A survey conducted in February 2025 found that the most important issue for ** percent of Americans was inflation and prices. A further ** percent of respondents were most concerned about jobs and the economy.

Analysis of ‘Polling station sectors in 2020 ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/613c2a4d8adb4dd5892bd965 on 18 January 2022.

--- Dataset description provided by original source is as follows ---

• * Seal of polling stations in 2020 * *

Representation of the disorder of polling stations applicable from February 2020.

Surface layer of polling station sectors from SIEL (Election Information System).

The boundaries of the sectors do not necessarily pass through the axis of the tracks, are not based on building boundaries and can cut up an island. The layout takes account of the location of the address points and aims to cover all the address points attached to a polling station.

The voting office sectors are defined by the Elections and Population Records Office of the Directorate for Democracy, Citizens and Territories (DCSD)

--- Original source retains full ownership of the source dataset ---

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Analysis of ‘Polling Stations - Roscommon’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/6339df4a-9878-451f-b60e-a0269a4d0809 on 13 January 2022.

--- Dataset description provided by original source is as follows ---

Polling Station Locations in County Roscommon.

--- Original source retains full ownership of the source dataset ---

Nearly a third of Romanians considered exit polls on the day of elections to be a trustworthy source of information in 2024. However, it was mainly people with medium income. Meanwhile, low-income Romanians considered the most trustworthy source of information for elections to be opinion polls ordered by political parties, while high-income people mostly trusted opinion polls organized by media or NGOs.

This dataset supports a research project in the field of digital medicine, which aims to quantify the impact of disseminating scientific information on social media—as a form of "meta-intervention"—on public adherence to Non-Pharmaceutical Interventions (NPIs) during health crises such as the COVID-19 pandemic. The research encompasses multiple sub-studies and pilot experiments, drawing data from various global and China-specific social media platforms.The data included in this submission has been collected from several sources:From Sina Weibo and Tencent WeChat, 189 online poll datasets were collected, involving a total of 1,391,706 participants. These participants are users of Sina Weibo or Tencent WeChat.From Twitter, 187 tweets published by scientists (verified with a blue checkmark) related to COVID-19 were collected.From Xiaohongshu and Bilibili, textual content from 143 user posts/videos concerning COVID-19, along with associated user comments and specific user responses to a question, were gathered.It is important to note that while the broader research project also utilized a 3TB Reddit corpus hosted on Academic Torrents (academictorrents.com), this specific Reddit dataset is publicly available directly from Academic Torrents and is not included in this particular DataHub submission. The submitted dataset comprises publicly available data, formatted as Excel files (.xlsx), and includes the following:Filename: scientists' discourse (source from screenshot of tweets)Description: This file contains screenshots of tweets published by scientists on Twitter concerning COVID-19 research, its current status, and related topics. It also includes a coded analysis of the textual content from these tweets. Specific details regarding the coding scheme can be found in the readme.txt file.Filename: The links of online polls (Weibo & WeChat)Description: This data file includes information from online polls conducted on Weibo and WeChat after December 7, 2022. These polls, often initiated by verified users (who may or may not be science popularizers), aimed to track the self-reported proportion of participants testing positive for COVID-19 (via PCR or rapid antigen test) or remaining negative, particularly during periods of rapid Omicron infection spread. The file contains links to the original polls, links to the social media accounts that published these polls, and relevant metadata about both the poll-creating accounts and the online polls themselves.Filename: Online posts & comments (From Xiaohongshu & Bilibili)Description: This file contains textual content from COVID-19 related posts and videos published by users on the Xiaohongshu and Bilibili platforms. It also includes user-generated comments reacting to these posts/videos, as well as user responses to a specific question posed within the context of the original content.Key Features of this Dataset:Data Type: Mixed, including textual data, screenshots of social media posts, web links to original sources, and coded metadata.Source Platforms: Twitter (global), Weibo/WeChat (primarily China), Xiaohongshu (China), and Bilibili (video-sharing platform, primarily China).Use Case: This dataset is intended for the analysis of public discourse, the dissemination of scientific information, and user engagement patterns across different cultural contexts and social media platforms, particularly in relation to public health information.

This graph shows the percentage of votes of the 2012 presidential elections in the United States on November 6, 2012, by ethnicity. According to the exit polls, about 71 percent of Hispanic voters nationwide have voted for Barack Obama. Elections in the U.S. The process of electing the President and the Vice President in the United States is an indirect vote in which citizens of the United State, 18 years of age or older have the right to vote for a slate of electors, who cast the votes that decide who becomes the President of the United States.

The presidential election in 2012, which was held on November 6, was the re-election of the Democratic Party’s nominee Barack Obama, who won the elections with about 65.9 million votes from the U.S. population. His opponent Mitt Romney, who was the Republican Party’s nominee for President of the United States, gathered about 60.9 million votes.

The voting rates vary from state to state, 75.9 percent of American citizen voted in District in Columbia, while 47.8 percent of the citizens voted in the presidential elections in 2012. The total voting rate stood at 61.8 percent in the United States.

It is important for the Parties to reach the voting population in the country when the Presidential elections are coming up. Campaigns have many financial sources, such as donations and fundraisers. Fundraising plays a big role in presidential campaigns. In the election period from 2011 to 2012, about 1.36 billion U.S. dollars were spent for Presidential Campaign finance.

The disbursement received for Presidential Campaign financing of the Democratic Party stood at 737.1 million U.S. dollar between 2011 and 2012, while the Presidential Campaign of the Republican Party spent 633.4 U.S. dollar.

An opinion poll conducted in Turkey in September 2021 revealed Turkish people's thoughts on the costliness of renewable energy sources compared to the finite energy sources. One-third of the respondents thought that electricity generation from renewable sources would be more expensive than using sources such as coal and natural gas.

This survey was conducted among residents of California on many topics including most important problem, registered to vote, candidate and party preference, propositions, source of information about campaign, and campaign spending.

Publication Year: 23 AUG 2011 (last updated)Associated Layers:Annotation:Shared boundaries: voting precinctsAssociated Applications:GIS Website: Supermap, Real Estate GIS AGSMashup website:Pictometry:New Real Estate GISOriginal Source(optional):Responsible Dept: Registrars Office

This statistic displays the results of a survey on the most important news media in Denmark in 2016. During the survey period, **** percent of the Danish respondents considered television to be their most important news medium.

Abstract

This research was conducted in Lithuania from June 19 to July 31, 2002, as part of the second round of the Business Environment and Enterprise Performance Survey. The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through face-to-face interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

The survey topics include company's characteristics, information about sales and suppliers, competition, infrastructure services, judiciary and law enforcement, security, government policies and regulations, bribery, sources of financing, overall business environment, performance and investment activities, and workforce composition.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment.

Universe

The manufacturing and services sectors are the primary business sectors of interest.

Kind of data

Sample survey data [ssd]

Sampling procedure

The information below is taken from "The Business Environment and Enterprise Performance Survey - 2002. A brief report on observations, experiences and methodology from the survey" prepared by MEMRB Custom Research Worldwide (now part of Synovate), a research company that implemented BEEPS II instrument.

The general targeted distributional criteria of the sample in BEEPS II countries were to be as follows:

1) Coverage of countries: The BEEPS II instrument was to be administered to approximately 6,500 enterprises in 28 transition economies: 16 from CEE (Albania, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Estonia, FR Yugoslavia, FYROM, Hungary, Latvia, Lithuania, Poland, Romania, Slovak Republic, Slovenia and Turkey) and 12 from the CIS (Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Moldova, Russia, Tajikistan, Turkmenistan, Ukraine and Uzbekistan).

2) In each country, the sector composition of the total sample in terms of manufacturing versus services (including commerce) was to be determined by the relative contribution of GDP, subject to a 15% minimum for each category. Firms that operated in sectors subject to government price regulations and prudential supervision, such as banking, electric power, rail transport, and water and wastewater were excluded.

Eligible enterprise activities were as follows (ISIC sections): - Mining and quarrying (Section C: 10-14), Construction (Section F: 45), Manufacturing (Section D: 15-37) - Transportation, storage and communications (Section I: 60-64), Wholesale, retail, repairs (Section G: 50-52), Real estate, business services (Section K: 70-74), Hotels and restaurants (Section H: 55), Other community, social and personal activities (Section O: selected groups).

3) Size: At least 10% of the sample was to be in the small and 10% in the large size categories. A small firm was defined as an establishment with 2-49 employees, medium - with 50-249 workers, and large - with 250 - 9,999 employees. Companies with only one employee or more than 10,000 employees were excluded.

4) Ownership: At least 10% of the firms were to have foreign control (more than 50% shareholding) and 10% of companies - state control.

5) Exporters: At least 10% of the firms were to be exporters. A firm should be regarded as an exporter if it exported 20% or more of its total sales.

6) Location: At least 10% of firms were to be in the category "small city/countryside" (population under 50,000).

7) Year of establishment: Enterprises which were established later than 2000 should be excluded.

The sample structure for BEEPS II was designed to be as representative (self-weighted) as possible to the population of firms within the industry and service sectors subject to the various minimum quotas for the total sample. This approach ensured that there was sufficient weight in the tails of the distribution of firms by the various relevant controlled parameters (sector, size, location and ownership).

As pertinent data on the actual population or data which would have allowed the estimation of the population of foreign-owned and exporting enterprises were not available, it was not feasible to build these two parameters into the design of the sample guidelines from the onset. The primary parameters used for the design of the sample were: - Total population of enterprises; - Ownership: private and state; - Size of enterprise: Small, medium and large; - Geographic location: Capital, over 1 million, 1 million-250,000, 250-50,000 and under 50,000; - Sub-sectors (e.g. mining, construction, wholesale, etc).

For certain parameters where statistical information was not available, enterprise populations and distributions were estimated from other accessible demographic (e.g. human population concentrations in rural and urban areas) and socio-economic (e.g. employment levels) data.

Sampling deviation

The survey was discontinued in Turkmenistan due to concerns about Turkmen government interference with implementation of the study.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Screener and Main Questionnaires.

The survey topics include company's characteristics, information about sales and suppliers, competition, infrastructure services, judiciary and law enforcement, security, government policies and regulations, bribery, sources of financing, overall business environment, performance and investment activities, and workforce composition.

Cleaning operations

Data entry and first checking and validation of the results were undertaken locally. Final checking and validation of the results were made at MEMRB Custom Research Worldwide headquarters.

Response rate

Overall, in all BEEPS II countries, the implementing agency contacted 18,052 enterprises and achieved an interview completion rate of 36.93%.

Respondents who either refused outright (i.e. not interested) or were unavailable to be interviewed (i.e. on holiday, etc) accounted for 38.34% of all contacts. Enterprises which were contacted but were non-eligible (i.e. business activity, year of establishment, etc) or quotas were already met (i.e. size, ownership etc) or to which “blind calls” were made to meet quotas (i.e. foreign ownership, exporters, etc) accounted for 24.73% of the total number of enterprises contacted.

Abstract

This research was conducted in Haiti in October 2019, as part of the of the Enterprise Survey. The objective of the study is to obtain feedback from enterprises in client countries on the state of the private sector. The research is also used to build a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through face-to-face interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

In Haiti, data from 149 establishments were taken from listings from three sources: UNOPS 2018, UNICEF 2018, and Haiti Business Database 2018. The survey topics include firm characteristics, infrastructure and services, sales and supplies, management practices, degree of competition, innovation, land and permits, crime, finance, mobile money, insurance, business-government relations, labor, business environment, performance, and post-interview information.

Geographic coverage

The entire sample is composed of four communes in Port-au-Prince Arrondissement: - Port-au-Prince commune - Delmas commune - Peiton-Ville commune - Tabarre commune

Because of safety concerns on the ground or during transit, the following communes in Port-au-Prince Arrondissement were excluded from the sample: - Carrefour - Cite Soleil - Gressier - Kenscoff

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

Following the standard methodological approach, the sample is comprised of businesses that employ 5 or more employees and have at least some private ownership. However, departing from the global methodology, some businesses in the professional and support services activities which are not part of the standard Universe of Inference of the ES were included in the Haiti survey.

Kind of data

Sample survey data[ssd]

Sampling procedure

Attempts were made to obtain quality sampling frames. However due to the lack of reliable data, the sample frame was limited to listings of firms from three sources: UNOPS 2018, UNICEF 2018, and Haiti Business Database 2018. In addition, corrections to the sampling frame were made as interviewers were in the field and new businesses were found.

The entire sample is composed of four communes in Port-au-Prince Arrondissement: - Port-au-Prince commune - where fieldwork was determined depending on the day and level of violence on that particular day. - Delmas commune - where fieldwork was determined depending on the day and level of violence on that particular day. - Peiton-Ville commune - which is considered one of the wealthier communes; fieldwork was conducted during the mornings before protesters make their way there. - Tabarre commune - which was comparatively safer when no protests were planned.

The sampling strategy from the onset began by mapping the locations of the firms in the sampling frame and determining the safety situation. As safety windows appeared, interviewers would go to areas and try to screen and conduct the interview in the business. A total of 149 firms were interviewed.

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).

BLM Alaska PLSS Intersected: This dataset represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-Attribute section of this metadata describes these components in greater detail.

The National Survey of College Graduates is a repeated cross-sectional biennial survey that provides data on the nation's college graduates, with a focus on those in the science and engineering workforce. This survey is a unique source for examining the relationship of degree field and occupation in addition to other characteristics of college-educated individuals, including work activities, salary, and demographic information.

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

This dataset represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific 'production' or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys), and the Bureau of Census 2015 Cartographic State Boundaries. The Entity-Attribute section of this metadata describes these components in greater detail. Please note that the data on this site, although published at regular intervals, may not be the most current PLSS data that is available from the BLM. Updates to the PLSS data at the BLM State Offices may have occurred since this data was published. To ensure users have the most current data, please contact the BLM PLSS Data Set Manager.

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

The Engineering and Transportation Department operates a robust graffiti abatement program. Its strategic approach includes proactive abatement through directed patrols across the City.Tempe performs a yearly survey to identify the number of tags within the City of Tempe. The survey is conducted along several roads from city limit to city limit by the City of Tempe Transportation Maintenance. The average number of tags per mile is calculated to assess graffiti abatement impact and efficacy.This page provides data for the Graffiti Removal performance measure. Summary of annual graffiti survey showing overall average graffiti tags per mile of surveyed road segments.The performance measure dashboard is available at 3.22 Graffiti Removal.Additional InformationSource: Contact: Isaac A. ChaviraContact E-Mail: Isaac_Chavira@tempe.govData Source Type: ExcelPreparation Method: Publish Frequency: AnnualPublish Method: ManualData Dictionary