical tables of findings. This edition presents the findings of the surveys conducted for 2019 as the reference year and covers most of the economic activities operating in Palestine since 1994. Economic surveys of various fields constitute the basic foundations for the compilation of National Accounts for Palestine

Geographic coverage

Palestine

Analysis unit

Enterprises

Universe

The economic survey series was conducted based on the Establishments Census of 2019 as a sampling frame. The economic surveys series covered activities in accordance with ISIC-4 (fifth digits).

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample is One-Stage Stratified Systematic Random Sample (without replacement).

Sample Strata Three levels are used to divide the population into strata: 1. Region (North of the West Bank in addition to Jericho Governorate, Ramallah and Al-Bireh Governorate, Jerusalem Governorate, Bethlehem Governorate, Hebron Governorate, Gaza Strip) 2. Strata were created based on the fourth digit of ISIC-4, excluding services sector based on the second in which every activity presents an actual stratum. 3. Enterprise size (small, medium, large) by number of employees.

13,974 enterprises were reached of which 10,602 enterprises responded on financial questions (baseline of economic indicators)

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

All of the economic surveys series used the same questionnaire, with a few different characteristics for each survey. The design of the 2019 questionnaire takes into account the major economic variables pertaining to the sector examined and the needs to be met to compile the National Accounts for Palestine. The questionnaire included these variables: 1. The employed persons in enterprise and compensation of these employees. 2. Value of output from the main activity and secondary activity. 3. Production inputs of goods and services.

Cleaning operations

Data processing went through several phases since the beginning of the preparation of data collection on 21/06/2020 until the end of the fieldwork on 30/11/2020. This process included the following phases:

1. Programming Phase The data collection application was prepared by the IT staff at PCBS.

IT staff tested the application with the project director and all comments and updates were implemented, skips between questions, and some verification rules were also tested, a final version of the application was provided on time.

1. Training Phase All materials were prepared and included in the training manual on the requirements of data processing during fieldwork. The training halls were well prepared and contained microphones and a Wi-Fi. Training for Gaza Strip was carried out separately.

2. Verification Phase All verifications and consistency checks were applied to PC-Tablet applications. An error message pops up when entering a wrong value and some error messages show up in red for sensitive questions. The project coordinator tested the application by entering pilot questionnaires. In addition, there was a pretest by project director before collecting the data.

3. Other Data Processing Issues

· PC-Tablets: In general, PC-tablets were user friendly and familiar. During training, every interviewer was trained on a PC-tablet for their own use

· Data Collection Application (Survey Solution): The application was well designed and had a user friendly interface. Nevertheless, a programmer needed to be available when an error occurred by any of the supervisors and interviewers.

· Internet Connection (Wi-Fi): During the training, internet connection was available for trainers and trainees. During fieldwork, 81 SIM cards with internet connection were provided for each PC-tablet by Jawwal Company during data collection process.

· Administration Website: The website was friendly designed and easy to use, as it shows totals of completed questionnaire by interviewers.

Supervisors were supplied by PCBS with four PC-tablets operating on Windows operations system to review and follow up on the data and to fill the sections they were responsible for.

Response rate

Response rate:84.0%.

Sampling error estimates

Sampling Errors Data of this survey were affected by sampling errors due to use of the sample. Variance was calculated for the most important indicators, accordingly, it is possible to disseminate the results at regional level.

Non Sampling Error These types of errors could appear on one or on all of the survey stages that include data collection and data entry; they related to, respondents, fieldworkers, and data entry personnel. To avoid errors and mitigate their impact, a number of procedures were applied to enhance the accuracy of the data through a process of data collection from the field and data processing.

Abstract

This report provides statistical data on the main environmental indicators for the economic establishments in the Palestinian Territory, based on the Environmental Economic survey which was implemented during the period 22/03/2009 to 28/05/2009. The main objective of the survey is to provide reliable data of environmental reality on the economic establishments in the Palestinian Territory, including the methods used to handle the solid waste and wastewater. It includes also the role of the local authority in providing the suitable environment that will reduce the negative effect of the different types of pollution on the economic sector. This report presents the main findings of the Environmental Economic Survey. It is one of a series of expected reports to be published by PCBS on the environment and natural resources in Palestine according to the plan for the Environment Statistical Department, as a tool for describing the status of environment in the Palestinian Territory. This report presents statistical data of water consumption in the economic establishments by water source, the methods of solid waste disposal and their main components, and the disposal of wastewater.

Geographic coverage

All of the economic establishments in the Palestinian Territory.

Analysis unit

Target Population All of the Palestinian economic establishments were included in the Economic Series Survey sample in the Palestinian Territory.

Universe

All of the economic establishments in the Palestinian Territory.

Kind of data

Sample survey data [ssd]

Sampling procedure

Target Population All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory. Sample and Frame Sample Design The sample is a single-stage stratified cluster random sample. It was 3,922 Palestinian economic establishments distributed according to the economic activities and governorates. Sample Frame The sampling frame was based on the Establishments' Census-2007 conducted by PCBS. Stratification Three levels of stratification were followed in designing the sample of the economic Survey including: 1.Stratification by Region: the establishments were classified to regions: the West Bank and Gaza Strip 2.Stratification by economic activity. 3.Stratification by employers group. The sample of the environmental economic survey is a partial sample of size 3544 from the economic series survey; and there was a sample of size 368 from the establishments that do not hold accounts.

Sampling deviation

Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem. The data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry. These errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). It is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire.

Mode of data collection

Face-to-face [f2f]

Research instrument

The environmental questionnaire was designed according to international standards and recommendations for the most important indicators, taking into account the special situation of Palestine. Many visits for economic establishments were made in order to improve the survey tools and to test the questionnaire before implementing the survey; consequently some modifications were made on the questionnaire and on the instructions following the visits.

Cleaning operations

The data processing stage contain of the following operations: Editing before data entry: all questionnaires were edited again in the office using the same instructions adopted for editing in the fields. Data entry: In this stage data were entered into the computer, using Access database. The data entry program was prepared to satisfy a number of requirements such as: Duplication of the questionnaire on the computer screen. Logical and consistency check of data entered. Possibility for internal editing of questions answers. Maintaining a minimum of digital data entry and fieldwork errors. User-Friendly handling. Possibility of transferring data into another format to be used and analyzed using other statistical analytical systems such as SAS and SPSS.

Response rate

The results of responding were divided into the following: interview results Frequency Percentage
Completed questionnaires 3,112 79.3
Completely closed 228 5.8
Temporarily closed 49 1.2
Not found unit 32 0.8
Did not practice any activity during the reference period 103 2.6
The economic activate are different 7 0.2
Refusal 247 6.3
Repeated 17 0.4
Israeli ownership 10 0.3
Others 117 2.1
Total 3,922 100

Sampling error estimates

Sampling Errors These types of errors evolved as a result of studying a part of the society and not all of it, and because this survey is sample based, the data of this survey will be affected by sampling errors due to using a sample and not the whole frame of the society, and therefore differences appear compared with the actual values that could be obtained through a census. For this survey, variance calculations were made for amounts of water consumed in the economic establishments by region and activity, and the main source of obtaining water in the economic establishments by region and activity. Non Sampling Errors Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem. The data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry. These errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). It is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire.

Response rate = 100% - none response rate= 100% - 18.1% = 81.9%

The none response cases were treated using adjustment groups (strata) and the following equation shows this

Where

Total weights in g group Total weights over coverage Total weights responding in the survey

Data appraisal

Comparability The data of the environmental economic survey is comparable time; the results when comparing the data between different geographical comparing the data of this survey with the data of previous rounds were no significant differences. Data Quality Assurance Procedures Several measures were made to ensure quality control in the survey, fieldworkers on main skills before the start of data collection, and field researchers to ensure the integrity of data collection,

Annual data on quality measures for business turnover, approximate gross value added (aGVA), purchases and employment costs, from the Annual Business Survey.

SB: WI: CH: SC: Difficulty Locating Alt Foreign Suppliers data was reported at 9.300 % in 11 Apr 2022. This records an increase from the previous number of 9.200 % for 04 Apr 2022. SB: WI: CH: SC: Difficulty Locating Alt Foreign Suppliers data is updated weekly, averaging 8.600 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 9.800 % in 28 Mar 2022 and a record low of 6.300 % in 07 Mar 2022. SB: WI: CH: SC: Difficulty Locating Alt Foreign Suppliers data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S047: Small Business Pulse Survey: by State: Midwest Region: Weekly, Beg Monday (Discontinued).

Abstract

The Pacific Regional Coastal Fisheries Development Programme (CoFish) conducted fieldwork in four locations around the Federated States of Micronesia (FSM) from April to May 2006. Palau is one of 17 Pacific Island countries and territories being surveyed over a 5–6 year period by CoFish or its associated programme PROCFish/C (Pacific Regional Oceanic and Coastal Fisheries Development Programme, coastal component).

The aim of the survey work was to provide baseline information on the status of reef fisheries, and to help fill the massive information gap that hinders the effective management of reef fisheries.

Other programme outputs include: • implementation of the first comprehensive multi-country comparative assessment of reef fisheries (finfish, invertebrates and socioeconomics) ever undertaken in the Pacific Islands region using identical methodologies at each site; • dissemination of country reports that comprise a set of ‘reef fisheries profiles’ for the sites in each country in order to provide information for coastal fisheries development and management planning; • development of a set of indicators (or reference points to fishery status) to provide guidance when developing local and national reef fishery management plans and monitoring programmes; and • development of data and information management systems, including regional and national databases.

Survey work in the FSM covered three disciplines (finfish, invertebrate and socioeconomic) in each site, with two teams of five programme scientists (one team working in Yap and the other in Chuuk) and several local counterparts from the Chuuk Department of Marine Resources, the Yap State Government’s Department of Resources and Development and one attachment from both the Pohnpei and Kosrae fisheries department. The fieldwork included capacity building for the local counterparts through instruction on survey methodologies in all three disciplines, including the collection of data and inputting the data into the programme’s database.

In FSM, the four sites selected for the survey were Yyin and Riiken in Yap State, and PiisPanewu and Romanum in Chuuk State.

Geographic coverage

In the Federated States of Micronesia, the four sites selected for the survey were Yyin and Riiken in Yap State, and PiisPanewu and Romanum in Chuuk State.

Analysis unit

Household and Individual (Finfish fishers; Invertebrate fishers; Key informants; Shop owners).

Universe

The survey covered de jure household members. All household members responding the "Finfishers" and "Invertebrate fishers" questionnaires must be aged 15 years and over and must be living in the household surveyed.

Kind of data

Sample survey data [ssd]

Sampling procedure

At each site the extent of the community to be covered by the socioeconomic survey is determined by the size, nature and use of the fishing grounds. This selection process is highly dependent on local marine tenure rights. For example, in the case of community-owned fishing rights, a fishing community includes all villages that have access to a particular fishing ground. If the fisheries of all the villages concerned are comparable, one or two villages may be selected as representative samples, and consequently surveyed. Results will then be extrapolated to include all villages accessing the same fishing grounds under the same marine tenure system.

Most of the households included in the survey are chosen by simple random selection, as are the finfish and invertebrate fishers associated with any of these households. In addition, important participants in one or several particular fisheries may be selected for complementary surveying. Random sampling is used to provide an average and representative picture of the fishery situation in each community, including those who do not fish, those engaged in finfish and/or invertebrate fishing for subsistence, and those engaged in fishing activities on a small-scale artisanal basis. This assumption applies provided that selected communities are mostly traditional, relatively small (~100-300 households) and (from a socioeconomic point of view) largely homogenous. Similarly, gender and participation patterns (types of fishers by gender and fishery) revealed through the surveys are assumed to be representative of the entire community. Accordingly, harvest figures reported by male and female fishers participating in a community's various fisheries may be extrapolated to assess the impacts resulting from the entire community, sample size permitting (at least 25-30% of all households).

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaires are designed to allow a minimum dataset to be developed for each site, one that allows: • the community’s dependency on marine resources to be characterised; • assessment of the community’s engagement in and the possible impact of finfish and invertebrate harvesting; and • comparison of socioeconomic information with data collected through PROCFish/C resource surveys.

The questionnaires are divided into 4 main areas: -Household Survey => incorporating demographics, selected socioeconomic parameters and consumption patterns; -Survey of fishers (finfish and invertebrate) => incorporating data by habitat and/or specific fishery; -A general questionnaire targeting key informants => the purpose of which is to assess the overall characteristics of the site's fisheries; -Finfish and invertebrate marketing questionnaires => that target agents, middlemen or buyers/sellers (shops and markets).

In addition to the questionnaires, two sets of size charts are provided to help assess the weight of fish and invertebrates caught and consumed. This is necessary as most village fishers do not use kilograms but local units of measure (heaps, plastic bags, strings, baskets, etc.), which are difficult to translate into kilogram weights.

Data collection is performed using a standard set of questionnaires developed by PROCFish/C’s socioeconomic component, which include a household survey (key socioeconomic parameters and consumption patterns), finfish fisheries survey, invertebrate fisheries survey, marketing of finfish survey, marketing of invertebrates survey, and general information questionnaire (for key informants). In addition, further observations and relevant details are noted and recorded in a non-standardised format. Questionnaires are fully structured and closed, although open questions may be added on a case-to-case situation.

Cleaning operations

A software programme (SEMCoS) has been developed in tandem with this manual to assist in automatically performing all necessary analysis and producing outputs for the data collected.

The purpose of this publication is to provide up-to-date information about the opinions of Dutch entrepreneurs about the achievements, expectations and judgments with regard to their company. This panel study provides insight into the current situation, the future development and the opinions of the Dutch business community. The data is broken down by activity, region and size class. This makes it possible to identify changes in optimism or pessimism at an early stage, providing an early indication of a possible trend change in the economic activities of the Dutch business community. The questions put to the entrepreneurs concerned, among other things, production, turnover, prices, orders, stocks, investments, competitive position, economic climate, number of employees and the obstacles encountered by the entrepreneurs. Data available from: October 2008 to January 2012 Frequency: quarterly Status of the figures: The published figures are final. When will new numbers come out? The table has been discontinued with effect from January 2012. Reason for discontinuation: As of January 2012, the results from the Economic Survey of the Netherlands Chamber of Commerce regions and Economic Survey of the Netherlands for Provinces and Lands will be combined in one publication. A switch was also made to publication based on the 2008 Standard Company Classification.

The Northeast Fisheries Science Center's Social Sciences Branch (SSB) completed a survey of crew, including hired captains, participating in commercial fisheries in the New England and Mid-Atlantic regions. The purpose of the survey effort was to collect data that would contribute to the development of fisheries performance measures, with a emphasis on collecting data for social performance measures in the areas of governance, stewardship, and well-being. The survey began in October 2012 and concluded in 2013. Commercial fishing vessel crew were intercepted at several selected fishing ports from the region, and asked to participate in the survey. Participating crew members were interviewed orally using a standardized set of survey questions, with the interview entering the crew member's responses on a hand held tablet. By the close of the survey, 400 interviews were completed.

Abstract

The Ethiopia Socioeconomic Survey (ESS) is a collaborative project between the Central Statistics Agency (CSA) of Ethiopia and the World Bank Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) team. The objective of the LSMS-ISA is to collect multi-topic, household-level panel data with a special focus on improving agriculture statistics and generating a clearer understanding of the link between agriculture and other sectors of the economy. The project also aims to build capacity, share knowledge across countries, and improve survey methodologies and technology.

ESS is a long-term project to collect panel data. The project responds to the data needs of the country, given the dependence of a high percentage of households in agriculture activities in the country. The ESS collects information on household agricultural activities along with other information on the households like human capital, other economic activities, access to services and resources. The ability to follow the same households over time makes the ESS a new and powerful tool for studying and understanding the role of agriculture in household welfare over time as it allows analyses of how households add to their human and physical capital, how education affects earnings, and the role of government policies and programs on poverty, inter alia. The ESS is the first panel survey to be carried out by the CSA that links a multi-topic household questionnaire with detailed data on agriculture.

Geographic coverage

National Coverage.

Analysis unit

Households

Universe

ESS uses a nationally representative sample of over 5,000 households living in rural and urban areas. The urban areas include both small and large towns.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample is a two-stage probability sample. The first stage of sampling entailed selecting primary sampling units, or CSA enumeration areas (EAs). A total of 433 EAs were selected based on probability proportional to size of the total EAs in each region. For the rural sample, 290 EAs were selected from the AgSS EAs. A total of 43 and 100 EAs were selected for small town and urban areas, respectively. In order to ensure sufficient sample size in the most populous regions (Amhara, Oromiya, SNNP, and Tigray) and Addis Ababa, quotas were set for the number of EAs in each region. The sample is not representative for each of the small regions including Afar, Benshangul Gumuz, Dire Dawa, Gambella, Harari, and Somalie regions. However, estimates can be produced for a combination of all smaller regions as one “other region” category. A more detailed description of the sample design is provided in Section 3 of the Basic Information Document provided under the Related Materials tab.

Mode of data collection

Mixed data collection mode

Cleaning operations

The interviews were carried out using pen-and-paper (PAPI) as well as computer-assisted personal interviewing (CAPI) method. A concurrent data entry arrangement was implemented for PAPI. In this arrangement, the enumerators did not wait until all the interviews were completed. Rather, once the enumerators completed approximately 3-4 questionnaires, supervisors collected these interviews from enumerators and brought them to the branch offices for data entry. This process took place as enumerators continued administering interviews with other households. Then questionnaires were keyed at the branch offices as soon as they were completed using the CSPro data entry application software. The data from the completed questionnaires were then checked for any interview or data entry errors using a STATA program. Data entry errors were flagged for the data entry clerks and the interview errors were then sent to back to the field for correction and feedback to the ongoing interviews. Several rounds of this process were undertaken until the final data files were produced. Additional cleaning was carried out, as needed, by checking the hard copies. In ESS3, CAPI (with a Survey Solutions platform) was used to collect the community data in large town areas.

Response rate

During wave 3, 1255 households were re-interviewed yielding a response rate of 85 percent. Attrition in urban areas is 15% due to consent refusal and inability to trace the whereabouts of sample households.

description: The purpose of this study was to assess the regional economic implications associated with draft CCP management strategies for Rappahannock River Valley NWR. This report first presents a description of the local area and economic activities near Rappahannock River Valley National Wildlife Refuge. Next, the methods used to conduct an economic assessment are described. An analysis of current and proposed management strategies that could affect the local economy is then presented. The Refuge management activities of economic concern in this analysis are: Refuge purchases of goods and services within the local community; Refuge personnel salary spending; spending in the local area by Refuge visitors; and Refuge land purchases and changes in local tax revenue.; abstract: The purpose of this study was to assess the regional economic implications associated with draft CCP management strategies for Rappahannock River Valley NWR. This report first presents a description of the local area and economic activities near Rappahannock River Valley National Wildlife Refuge. Next, the methods used to conduct an economic assessment are described. An analysis of current and proposed management strategies that could affect the local economy is then presented. The Refuge management activities of economic concern in this analysis are: Refuge purchases of goods and services within the local community; Refuge personnel salary spending; spending in the local area by Refuge visitors; and Refuge land purchases and changes in local tax revenue.

Abstract

There is no doubt that establishing a comprehensive and detailed statistical database for any economic activity is considered a prerequisite for planning and formulating policy aiming at the development and improvement of its performance. This naturally applies on the economic activities which is paid special attention in most contemporary economies all over the world.

The Palestinian Central Bureau of Statistics is pleased to issue the tenth volume of the economic surveys for the Palestinian Territory, which presents the findings of the surveys conducted for 2003 as reference year. These surveys cover most of economic activities operating in the Palestinian Territory since 1994.

This report includes statistical tables which presents the surveys findings for Remaining West Bank and Gaza Strip (RWBGS) excluding that part of Jerusalem which was annexed after the 1967 occupation by Israel.

Economic surveys in their various fields constitute the basic pillar for the compilation of National Accounts for Palestine. It is hoped that they will also fulfill the various needs and expectations of users in both private and public sectors.

Geographic coverage

Palestinian Territory.

Analysis unit

economical establishments

Universe

All of the economic establishments in the Palestinian Territory.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample is a single-stage stratified cluster random sample. It was 3,590 Palestinian economic establishments distributed according to the economic activities and governorates.

Target Population All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.

Sample Frame The sampling frame was based on the Census-1997 conducted by PCBS, which was updated by frame modification survey 2002 Three levels of stratification were followed in designing the sample of the economic Survey including: 1. Stratification by Region: the establishments were classified to regions: West Bank and Gaza Strip 2. Stratification by economic activity. 3. Stratification by employers group.

Sampling deviation

There is not any deviations

Mode of data collection

Face-to-face [f2f]

Research instrument

The environmental questionnaire was designed according to international standards and recommendations for the most important indicators, taking into account the special situation of Palestine. Many visits for economical establishments were made in order to improve the survey tools and to test the questionnaire before implementing the survey; consequently some modifications were made on the questionnaire and on the instructions following the visits

Cleaning operations

The data processing stage contain of the following operations: Editing before data entry: all questionnaires were edited again in the office using the same instructions adopted for editing in the fields. Data entry: In this stage data were entered into the computer, using Access database. The data entry program was prepared to satisfy a number of requirements such as: Duplication of the questionnaire on the computer screen. Logical and consistency check of data entered. Possibility for internal editing of questions answers. Maintaining a minimum of digital data entry and fieldwork errors. User-Friendly handling. Possibility of transferring data into another format to be used and analyzed using other statistical analytical systems such as SAS and SPSS.

Response rate

Response rate = %78.66

Sampling error estimates

These types of error are due to studying only a part of a social base. Since this survey is sample based, the data will be affected by sampling errors due to not using the whole frame of society and differences may appear compared with the actual values that could be obtained through a census. For this survey, variance calculations were made for the amounts of water consumed and the main source of supply in economic establishments by region and activity.

Financial overview and grant giving statistics of Regional Economic Growth Initiative Inc

Abstract

PCBS conducted the Environmental Economic Survey during the period 22/03/2011 to 20/08/2011; with the primary objective of providing reliable data on the main environmental indicators in economic establishments in the Palestinian Territory, including the methods used to handle solid waste and wastewater. The survey also includes the role of the local authority in providing a suitable environment that minimizes the negative effect of different types of pollution from economic activities. This report is divided into three chapters: the first chapter defines the main findings of the report. The second chapter explains the methodology of data collection and tabulation, in addition to details regarding data quality and estimations of the data sources of this report. The third chapter contains the concepts and definitions used in this report.

Geographic coverage

Palestinian Territory.

Analysis unit

Target Population All of the Palestinian economic establishments were included in the Economic Series Survey sample in the Palestinian Territory.

Universe

All of the economic establishments in the Palestinian Territory.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design The sample was a single-stage stratified cluster random sample using 3,922 Palestinian economic establishments distributed according to economic activity and governorate. Target Population: All Palestinian economic establishments were included in the Economic Series Survey sample in the Palestinian Territory. Sample Frame: The sampling frame was based on the Establishments' Census-2007 conducted by PCBS. Stratification: Three levels of stratification were followed in designing the sample of the economic survey, including: 1.Stratification by region: West Bank and Gaza Strip and classification according to governorate. 2.Stratification by economic activity according to ISIC4. 3.Stratification by employer group.

Sampling deviation

There is not any deviations

Mode of data collection

Face-to-face [f2f]

Research instrument

The environmental questionnaire was designed according to international standards and recommendations for the most important indicators, taking into account the special situation of Palestine. Many visits were made to economic establishments to improve the survey tools and test the questionnaire prior to the implementation of the survey: subsequently some modifications were made to the questionnaire and to the instructions following the visits.

Cleaning operations

The data processing stage comprised the following operations: 1.Editing before data entry: all questionnaires were edited again in the office using the same instructions adopted for editing in the field. 2.Data entry: At this stage, data were entered into the computer using Access database. 3.The data entry program was set up to satisfy a number of requirements, such as: Duplication of the questionnaire on the computer screen. Checks for logic and consistency of data entered. Possibility of internal editing of answers to questions. Maintaining a minimum of digital data entry and field work errors. User-friendly handling. Possibility of transferring data into another format to be used and analyzed using other statistical analytical systems, such as SAS and SPSS.

Response rate

None response rate = (Sum of none response cases/ Net sample) x 100% = (386/ 3,491) x 100% = 11.1% Response rate = 100% - none response rate = 100% - 11.1% = 88.9%

Sampling error estimates

These types of error are due to studying only a part of a social base. Since this survey is sample based, the data will be affected by sampling errors due to not using the whole frame of society and differences may appear compared with the actual values that could be obtained through a census. For this survey, variance calculations were made for the amounts of water consumed and the main source of supply in economic establishments by region and activity.

Data appraisal

Comparability The data of the environmental economic survey are comparable geographically and against time; a comparison of the data between different geographical areas and with data from previous rounds showed no significant differences. Concerning economical activities, published data in this report are in ISIC-4 of economic activities, so it must attention when comparable with previous reports because published at ISIC-3 of economic activities.
Data Quality Assurance Procedures Several measures were applied to ensure quality control in the survey, such as the training of field workers on the main skills before data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview of five percent of the economic establishments. An audit of questionnaires was carried out before data entry and a program was used that does not allow any mistakes during the data entry process. Data were examined to ensure that they were free from errors not previously discovered. After receipt of the raw data file, cleaning and inspection of the anomalous values was conducted and the consistency of different questions on the questionnaire was examined.

Abstract

The coastal component of the Pacific Regional Oceanic and Coastal Fisheries Development Programme (PROCFish/C) conducted fieldwork in five locations around New Caledonia. As New Caledonia was the home base for the PROCFish/C project, fieldwork was conducted site by site between fieldwork activities in other countries. Fieldwork in New Caledonia was undertaken in March, April and November 2003; January, February, April, June, August and November 2004; April and May 2005; January to March 2006; and January and February 2007. New Caledonia is one of 17 Pacific Island countries and territories being surveyed over a 5–6 year period by PROCFish or its associated programme CoFish (Pacific Regional Coastal Fisheries Development Programme). The aim of the survey work was to provide baseline information on the status of reef fisheries, and to help fill the massive information gap that hinders the effective management of reef fisheries. Other programme outputs include: • implementation of the first comprehensive multi-country comparative assessment of reef fisheries (finfish, invertebrates and socioeconomics) ever undertaken in the Pacific Islands region using identical methodologies at each site; • dissemination of country reports that comprise a set of ‘reef fisheries profiles’ for the sites in each country in order to provide information for coastal fisheries development and management planning; • development of a set of indicators (or reference points to fishery status) to provide guidance when developing local and national reef fishery management plans and monitoring programmes; and • development of data and information management systems, including regional and national databases.

Survey work in New Caledonia covered three disciplines (finfish, invertebrate and socioeconomic) in each site, with sites surveyed on each trip by a team of two to five programme scientists and several local counterparts from the Fisheries Department, Provinces and IRD. The fieldwork included capacity building for the local counterparts through instruction on survey methodologies in all three disciplines, including the collection of data and inputting the data into the programme’s database. In New Caledonia, the five sites selected for the survey were Ouassé, Thio, Luengoni, Oundjo and Moindou.

Geographic coverage

5 sites: Ouassé, Thio, Luengoni, Oundjo and Mouindou.

Analysis unit

Household and Individual (Finfish fishers; Invertebrate fishers; Key informants; Shop owners).

Universe

The survey covered de jure household members. All household members responding the "Finfishers" and "Invertebrate fishers" questionnaires must be aged 15 years and over and must be living in the household surveyed.

Kind of data

Sample survey data [ssd]

Sampling procedure

At each site the extent of the community to be covered by the socioeconomic survey is determined by the size, nature and use of the fishing grounds. This selection process is highly dependent on local marine tenure rights. For example, in the case of community-owned fishing rights, a fishing community includes all villages that have access to a particular fishing ground. If the fisheries of all the villages concerned are comparable, one or two villages may be selected as representative samples, and consequently surveyed. Results will then be extrapolated to include all villages accessing the same fishing grounds under the same marine tenure system.

Most of the households included in the survey are chosen by simple random selection, as are the finfish and invertebrate fishers associated with any of these households. In addition, important participants in one or several particular fisheries may be selected for complementary surveying. Random sampling is used to provide an average and representative picture of the fishery situation in each community, including those who do not fish, those engaged in finfish and/or invertebrate fishing for subsistence, and those engaged in fishing activities on a small-scale artisanal basis. This assumption applies provided that selected communities are mostly traditional, relatively small (~100-300 households) and (from a socioeconomic point of view) largely homogenous. Similarly, gender and participation patterns (types of fishers by gender and fishery) revealed through the surveys are assumed to be representative of the entire community. Accordingly, harvest figures reported by male and female fishers participating in a community's various fisheries may be extrapolated to assess the impacts resulting from the entire community, sample size permitting (at least 25-30% of all households).

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaires are designed to allow a minimum dataset to be developed for each site, one that allows: • the community’s dependency on marine resources to be characterised; • assessment of the community’s engagement in and the possible impact of finfish and invertebrate harvesting; and • comparison of socioeconomic information with data collected through PROCFish/C resource surveys.

The questionnaires are divided into 4 main areas: -Household Survey => incorporating demographics, selected socioeconomic parameters and consumption patterns; -Survey of fishers (finfish and invertebrate) => incorporating data by habitat and/or specific fishery; -A general questionnaire targeting key informants => the purpose of which is to assess the overall characteristics of the site's fisheries; -Finfish and invertebrate marketing questionnaires => that target agents, middlemen or buyers/sellers (shops and markets).

In addition to the questionnaires, two sets of size charts are provided to help assess the weight of fish and invertebrates caught and consumed. This is necessary as most village fishers do not use kilograms but local units of measure (heaps, plastic bags, strings, baskets, etc.), which are difficult to translate into kilogram weights.

Data collection is performed using a standard set of questionnaires developed by PROCFish/C’s socioeconomic component, which include a household survey (key socioeconomic parameters and consumption patterns), finfish fisheries survey, invertebrate fisheries survey, marketing of finfish survey, marketing of invertebrates survey, and general information questionnaire (for key informants). In addition, further observations and relevant details are noted and recorded in a non-standardised format. Questionnaires are fully structured and closed, although open questions may be added on a case-to-case situation.

Cleaning operations

A software programme (SEMCoS) has been developed in tandem with this manual to assist in automatically performing all necessary analysis and producing outputs for the data collected.

Industrial Companies Survey: Main economic variables by activity subgroups. Annual. National.