The General Social Surveys (GSS) have been conducted by the National Opinion Research Center (NORC) annually since 1972, except for the years 1979, 1981, and 1992 (a supplement was added in 1992), and biennially beginning in 1994. The GSS are designed to be part of a program of social indicator research, replicating questionnaire items and wording in order to facilitate time-trend studies. This data file has all cases and variables asked on the 2018 GSS.

The 2018 cross-sectional General Social Survey has been updated as of June 2024. This release includes additional interview-specific variables and survey weights. Please check the "https://gss.norc.org/" Target="_blank">NORC website for any future updates on this file.

To download syntax files for the GSS that reproduce well-known religious group recodes, including RELTRAD, please visit the "/research/syntax-repository-list" Target="_blank">ARDA's Syntax Repository.

General social survey (GSS), population 15 years and over, by union frequency and age group.

In 2023, Toronto-Dominion Bank (TD Bank) experienced a decline in the value of underwritten green, social, and sustainability (GSS) bonds compared to 2021. The value of GSS bonds reached a peak of 33 billion Canadian dollars in 2021, marking an increase of nearly 30 billion Canadian dollars from 2018. Conversely, this value declined by almost half in 2023, amounting to 17.3 billion Canadian dollars.

The Korean General Social Survey (KGSS) is the Korean version of the General Social Survey (GSS), closely replicating the original GSS of the National Opinion Research Center at the University of Chicago. The KGSS comprises four parts: The first part includes replicating core questions that cover the core content of Korean society.The second part is the International Social Survey Program (ISSP) module, which is a cross-national survey of 43 countries from all over the world.The third part is the East Asian Social Survey (EASS) module. The EASS is a joint survey of four East Asian countries (Korea, Japan, China and Taiwan) conducting a GSS-type social survey.The last part contains modules proposed by researchers. This data collection is the cumulative version of the previous 15 years of survey data from 2003 to 2018 (not including 2015 and 2017). This dataset contains a total of 19,636 cases across 3,044 variables. Respondents were asked for their opinions about Korean society, economic conditions, government performance, politics and political conditions. Additional questions were asked regarding the health care system, respondents' health behaviors, human rights, attitudes toward aging and the elderly, household composition, household income, education, occupation, environmental issues, international migration and so on. Demographic information collected includes age, sex, education level, household income, employment status, religious preference, political party affiliation, and political philosophy.

🇬🇧 United Kingdom

ONS Geography Products to Support GSS Geography Policy is a chart describing the various products produced by the Geography team at ONS as at August 2018, categorised by the 7 standards of the GSS Geography Policy Framework. (File Size - 2 MB)

The GSS program, established in 1985, conducts surveys across the ten provinces. The GSS is recognized for its regular collection of cross-sectional data that allows for trend analysis, and its capacity to test and develop new concepts that address current or emerging issues. The two primary objectives of the General Social Survey are: To gather data on social trends in order to monitor changes in the living conditions and well-being of Canadians over time; and To provide information on specific social policy issues of current or emerging interest.

Abstract

This dataset consists of monthly trade and CPI data on alcoholic beverages, food and tobacco products in Ghana. The dataset was provide to the DATA project at UCT by the Ghana Statistical Services (GSS) to share with researchers. The DATA project seeks to promote economic research in the area of behaviour-related non-communicable disease prevention and control

Geographic coverage

This data has national coverage

Analysis unit

Other

Universe

The dataset covers monthly trade and CPI data in Ghana from 2004 to 2018

Kind of data

Administrative records

Mode of data collection

Other [oth]

The Alternative Gender Measures Survey (AGMS) was conducted on Amazon Mechanical Turk in November 2014 to pilot measures as part of a proposal for a new sex and gender module in the General Social Survey (GSS). In order to test the measures in a realistic context, a six-item sex and gender module was embedded in a questionnaire designed to approximate conventional questionnaires in the social sciences. Most of the items were drawn from the GSS and have the same question wording and variable names. The AGMS sex and gender module includes: a pair of feminine and masculine scales asked from the first-order (how do you see yourself?) perspective, a pair of feminine and masculine scales asked from the third-order (how do most people see you?) perspective, and a two-step categorical measurement of sex at birth and current gender identity. This two-step approach is the same one adopted by the GSS for its 2018 survey.

The National Congregations Study (NCS) dataset fills a void in the sociological study of congregations by providing data that can be used to draw a nationally aggregate picture of congregations. Thanks to innovations in sampling techniques, the 1998 NCS data was the first nationally representative sample of American congregations. Subsequent NCS waves were conducted in 2006-07, 2012, and 2018-19.

Like Wave II, Wave IV again included a panel component. In addition to the new cross-section of congregations generated in conjunction with the 2018 GSS, the NCS-IV included all Wave III congregations that were nominated by GSS respondents who participated in the GSS for the first time in 2012. That is, the panel did not include Wave III congregations that had been nominated by GSS respondents who were in the 2012 GSS because they were part of the GSS's own panel of re-interviewees. The 2018-19 NCS, then, includes a subset of congregations that also were interviewed in 2012. A full codebook, prepared by the primary investigator and containing a section with details about the panel datasets, is available for download "https://sites.duke.edu/ncsweb/files/2020/09/NCS-I-IV-Cumulative-Codebook_FINAL_8Sept2020.pdf" Target="_blank">here. The codebook contains the original questionnaire, as well as detailed information on survey methodology, weights, coding, and more.

The "/data-archive?fid=NCSIV" Target="_blank">NCS Cumulative Dataset is also available from the ARDA.

The National Congregations Study (NCS) is a national survey effort to gather information about America's congregations. The first wave of the NCS took place in 1998, and the study was repeated in 2006-07, 2012, and 2018-19. The NCS tracks continuity and change among American congregations, and each NCS wave also explores new subjects. With information from 5,333 congregations collected over a span of more than 20 years, the NCS helps us better understand many aspects of congregational life in the United States, and how congregations are changing in the 21st century. The NCS contributes to knowledge about American religion by collecting information about a wide range of congregations' characteristics and activities at different points in time. In all four waves, the NCS was conducted in conjunction with the General Social Survey (GSS). The 1998, 2006, 2012, and 2018 waves of the GSS asked respondents who attend religious services to name their congregation, thus generating a nationally representative sample of religious congregations. Researchers then located these congregations. In 2006, the sample included re-interviews of a subset of congregations that participated in 1998, and in 2018-19, the sample included re-interviews of a subset of congregations that participated in 2012. A key informant at each congregation - a minister, priest, rabbi, or other staff person or leader - provided each congregation's information via a one-hour interview conducted either over the phone or in-person. The survey gathered information on many topics, including the congregation's leadership, social composition, structure, activities, and programming. The NCS gathers information about worship, programs, staffing, community activities, demographics, funding, and many other characteristics of American congregations. Respondents of the NCS survey were asked to describe the worship service and programs sponsored by the congregation other than the main worship services, including religious education classes, musical groups, and recreational programs. Informants described the type of building in which the congregation met, whether it belonged to the congregation, and whether visitors came just to view the building's architecture or artwork. Congregations were geocoded, and selected census variables are included in this study.

The two primary objectives of the General Social Survey (GSS) are: to gather data on social trends in order to monitor changes in the living conditions and well being of Canadians over time; and to provide information on specific social policy issues of current or emerging interest. The purpose of this survey is to provide a snapshot of the lives of caregivers and care receivers in today's Canada.

Replication materials for the manuscript "Skepticism in Science and Punitive Attitudes", published in the Journal of Criminal Justice.Note that the GSS repeated cross sections for 1972 to 2018 are too large to upload here, but they can be accessed from https://gss.norc.org/content/dam/gss/get-the-data/documents/spss/GSS_spss.zipIncluded here are:(A link to the repeated cross-sections data)Each of the 3 wave panels (2006-2010; 2008-2012; 2010-2014)Replication R script for the repeated cross sections cleaning and analysisReplication R script for the panel data cleaning and analysisAn excel spreadsheet with Uniform Crime Report data to merge to the cross sections.

France PPI: Mfg: FB: FP: GSS: Grain Mill Products data was reported at 97.700 2015=100 in Oct 2018. This records an increase from the previous number of 96.000 2015=100 for Sep 2018. France PPI: Mfg: FB: FP: GSS: Grain Mill Products data is updated monthly, averaging 96.900 2015=100 from Aug 2004 (Median) to Oct 2018, with 171 observations. The data reached an all-time high of 111.900 2015=100 in Feb 2013 and a record low of 76.500 2015=100 in Aug 2006. France PPI: Mfg: FB: FP: GSS: Grain Mill Products data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.I015: Producer Price Index: 2015=100.

Germany PPI: Mfg: FP: GSS: Starches & Starch data was reported at 107.900 2015=100 in Aug 2018. This records a decrease from the previous number of 108.600 2015=100 for Jul 2018. Germany PPI: Mfg: FP: GSS: Starches & Starch data is updated monthly, averaging 103.750 2015=100 from Jan 2015 (Median) to Aug 2018, with 44 observations. The data reached an all-time high of 112.600 2015=100 in Oct 2017 and a record low of 98.700 2015=100 in Jul 2015. Germany PPI: Mfg: FP: GSS: Starches & Starch data remains active status in CEIC and is reported by Federal Statistics Office Germany. The data is categorized under Global Database’s Germany – Table DE.I025: Producer Price Index: 2015=100.

JGSS は、General Social Survey (GSS)に範を取り、国際比較を視野に入れているが、日本社会と人々の意識や行動の実態を把握することに主眼をおいている。調査対象者の世帯構成、就業や生計の状況、両親や配偶者の職業、対象者の政治意識、家族観、人生観、死生観、宗教、余暇活動、犯罪被害など広範囲の調査事項を網羅し、さまざまな問題関心から分析ができる調査データの構築を目指している。 / このファイルには、JGSS-2017とJGSS-2018が統合されている。 JGSS-2017とJGSS-2018は、どちらも面接調査と留置調査を併用した。JGSS-2017とJGSS-2018には、対象者の属性に関する設問（学歴、高校の学科、出身高校の進学率、大学（大学院）の専攻分野、専門学校・専修学校への通学経験・通学時期、現在の収入源、年収、世帯収入、教育費支出額、婚姻上の地位、世帯構成、兄弟姉妹の数、居住地域の規模、15 歳の頃の居住地、20 歳の頃の居住地特性、住居形態、自分の位置する階層など）、調査対象者の意識や行動に関する設問（生活習慣、健康、ペット、幸福度・満足度、人間観・信頼観、家族・ジェンダー、宗教、居住環境・地域環境、社会階層、団体への所属、政治意識、原子力政策東日本大震災関連設問など）、EASS 2016 家族モジュール（親に対する経済的支援意識、経済的・実践的世代間援助、最も頻繁に接触する子ども、家事頻度、老親の世話の責任、家族意識、性別役割分業意識など）が含まれている。 / JGSS-2017/2018のデータセットは、以下のデータ・アーカイブで公開している。 / 日本：JGSSDDS (https://jgssdds.repo.nii.ac.jp) / 米国：ICPSR (https://www.icpsr.umich.edu) / 個票データの入手方法はアーカイブにより異なりますので、それぞれのホームページをご覧ください。 / The Japanese General Social Surveys (JGSS) Project is a Japanese version of the General Social Survey (GSS) project closely replicating the original GSS of the National Opinion Research Center at the University of Chicago. It provides data for analyses of Japanese society, attitudes, and behaviors, which makes possible international comparisons. / This integrated file includes JGSS-2017 and JGSS-2018. JGSS-2017 and JGSS-2018 both include two components, a face to face interview and a self-administered questionnaire. In JGSS-2017 and JGSS-2018, respondents were asked about their demographic and background information (education, employment, income, income source, educational expense, marital status, number of siblings, detailed family and household composition, household income), their attitudes and behaviors (habitual behaviors, pets, membership in organizations, leisure, trust in people and institutions, religion, views on family, gender and politics, environment, happiness, life satisfaction, social class, neighborhood environment, and Great East Japan Earthquake) as well as a module from East Asian Social Survey (EASS): EASS 2016 Families in East Asia (e.g. intergenerational support, contact with children, division of household labor, and caregiving). / JGSS-2017/2018 dataset is published on the following data archiveｓ. / Japan: JGSSDDS (https://jgssdds.repo.nii.ac.jp) / USA: ICPSR (https://www.icpsr.umich.edu) / Please refer to the respective websites for data application procedure. / 2017-01 / 2018-04 / 満20歳以上89歳以下の男女個人 / Men and women 20-89 years of age living in Japan / 回収数（率）：JGSS-2017:744 (55.6%), JGSS-2018: 1,916 (54.3%) / Number of Valid Responses (response rate): JGSS-2017:744 (55.6%), JGSS-2018: 1,916 (54.3%) / 個人 / Individual / 量的調査: ミクロデータ / quantitative research: micro data / 確率: 層別抽出: 比例割当法 / 確率: 多段抽出 / Probability: Stratified: Proportional / Probability: Multistage / 個別面接法： 紙と鉛筆 （PAPI） / 自記式調査票：紙 / Face-to-face interview: Paper-and-pencil (PAPI) / Self-administered questionnaire: Paper / Keywords: 義務教育と就学前教育, 高等教育, 所得、財産、投資・貯蓄, 家族生活と結婚, 子ども, 住宅, 雇用, 労働条件, 失業, 労使関係・争議, 運輸と旅行, 社会移動と職業移動, 薬物乱用、アルコール、喫煙, メディア, 文化的活動と参加, 健康一般とウェルビーイング, 心理, 宗教と価値観, 植物と動物, ジェンダーと性別役割, 社会福祉政策, 地域社会、都市生活、農村生活, 環境と保全, 社会階層と社会集団, 平等、不平等、社会的排除, 政治行動と政治的態度, エネルギーと天然資源, Compulsory and pre-school education, Higher and further education, Income, property and investment/saving, Family life and marriage, Children, Housing, Employment, Working conditions, Unemployment, Labour relations/conflict, TRANSPORT AND TRAVEL, Social and occupational mobility, Drug abuse, alcohol and smoking, Media, Cultural activities and participation, General health and well-being, PSYCHOLOGY, Religion and values, Plants and animals, Gender and gender roles, Social welfare policy, Community, urban and rural life, Environment and conservation, SOCIAL STRATIFICATION AND GROUPINGS, Equality, inequality and social exclusion, Political behaviour and attitudes, Energy and natural resources【リソース】Fulltext

Germany PPI: Mfg: FP: GSS: Grain Mill data was reported at 99.100 2015=100 in Aug 2018. This records an increase from the previous number of 97.900 2015=100 for Jul 2018. Germany PPI: Mfg: FP: GSS: Grain Mill data is updated monthly, averaging 97.000 2015=100 from Jan 2015 (Median) to Aug 2018, with 44 observations. The data reached an all-time high of 101.000 2015=100 in Apr 2015 and a record low of 95.000 2015=100 in Jan 2017. Germany PPI: Mfg: FP: GSS: Grain Mill data remains active status in CEIC and is reported by Federal Statistics Office Germany. The data is categorized under Global Database’s Germany – Table DE.I025: Producer Price Index: 2015=100.

Cette statistique indique quels organismes récupéraient les produits invendus auprès des grandes surfaces spécialisées en 2018 et 2019. Dans près de ** % des GSS prises en compte lors du sondage, des associations s'occupaient de la collecte de dons.

Abstract

The AGRIS Ghana Pilot test was implemented in 4 districts of the Ashanti Region (Ahafo Ano South, Asante Akim North, Ejura Sekye Dumase, and Sekyere Afram Plains) in February 2018, to collect information on: - Crop and livestock production as well as data on farm characteristics, diversification and structures; - Farm revenues and expenses; - Type of labour used by the agricultural holding; - Farming practices and their linkages with the natural environment; - Farm machinery, equipment and assets.

The general objective of the pilot was to customize AGRIS instruments and methodologies for adoption as a standard tool to efficiently gather relevant and reliable agricultural data for policy making and monitoring the Sustainable Development Goals (SDGs).

The specific objectives of the AGRIS Ghana pilot were as follows: - Elaborate the overall set up of AGRIS in Ghana; - Customize the content of the AGRIS questionnaire to the Ghanaian context; - Assess the overall efficiency of the customized, integrated questionnaires and their feasibility in terms of length, flow, use of Computer Assisted Personal Interviewing (CAPI), and integration of core and rotating modules; - Assess the difficulty and relevance of each question, each section and each generic questionnaire for different types of holdings; - Test the use of Survey Solutions software to implement CAPI data collection, and the current version of the CAPI questionnaires; - Assess the relevance of the training material developed to train survey enumerators and supervisors.

Geographic coverage

District level coverage. The 4 district covered by the survey were: - Ahafo Ano South (CORE+PME) - Asante Akim North (CORE+MEA) - Ejura Sekye Dumase (CORE+LABOUR) - Sekyere Afram Plains (CORE+ECO)

Analysis unit

Agricultural holdings in the household sector

Universe

All households, agricultural or not, in the 4 surveyed districts.

Kind of data

Sample survey data [ssd]

Sampling procedure

1. The Sampling Frame The initial plan for the pilot survey was to consider as statistical units, agricultural holdings covering both the household and the non-household sectors, as proposed in the AGRIS methodology. For holdings in the household sector, no updated list of agricultural households in the country was available, and therefore a sampling frame needed to be established. To do so, the 2010 Population and Housing Census (PHC) was used to build a frame of EAs which were the primary sampling units (PSUs) of the adopted sampling design. After selecting the sample of PSUs in the four districts of interest, a complete list of holdings in the selected EAs was built. All households, agricultural or not, present in the selected EAs were listed.

Holdings in the non-household sector are by definition, economic units such as commercial farms and government institutions engaged in agricultural production. GSS and MoFA provided a list of these holdings to be used as sampling frame. Therefore, the plan was to use as the overall sampling frame a multiple frame composed of the two lists described above (one for the household sector and one for the non-household sector). However, after further discussion and evaluation, it was determined that the list of holdings in the non-household sector could not be considered as a reliable sampling frame for the targeted units. As a consequence, the data collected for the 80 non-household units could not be analysed to represent holdings in the nonhousehold sector.

1. The Sampling design A stratified two-stage sampling design was used for the holdings in the household sector. The PSUs were the EAs and the secondary sampling units (SSU) were the agricultural households.

2. The Sampling Size For holdings in the household sector, the calculation of sample size was performed fixing the minimum degree of precision required for the final estimates of main variables of interest. The variable considered to determine the sample size was the area of the agricultural land owned by the households. This information had been collected during the 2012-2013 Ghana Living Standards Survey 6 (GLSS6). Therefore, data from this survey was used to estimate the coefficient of variation (CV) of the variable of interest in the chosen four districts.
   It should be noted that the estimation domain of the GLSS6 was the region. For that survey, a two-stage sampling design was used and the PSUs (EAs) were selected in each region with the probability proportional to size (PPS). The measure of size was given by the number of individuals in each region, provided for the chosen districts for the AGRIS-Ghana pilot survey by the GLSS6. For the estimation of the CV of the households' agricultural land, it was assumed that the EAs sampled in GLSS6 and located in the target districts were selected in these districts with the same method of selection (PPS). Thus, the households included in the sample were supposed to have been selected with a two-stage sampling design.

The formula for the computation of the sampling size can be consulted in the final report of the survey.

The number of households to be surveyed in each PSU is fixed to 10. Therefore, the size of the sample of PSU is the size of the sample of the households divided by 10.

Sampling deviation

As mentioned in the sampling procedure section, holdings in the non-household sector were not included in the survey, as per initial plan, due to a problem in the listing frame provided by the Ghana Statistical Service.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The AGRIS Core module integrated with the Economic module (Core+ Eco) collected information on household and holding characteristics, agricultural production and economic activities of agricultural holdings. A full appraisal of the contents of the questionnaires can be get by downloading the questionnaires in the documentation section.

Response rate

Out of 370 households planned for interview, 366 were interviewed (98.91% response rate).