This statistic shows the opinions of human resources (HR) practitioners by if online recruiting is faster at employee recruitment, as of January 2017. During the survey, 47.3 percent of the respondents agreed that online recruiting brings them candidates faster.

This dataset is about book series and is filtered where the books is An introduction to statistics with Python : with applications in the life sciences, featuring 10 columns including authors, average publication date, book publishers, book series, and books. The preview is ordered by number of books (descending).

United States Employment: NF: PW: PB: Convention & Trade Show Organizer data was reported at 50.400 Person th in May 2018. This records a decrease from the previous number of 51.000 Person th for Apr 2018. United States Employment: NF: PW: PB: Convention & Trade Show Organizer data is updated monthly, averaging 40.500 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 55.800 Person th in Oct 2002 and a record low of 29.900 Person th in Jul 2010. United States Employment: NF: PW: PB: Convention & Trade Show Organizer data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G030: Current Employment Statistics Survey: Employment: Production Worker: Non Farm.

This statistic shows the favorability rating of The Late Show with Stephen Colbert in the United States as of March 2019. Around 22 percent of respondents stated that they had a very favorable opinion of The Late Show with Stephen Colbert as of March 2019, with a further 20 percent reporting a somewhat favorable opinion.

About this dataset

Context

The dataset tabulates the population of Show Low by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Show Low across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 51.59% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Show Low is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Show Low total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Show Low Population by Gender. You can refer the same here

Mobile consumers will have the largest edge computing footprint worldwide, which will account for 21.7 percent of the overall infrastructure edge power footprint by 2028. The edge footprint is measured by the aggregate IT power rating of the edge infrastructure equipment and the edge data center facilities that are deployed. It shows the scale of edge infrastructure needed in order to meet the use case demands.

What is edge computing?  

Edge computing is the delivering of storage, computing, and network capabilities to the locations where date is generated, through which less latency, reduced cost, and greater performance are obtained. It is a technology that complements the traditional centralized cloud computing model, as the fast-growing number of connected devices demand greater computing and network support closer to the end users. The worldwide edge computing market is projected to reach revenues of 250.6 billion U.S. dollars by 2024.

 Adoption of edge computing  

Across industries, adoption of edge computing is on the agenda. The manufacturing industry is most ready to adopt the technology, followed by utilities and telecommunications. Use cases that require low latency, such as autonomous driving and cloud gaming, are enabled by edge computing. Other verticals such as smart cities, where millions of devices are connected at the same time, also depend on edge computing to provide the network capacity, as the centralized cloud model cannot sustain this amount of device and data transmission.

The Annual Survey of Manufactures (ASM) provides key intercensal measures of manufacturing activity, products, and location for the public and private sectors. The ASM provides the best current measure of current U.S. manufacturing industry outputs, inputs, and operating status, and is the primary basis for updates of the Longitudinal Research Database (LRD). Census Bureau staff and academic researchers with sworn agent status use the LRD for micro data analysis.

These tables show discovery statistics for NEAs and comets discovered by NASA's WISE mission - now renamed to NEOWISE. The first small table shows the number of NEAs, PHAs (a sub-group of NEAs), and comets discovered to-date (within a day or two). The second table shows each object discovered, sorted by designation, with selected parameters describing the object's orbit. http://neo.jpl.nasa.gov/stats/wise/

Economics: National Ocean Watch (ENOW) contains annual time-series data for about 400 coastal counties, 30 coastal states, and the nation, derived from the Bureau of Labor Statistics and the Bureau of Economic Analysis. It describes 23 industries in six economic sectors that depend on the oceans and Great Lakes and measures four economic indicators: Establishments, Employment, Wages, and Gross...

Twitter user statistics show a varying degree of how often users login to the platform. Here’s what it looks like.

Statistics illustrates consumption, production, prices, and trade of Refrigerating or Freezing Display Counters, Cabinets, Show-cases in Dominica from 2007 to 2024.

Midyear population estimates and projections for all countries and areas of the world with a population of 5,000 or more // Source: U.S. Census Bureau, Population Division, International Programs Center// Note: Total population available from 1950 to 2100 for 227 countries and areas. Other demographic variables available from base year to 2100. Base year varies by country and therefore data are not available for all years for all countries. For the United States, total population available from 1950-2060, and other demographic variables available from 1980-2060. See methodology at https://www.census.gov/programs-surveys/international-programs/about/idb.html

This statistic, based on data provided by Parrot Analytics, shows a ranking of the most popular digital original television shows based on audience demand in China in the first quarter of 2019. During this period, the Netflix series House of Cards was the most in-demand digital original show in mainland China with approximately 44.2 million demand expressions.

Statistics illustrates consumption, production, prices, and trade of Tubes; data/graphic display, black and white or other monochrome in Democratic People's Republic of Korea from 2007 to 2024.

Movements in the volume of production for the UK production industries: manufacturing, mining and quarrying, energy supply, and water and waste management. Figures are seasonally adjusted.

The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

In this file there are statistics for a number of variables broken down by Malmö’s different areas over time. Sources Unless otherwise stated, the statistics in this database are retrieved from Statistics Sweden’s (SCB) regional database, Skånedatabasen or from Statistics Sweden’s area statistics database (OSDB). The Skåne database and OSDB show data from several different sources that Statistics Sweden has compiled on a geographical level. The statistics only cover persons who are part of the population registered in the population. Therefore, persons without a residence permit, such as asylum seekers, and persons who simply have not registered in the municipality are not included. Statistics Sweden does not provide statistics on which language residents speak, which religion you belong to or what ethnicity or political views you have. Therefore, such data is not available here either. However, the Electoral Authority reports election results per constituency on its website val.se. There are statistics from the last election as well as several previous elections available. Please note, however, that the constituencies do not necessarily follow the division of the city made here. Update The data is updated every spring as Statistics Sweden releases the figures to the municipality. Most variables are available for the year before. However, income and employment data are released with another year’s backlog. Unless otherwise stated, the date of measurement is 31 December of each year. Geographical breakdown Unless otherwise stated, the data is available for Malmö as a whole and broken down into urban areas (5 pieces), districts (10 pieces) and subareas (136 pieces). In addition to these, there is a residual post that contains the people who are not written in a specific place in the municipality, have protected identity and more. These people are also part of the total. In several of the subareas there are no or only a few registered population registers. Therefore, no data are reported for these areas. Examples of such sub-areas are parks such as Pildammsparken and Kroksbäcksparken and industrial areas such as Fosieby Industriområde and Spillepengen. Privacy clearance In order to protect the identity of individuals, the data is confidentially audited. This means that small values are suppressed, i.e. replaced by empty cells. However, the values are included in summaries. In general, the following rules apply: • No statistics are reported for geographical areas with very few housing. No cells with fewer than 5 individuals are reported. For data classified as sensitive (e.g. income and country of birth), larger values can also be suppressed. • In cases where a subcategory (e.g. a training category) is too small to be accounted for, all categories are often suppressed. Please use the numbers, but use “City Office, Malmö City” as the source.

The Nonemployer Statistics by Demographics (NES-D): Company Summary estimates provide economic data classified by sex, ethnicity, race, and veteran status of nonemployer firms. The NES-D is not a survey; rather, it leverages existing administrative records to assign demographic characteristics to the universe of nonemployer businesses. The nonemployer universe is comprised of businesses with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries), and filing IRS tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series). Data for all firms are also presented. These estimates are produced by combining estimates for nonemployer firms from the Nonemployer Statistics by Demographics (NESD) and employer firms from the Annual Business Survey (ABS).

About this dataset

Context

The dataset tabulates the population of Louisville by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Louisville across both sexes and to determine which sex constitutes the majority.

Key observations

There is a considerable majority of male population, with 74.14% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Louisville is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Louisville total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Louisville Population by Race & Ethnicity. You can refer the same here