The UNHCR Results Monitoring Surveys (RMS) is a household-level survey on people with and for whom UNHCR works or who benefit from direct or indirect assistance provided by UNHCR, including refugees and asylum seekers, internally displaced persons, returnees, stateless and others of concern. The objective of the survey is to monitor impact and outcome level indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR's multi-year strategies to key stakeholders. This RMS took place in Peru from April 2023 to May 2023 at national level.

The data was collected using the High Frequency Survey (HFS), the new regional data collection tool & methodology launched in the Americas. The survey allowed for better reaching populations of interest with new remote modalities (phone interviews and self-administered surveys online) and improved sampling guidance and strategies. It includes a set of standardized regional core questions while allowing for operation-specific customizations. The core questions revolve around populations of interest's demographic profile, difficulties during their journey, specific protection needs, access to documentation & regularization, health access, coverage of basic needs, coping capacity & negative mechanisms used, and well-being & local integration. The data collected has been used by countries in their protection monitoring analysis and vulnerability analysis.

The table Gallup Panel Wellbeing Survey (2023 Q2 thru 2025 Q2) is part of the dataset Gallup Panel COVID-19 and Wellbeing Survey, available at https://stanford.redivis.com/datasets/ymxx-2ne92phaj. It contains 51529 rows across 205 variables.

Abstract

The data was collected using the High Frequency Survey (HFS). The survey allowes for better reaching populations of interest with remote modalities (phone interviews and self-administered surveys online) and improved sampling guidance and strategies. It includes a set of standardized regional core questions while allowing for operation-specific customizations. The core questions revolve around populations of interest's demographic profile, difficulties during their journey, specific protection needs, access to documentation and regularization, health access, coverage of basic needs, coping capacity and negative mechanisms used, and well-being and local integration. The data collected has been used by countries in their protection monitoring analysis and vulnerability analysis.

Analysis unit

Household

Kind of data

Sample survey data [ssd]

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Questionnaire contained the following sections: Household Demographics, vulnerability, basic Needs, coping capacity, well-being.

Abstract

Focuses mainly on labour force key indicators, main characteristics of the employed, unemployed, underemployed and persons outside labour force, labour force according to level of education, distribution of the employed population by occupation, economic activity, place of work, employment status, hours and days worked and average daily wage in NIS for the employees.

Geographic coverage

The Data are representative at region level (West Bank, Gaza Strip), locality type (urban, rural, camp)

Analysis unit

Household, Individual.

Universe

The survey covered all the Palestinian persons aged 10 years and above who are a usual residence in State of Palestine

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample of this survey is implemented periodically every quarter by PCBS since 1995, where this survey is implemented every quarter in the year (distributed over 13 weeks). The sample is a two-stage stratified cluster sample with two stages: First stage: selection of a stratified sample of 536 EA with (pps) method. Second stage: selection of a random area sample of 15 households from each enumeration area selected in the first stage. The estimated sample size in second quarter was 8,040 households in 2023.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The lfs questionnaire consists of four main sections: Identification Data: The main objective for this part is to record the necessary information to identify the household, such as, cluster code, sector, type of locality, cell, housing number and the cell code. Quality Control: This part involves groups of controlling standards to monitor the field and office operation, to keep in order the sequence of questionnaire stages (data collection, field and office coding, data entry, editing after entry and store the data. Household Roster: This part involves demographic characteristics about the household, like number of persons in the household, date of birth, sex, educational level…etc. Employment Part: This part involves the major research indicators, where one questionnaire had been answered by every 10 years and over household member, to be able to explore their labour force status and recognize their major characteristics toward employment status, economic activity, occupation, place of work, and other employment indicators.

Cleaning operations

All questionnaires were edited after data entry in order to minimize errors related data entry.

Response rate

The response rate was 83.6% in the second quarter 2023

Sampling error estimates

Data of this survey affected by sampling errors due to use of the sample and not a complete enumeration. Therefore, certain differences are expected in comparison with the real values obtained through censuses. Variance were calculated for the most important indicators, the variance table is attached with the final report. There is no problem to disseminate results at the national level and at the level of governorates of the West Bank and Gaza Strip.

Data appraisal

The concept of data quality encompasses various aspects, started with planning of the survey to how to publish, understand and benefit from the data. The most important components of statistical quality elements are accuracy, comparability and quality control procedures

In the second quarter of 2024, the overall loan demand index had a value of 55 percent, decreasing by 16 percentage points compared to the same quarter of the previous year. The first quarter of 2023 showed the highest index value of the observed period. The highest demand came from small and micro-sized firms.

In the second quarter of 2024, the employment sentiment index value of urban depositors in China was ****. The index has dropped considerably since 2019.

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This question is from the 2015 Chapel Hill Community Survey.

Which THREE of these items do you think should receive the most emphasis from Town leaders over the next TWO Years?

OVERALL SATISFACTION WITH TOWN SERVICES

1. Overall quality of services provided by the Town of Chapel Hill
2. Overallquality of public safety services (e.g., police, fire)
3. Overall quality of Town parks and recreation programs and facilities
4. Overall quality of customer service you receive from Town employees
5. Overall quality of Public Library services
6. Overall enforcement of Town codes/ordinances
7. Overall maintenance of major streets
8. Overall maintenance of neighborhood streets
9. Overall maintenance of Town buildings and facilities
10. Overall maintenance of public housing buildings and grounds
11. Overall flow of traffic and congestion management in the Town
12. Effectiveness of communication with public
13. Overall value for your tax dollars and fees
14. How well the Town is preparing for the future
15. How well the Town is managing change
16. Emergency preparedness
17. Quality of landscaping in parks, medians and other public areas
18. Quality of Chapel Hill Transit

Data has been geomasked to ensure privacy of the respondents.

Reference:

Catherine Lazorko, communications manager, at (919) 969-5055 or at info@townofchapelhill.org

Results of the data from Q1 and Q2 survey. Participants of the quasi-residential building DS 12.

In Q2 of 2023, around 51 percent of people in Austria used their smartphone for online shopping. This was the first time the share of people using the phone exceeded 50 percent. 40 percent of people used a computer.

Data set is the result of commissioned questions in the Atlantic Quarterly omnibus public opinion survey conducted in May 2018. These commissioned questions relate to public opinion regarding perceptions of immigration. Results are provided for each question broken down by various demographic markers (age, gender, geographic region, education level and household income).

Abstract

The Nigeria Labour Force Survey (NLFS) is a statistical survey designed to collect comprehensive data on employment, unemployment, and other characteristics of the population labour force. It provides quarterly estimates of the main labour force statistics with sufficient precision at the national level. This report contains findings from the Nigeria Labour Force Survey (NLFS) for the second quarter of 2024. The statistics are measured based on the labour force framework as guided by the international standard for labour market statistics for international comparability and the specific data requirements for the country.

The main objective of the NLFS is to collect basic statistics on the labour market situation in Nigeria and make labour statistics available to support government policies and programmes for effective planning, and for the private sector to support investment decision-making aimed at improving the employment situation in the country. The Labour Force Survey also serves as a tool for monitoring progress towards national goals and global commitments with an overarching goal of promotingthe welfare of the Nigerian population while ensuring the availability of labour market statistics to feed into the global sustainable development goals agenda. Labour is often one of the most important factors of production and is a major determinant of the economic system globally. Therefore, it is imperative to know whether people are working or not, how long they work, and the nature of the jobs they are engaged in.

The NLFS enables key labour market statistics and the employment situation to be monitored periodically in Nigeria. The indicators include the labour force participation rate, employment-to-population ratio, unemployment rate, time-related underemployment, self-employment, labour underutilisation, and other key job characteristics.

Geographic coverage

National Zone State Sector

Analysis unit

Individual

Universe

Household Members

Kind of data

Sample survey data [ssd]

Sampling procedure

The target sample for the entire year is 35,520 households divided across 12 months, meaning the target sample for each quarter is 8,880 households. After small levels of non-response and replacement, the final sample for Q1 2024 is 8,836 households across the 36 states including the FCT.

Sampling deviation

No Deviations

Mode of data collection

Face-to-face [f2f]

Research instrument

A structured questionnaire was used for NLFS. A household questionnaire was administered in each household, which collected various information on Identification, Demographic Characteristics(inclusion of disability questions for 5 years or older), Education, Employed at work,Temporarily absence, Agricultural work and Market Orientation, Characteristics of main and secondary job, Unemployent and out of labour.Some of the questions were administered at household level while others were at individual level.

Cleaning operations

Real - Time data editing took place at different stages throughout the processing which includes: 1) Data editing and cleaning 2) Structure checking and completeness 3) Secondary editing 4) Structural checking of data files

Response rate

The household response rate is 100%.

Sampling error estimates

The margin of error of each quarter is 1% for national estimates.

Data appraisal

A series of data quality tables and graphs are available in the reports.

The table Gallup Panel Wellbeing Survey (2023 Q2-2025 Q1) is part of the dataset Gallup Panel COVID-19 and Wellbeing Survey, available at https://stanford.redivis.com/datasets/ymxx-2ne92phaj. It contains 46103 rows across 200 variables.

The data was collected using the High Frequency Survey (HFS). The survey allows for better reaching populations of interest with remote modalities (phone interviews and self-administered surveys online) and improved sampling guidance and strategies. It includes a set of standardized regional core questions while allowing for operation-specific customizations. The core questions revolve around populations of interest's demographic profile, difficulties during their journey, specific protection needs, access to documentation & regularization, health access, coverage of basic needs, coping capacity & negative mechanisms used, and well-being & local integration. The data collected has been used by countries in their protection monitoring analysis and vulnerability analysis.

Data set is the result of commissioned questions in the Atlantic Quarterly omnibus public opinion survey conducted in May 2018. These commissioned questions relate to public opinion regarding perceptions of immigration. Results are provided for each question broken down by various demographic markers (age, gender, geographic region, education level and household income).

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Data set is the result of commissioned questions in the Atlantic Quarterly omnibus public opinion survey conducted in May 2018. These commissioned questions relate to public opinion regarding perceptions of immigration. Results are provided for each question broken down by various demographic markers (age, gender, geographic region, education level and household income).

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