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.

This file contains all of the cases and variables that are in the original 2018 General Social Survey, but is prepared for easier use in the classroom. Changes have been made in two areas. First, to avoid confusion when constructing tables or interpreting basic analysis, all missing data codes have been set to system missing. Second, many of the continuous variables have been categorized into fewer categories, and added as additional variables to the file. 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. To download syntax files for the GSS that reproduce well-known religious group recodes, including RELTRAD, please visit the ARDA's Syntax Repository.

The 2018 General Social Survey - Instructional Dataset has been updated as of June 2024. This release includes additional interview-specific variables and survey weights.

The General Social Surveys (GSS) have been conducted by the "https://www.norc.org/Pages/default.aspx" Target="_blank">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. The 2016-2020 GSS consisted of re-interviews of respondents from the 2016 and 2018 Cross-Sectional GSS rounds. All respondents from 2018 were fielded, but a random subsample of the respondents from 2016 were released for the 2020 panel. Cross-sectional responses from 2016 and 2018 are labelled Waves 1A and 1B, respectively, while responses from the 2020 re-interviews are labelled Wave 2.

The 2016-2020 GSS Wave 2 Panel also includes a collaboration between the General Social Survey (GSS) and the "https://electionstudies.org/" Target="_blank">American National Election Studies (ANES). The 2016-2020 GSS Panel Wave 2 contained a module of items proposed by the ANES team, including attitudinal questions, feelings thermometers for presidential candidates, and plans for voting in the 2020 presidential election. These respondents appear in both the ANES post-election study and the 2016-2020 GSS panel, with their 2020 GSS responses serving as their equivalent pre-election data. Researchers can link the relevant GSS Panel Wave 2 data with ANES post-election data using either ANESID (in the GSS Panel Wave 2 datafile) or V200001 in the ANES 2020 post-election datafile.

Dataset

This dataset was created by Juan Otero

Contents

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 2016 GSS.

The 2016 cross-sectional General Social Survey has been updated as of October 2024. This release includes additional interview-specific variables and respondent demographic information. 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.

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 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.

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 ** billion Canadian dollars in 2021, marking an increase of nearly ** billion Canadian dollars from 2018. Conversely, this value declined by almost half in 2023, amounting to **** billion Canadian dollars.

This article investigates: What groups were most affected by COVID-19? How did mental health diagnosis and substance use disorder patterns change? Most importantly, what can these data show us about what was done immediately after COVID-19 to alleviate mental health and substance use diagnoses and how might we better address future public health challenges? This analysis utilized data from multiple national surveys to examine trends in mental health and substance use and the availability of treatment facilities. The analysis focused on both before and after the COVID-19 pandemic specifically in 2018 and 2022. The primary data sources were the General Social Survey (GSS), the Mental Health Client-Level Data (MH-CLD) data set, and the National Substance Use and Mental Health Services Survey (N-SUMHSS). This analysis reveals significant shifts in both mental health and substance use trends following the COVID-19 pandemic.

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 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.

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.

Abstract

This dataset consists of monthly trade and CPI data on alcoholic beverages, food and tobacco products in Ghana. The dataset was provided by the Ghana Statistical Services (GSS) as part of the SALDRU/Economics of Tobacco Control initiative under the Data on Aliments, Tobacco and Alcohol (DATA) in Africa Project (IDRC Project 108772-001). The DATA project aims to advance economic research focused on the prevention and control of behavior-related non-communicable diseases.

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]

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.

PPI: Mfg: FB: FP: GSS: Starch Products data was reported at 105.600 2015=100 in Oct 2018. This records an increase from the previous number of 104.900 2015=100 for Sep 2018. PPI: Mfg: FB: FP: GSS: Starch Products data is updated monthly, averaging 102.400 2015=100 from Jun 2004 (Median) to Oct 2018, with 173 observations. The data reached an all-time high of 125.000 2015=100 in Sep 2011 and a record low of 82.500 2015=100 in Aug 2005. PPI: Mfg: FB: FP: GSS: Starch 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.

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

This zip file contains the Code History Database for the United Kingdom as at April 2018. To download the zip file click the Download button. The Code History Database (CHD) contains the GSS nine-character codes, where allocated, for current and new statistical geographies from 1 January 2009. The codes consist of a simple alphanumeric structure; the first three characters (ANN) represent the area entity (i.e. type; or category of geography) and the following six characters (NNNNNN) represent the specific area instance. The CHD provides multiple functionality including details of codes, relationships, hierarchies and archived data. The CHD can be used in conjunction with the Register of Geographic Codes (RGC) that summarises the range of area instances within each geographic entity. The GSS Coding and Naming policy for some statistical geographies was implemented on 1 January 2011. From this date, where new codes have been allocated they should be used in all exchanges of statistics and published outputs that normally include codes. For further information on this product, please read the user guide and version notes contained within the product zip file. Updated GeographiesUpdates to Parishes (E04) (name change), Wards (E05) (name change), NMD (E07) (name change), Clinical Commissioning Groups in England (E38), NHS (Region, Local Office) (E39) and NHS England Regions (E40)Updates to Council Areas (S13) and Wards (S13)Updates to the Change History, SI Details, Name Changes, Equivalents table and Information table.Database ChangesUpdates to form design to account for December 2017 version have been made.