American Community Survey Public Use Micro Sample, augmented by NYC Opportunity.

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 is designed as part of a program of social indicator research, replicating questionnaire items and wording in order to facilitate time-trend studies. The 2006 GSS features special modules on mental health and social networks. Items on religion cover denominational affiliation, church attendance, religious upbringing, personal beliefs, and religious experiences.

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 collection provides annual data on jail populations across the nation and examines the "spillover" on local jails resulting from the dramatic growth in federal and state prison populations. These data are used to track growth in the number of jails and their capacities nationally, changes in the demographics of the jail population (including sex, race, and adult or juvenile status), supervision status of persons held, prevalence of crowding issues, and a count of non-United States citizens within the jail population.

Abstract

The documentation covers Enterprise Survey panel datasets that were collected in Uruguay in 2006, 2010 and 2017. The Enterprise Survey is a firm-level survey of a representative sample of an economy's private sector. The surveys cover a broad range of business environment topics including access to finance, corruption, infrastructure, crime, competition, and performance measures. The objective of the Enterprise Survey is to gain an understanding of what firms experience in the private sector.

As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted improving the business environment as a key strategy for development, which has led to a systematic effort in collecting enterprise data across countries. The Enterprise Surveys (ES) are an ongoing World Bank project in collecting both objective data based on firms' experiences and enterprises' perception of the environment in which they operate.

Geographic coverage

National coverage

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The samples for 2006, 2010 and 2017 Uruguay Enterprise Surveys were selected using stratified random sampling, following the methodology explained in the Sampling Note.

Three levels of stratification were used in Honduras ES: industry, establishment size, and region.

In 2006 ES, industry stratification was designed in the following way: In small economies the population was stratified into 3 manufacturing industries, one services industry - retail-, and one residual sector as defined in the sampling manual. Each industry had a target of 120 interviews.

In 2010 ES, industry stratification was designed in the way that follows: the universe was stratified into 3 manufacturing industries, 1 service industry -retail -, and 1 residual sector as defined in the sampling manual. All sectors had a target of 120 interviews. Regional stratification was defined in two regions (city and the surrounding business area): Montevideo and Canelones.

In 2017 ES, industry stratification was designed as follows: the universe was stratified into Manufacturing industries (ISIC Rev. 3.1 codes 15-37), Retail industries (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72). For the Uruguay ES, size stratification was defined as follows: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees). Regional stratification was done across two regions: Montevideo and Canelones.

Mode of data collection

Face-to-face [f2f]

Research instrument

Two questionnaires - Manufacturing amd Services were used to collect the survey data.

The Questionnaires have common questions (core module) and respectfully additional manufacturing- and services-specific questions. The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the core module, plus manufacturing specific questions). Retail firms have been interviewed using the Services questionnaire (includes the core module plus retail specific questions) and the residual eligible services have been covered using the Services questionnaire (includes the core module).

The International Trade (v2.01) data compiled by the Correlates of War Project is the result of the effort to code trade flows between states (as defined by the Project) for the period 1870-2006. The data include information on both bilateral trade flows and total national imports and exports. Four data files are included with this collection: (1) dyadic trade statistics, (2) national trade statistics, and (3) and (4) supplementary information about dyadic and national trade statistics.

The National Crime Victimization Survey: Unbounded Data (also referred to as the All Rotations Data) are now being made available to the public for analytic use. These data differ from the \regular\ National Crime Victimization Survey (NCVS) data in that

This report summarises data from the 2006 Northern Territory (NT) Midwives’ Collection. It includes population characteristics of mothers, maternal health status,antenatal information, conditions and procedures used in labour and childbirth as well as birth outcomes of all births that occurred in 2006. While the NT Midwives’ Collection contains information on both NT resident and interstate residents who gave birth in the NT, the focus of this report is NT residents who gave birth in the NT.

Source: From lending institutions and local authorities This data contains an unquantified element of refinancing of existing mortgages (e.g. involving the redemption of an existing mortgage and its replacement with a mortgage from a different lender). This data is not directly comparable with post 2007 data from IBF The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change.

Presents the full data set underlying PISA 2006 Volume 1: Analysis. Includes data on student performance in science, student engagement in science, quality and equity in schools, school and system characteristics, and student performance in reading and mathematics.

500k User Session Collection This collection is distributed for NON-COMMERCIAL RESEARCH USE ONLY. Any application of this collection for commercial purposes is STRICTLY PROHIBITED. #### Brief description: This collection consists of ~20M web queries collected from ~650k users over three months. The data is sorted by anonymous user ID and sequentially arranged. The goal of this collection is to provide real query log data that is based on real users. It could be used for personalization, query reformulation or other types of search research. The data set includes AnonID, Query, QueryTime, ItemRank, ClickURL. AnonID - an anonymous user ID number. Query - the query issued by the user, case shifted with most punctuation removed. QueryTime - the time at which the query was submitted for search. ItemRank - if the user clicked on a search result, the rank of the item on which they clicked is listed. ClickURL - if the user clicked on a search result, the domain portion of the URL i

Full documentation of the data from CDC can be found at http://www.cdc.gov/brfss/annual_data/annual_2006.htm; this upload includes only a selection of columns determined by The Urban Institute

This layer shows the Population distribution by quarter type in 2006 within the 18 districts of Hong Kong. It is a subset of the census data 2006 made available by the Census and Statistics Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in XLSX format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

Katz, Daniel; Lovett, Gary; Canham, Charles (2022). Cary Forest Plot Data 2006. Cary Institute. Dataset. https://doi.org/10.25390/caryinstitute.19139891.v1

This file set contains the complete registered meteorological data from the "Tarfala met" AWS 2006. Included in the file set are the complete set of data split into files for each parameter, the original logger data, the Matlab program that takes the logger data and generates the parameter files and finally the report summarizing the data and any issues or changes made during the year.

This web map shows the Population distribution by household sizes in 2006 within the 18 districts of Hong Kong. It is a subset of the census data 2006 made available by the Census and Statistics Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in XLS format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

Dataset including information on wildfires in the province of Alberta from 2006 to 2024, inclusive. Information tracked for each fire includes: cause, size, location (latitude and longitude, legal land description, and forest area), time and duration, weather conditions, staffing and physical resources used to suppress the fire, and area burned.

The data shows the state-wise and centre-wise details of retail price of various categories of agricultural products in 2006.

The amount of mobile data used in Sweden increased significantly over the period from 2006 to 2019. Starting at *** terabytes in 2006, the amount of used mobile data reached ********* terabytes in 2019 in Sweden.

This web map shows the Population distribution by marital status in 2006 within the 18 districts of Hong Kong. It is a subset of the census data 2006 made available by the Census and Statistics Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in XLS format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

This record contains 2006 North Carolina consumer data compiled by ReferenceUSA. The data include household information including size, construction type, and geographic location along with predictors of household wealth and income.