Graph and download economic data for Average Hourly Earnings of All Employees, Total Private (CES0500000003) from Mar 2006 to Jun 2025 about earnings, average, establishment survey, hours, wages, private, employment, and USA.

Browse LSEG's I/B/E/S Estimates, discover our range of data, indices & benchmarks. Our Data Catalogue offers unrivalled data and delivery mechanisms.

Over the last two observations, the average ad spending per internet user is forecast to significantly increase in all segments. This reflects the overall trend throughout the entire forecast period from 2018 to 2028. It is estimated that the indicator is continuously rising in all segments. In this regard, the Video ads mobile segment achieves the highest value of 84.81 U.S. dollars in 2028. The Statista Market Insights cover a broad range of additional markets.

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2010, the 2010 Census provides the official counts of the population and housing units for the nation, states, counties, cities and towns. For 2006 to 2009, the Population Estimates Program provides intercensal estimates of the population for the nation, states, and counties..Explanation of Symbols:.An ''**'' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An ''-'' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2000 data. Boundaries for urban areas have not been updated since Census 2000. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2006-2010 American Community Survey (ACS) data generally reflect the December 2009 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..The methodology for calculating median income and median earnings changed between 2008 and 2009. Medians over $75,000 were most likely affected. The underlying income and earning distribution now uses $2,500 increments up to $250,000 for households, non-family households, families, and individuals and employs a linear interpolation method for median calculations. Before 2009 the highest income category was $200,000 for households, families and non-family households ($100,000 for individuals) and portions of the income and earnings distribution contained intervals wider than $2,500. Those cases used a Pareto Interpolation Method..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2006-2010 American Community Survey

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, please visit the American Community Survey Technical Documentation website..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

United States Avg Weekly Earnings: LH: Historical Site & Similar data was reported at 595.020 USD in May 2018. This records a decrease from the previous number of 603.490 USD for Apr 2018. United States Avg Weekly Earnings: LH: Historical Site & Similar data is updated monthly, averaging 576.140 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 691.380 USD in Feb 2014 and a record low of 429.180 USD in May 2006. United States Avg Weekly Earnings: LH: Historical Site & Similar 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.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in New Site. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in New Site. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in New Site, the median household income stands at $83,750 for householders within the 45 to 64 years age group, followed by $68,125 for the 65 years and over age group. Notably, householders within the 25 to 44 years age group, had the lowest median household income at $57,250.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

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 New Site median household income by age. You can refer the same here

Avg Weekly Earnings: sa: LH: AER: Historical Site & Similar data was reported at 618.300 USD in May 2018. This records an increase from the previous number of 598.850 USD for Apr 2018. Avg Weekly Earnings: sa: LH: AER: Historical Site & Similar data is updated monthly, averaging 596.260 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 675.070 USD in Aug 2013 and a record low of 452.130 USD in May 2006. Avg Weekly Earnings: sa: LH: AER: Historical Site & Similar 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.G033: Current Employment Statistics Survey: Average Weekly and Hourly Earnings: Seasonally Adjusted.

According to Cognitive Market Research, the global Website Builder market size will be USD 3951.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 28.60% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 1580.6 million in 2024 and will grow at a compound annual growth rate (CAGR) of 26.8% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1185.4 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 908.8 million in 2024 and will grow at a compound annual growth rate (CAGR) of 30.6% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 197.58 million in 2024 and will grow at a compound annual growth rate (CAGR) of 28.0% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 79.03 million in 2024 and will grow at a compound annual growth rate (CAGR) of 28.3% from 2024 to 2031.
The PC Website Builders category is the fastest-growing segment of the Website Builder industry

Market Dynamics of Website Builder Market

Key Drivers for Website Builder Market

Rising Demand for Online Presence to Boost Market Growth: Small and medium-sized enterprises (SMEs) and entrepreneurs are increasingly recognizing the need for a digital presence to expand their reach, boost credibility, and drive sales. According to Curate Labs, by 2024, approximately 2 billion websites exist online, including 1.13 billion on the World Wide Web. Each day, around 252,000 new websites are created, with about 10,500 launched every hour. Globally, over 28% of businesses engage in online activities, and as of 2023, 71% of businesses have a website. Additionally, 43% of small businesses plan to enhance their website's performance, reflecting the growing importance of digital engagement. GoDaddy's Data Observatory India 2023 reveals that 55% of small businesses in India were established in the last five years, and 62% of them use websites, e-commerce platforms, or online stores as their primary sales channels. Website builders offer these businesses affordable, easy-to-use solutions for creating professional websites without requiring technical skills. This demand is expected to grow as more businesses, especially in developing regions, adopt digital transformation strategies

Increasing Mobile Internet Usage to Drive Market Growth: As more consumers access the internet through mobile devices, the demand for mobile-responsive websites continues to rise. In 2020, 90% of people in high-income countries were internet users, which increased to 93% by 2023, nearing universal access. In contrast, only 27% of the population in low-income countries uses the internet, up from 24% in 2022. This 66-percentage-point gap highlights the stark digital divide between high-income and low-income regions. Despite this, internet usage in low-income countries has grown by 44.1% since 2020, with a 14.3% increase in the past year alone. Website builders have adapted by offering mobile-first templates and optimization tools, ensuring that websites perform seamlessly across devices—an essential feature for attracting a diverse and growing user base.

Key Restraint Factor for the Website Builder Market

Limited Customization and Scalability Will Limit Market Growth: Many website builders offer pre-designed templates that limit the customization options for users. Businesses that need highly tailored or unique website designs might find the available options insufficient. This limitation could push users toward hiring professional web developers or using more customizable platforms like WordPress or custom-built sites. Some website builders offer basic SEO tools, but they may lack advanced options for optimizing websites for search engines. Users looking to perform in-depth on-page SEO (such as schema markup, custom metadata, or advanced page load speed optimizations) might find the limitations frustrating, especially for websites where search engine ranking is critical for traffic generation. Most website builders rely on shared hosting, meaning multiple websites are hosted on the same server. This increases the risk of vulnerabilities or breaches affecting multiple websites. B...

Estimations revealed that the fast fashion giant Shein generated an annual revenue of **** billion U.S. dollars in 2023. This is a significant increase since 2016, when the company supposedly reached a revenue of *** million U.S. dollars. Shein's benchmarks Among unicorn companies, or privately held companies with a market value at least *** billion U.S. dollars, Shein ranked in the top five with the highest valuations worldwide, totalling ** billion U.S. dollars in 2024. As a direct to consumer e-commerce unicorn, the company was ranked first as of December 2023. Additionally, when looking at the ranking of leading online stores in the fashion segment, Shein ranked second globally, further proving their widespread success as an e-commerce business. Who likes Shein? Who likes Shein? By the end of 2023, shein.com was the most popular fashion and apparel website worldwide by share of visits, followed by Nike and Macy’s websites. The age group that seemed to prefer using shein.com the most were the consumers between 25 and 34 years old, which accounted for over ** percent of global site visits. Of these consumers, the majority were women, making up over ** percent of visits.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in New Site, AL, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 12,464, while the mean income for the highest quintile (20% of households with the highest income) is 131,453. This indicates that the top earners earn 11 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 166,582, which is 126.72% higher compared to the highest quintile, and 1336.51% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 New Site median household income. You can refer the same here

About this dataset

Context

The dataset illustrates the median household income in New Site, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for New Site increased by $22,093 (49.33%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 10 years and declined for 3 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 New Site median household income. You can refer the same here

According to Cognitive Market Research, the global Web Design market size is USD 56815.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.50% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 22726.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 17044.56 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 13067.50 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.50% from 2024 to 2031.
Latin America had a market share for more than 5% of the global revenue with a market size of USD 2840.76 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.90% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 1136.30 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.2% from 2024 to 2031.
The Illustrative Web Design held the highest Web Design market revenue share in 2024.

Market Dynamics of Web Design Market

Key Drivers for Web Design Market

Responsive Design is a Fundamental Component of Modern Website Development to Increase the Demand Globally

Driving the extensive adoption of mobile devices, responsive design become an indispensable element in modern web development. A responsive website adjusts its visual and textual elements in real-time to correspond with the screen size and orientation of the user's device. This ensures a seamless and continuous user experience across an extensive range of devices, encompassing desktop computers, smartphones, and tablets. The aforementioned adaptability not only enhances usability but also satisfies the growing expectations of customers who predominately utilize mobile devices for internet access.

User Experience (UX) Design Pertains to the Development of an Online Platform to Propel Market Growth

The establishment of a website that is not only functional but also pleasurable to use constitutes User Experience (UX) design. It involves developing a website that effectively satisfies the needs and behaviors of users, as well as understanding their functions and desires. This consists of interactive elements that guide visitors towards their intended goals, concise and clear text, and user-friendly navigation. UX design that is effective reduces user resistance and promotes smooth experiences, allowing for effortless content engagement, information retrieval, and transaction completion. As a result, this promotes increased user satisfaction and devotion. By placing emphasis on the visual aesthetics and sensory experience of the website, User Interface (UI) design serves to improve User Experience (UX). The procedure involves the intention of creating visually appealing layouts, determining appropriate color schemes, and ensuring consistency throughout multiple pages.

Restraint Factor for the Web Design Market

Web Developers Encounter Significant Constraints as a Result of User Privacy Mandates

Web developers encounter significant constraints as a result of user privacy mandates. Data privacy legislation, exemplified by the General Data Protection Regulation (GDPR) in Europe, has implemented stringent controls regarding the collection and administration of user data. Compliance with these regulations adds complexity to web development processes, necessitating the integration of explicit consent mechanisms, data minimization strategies, robust data storage and security measures, and user rights-enabling mechanisms (e.g., access to and deletion of personal data). In order to adhere to these legislative obligations, online developers must conduct a thorough assessment of their data management procedures. This underscores the criticality of privacy compliance in the context of modern online development.

Rapidly Changing Design Trends and Technological Standards Increase Obsolescence

The web design industry faces the constant challenge of keeping up with evolving design aesthetics, UX/UI expectations, and technical standards. What is considered modern and user-friendly today can quickly become outdated within a short span due to shifting cons...

The website monetization platform market is experiencing robust growth, driven by the increasing number of websites and the evolving digital advertising landscape. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $45 billion by 2033. This growth is fueled by several key factors. Firstly, the rising adoption of mobile devices and the proliferation of online content are creating a larger audience for advertisers, boosting demand for effective monetization solutions. Secondly, the sophistication of advertising technologies, including programmatic advertising and advanced analytics, allows for more targeted and efficient campaigns, improving ROI for both website owners and advertisers. Furthermore, the emergence of new monetization models, such as influencer marketing and subscription services, is diversifying revenue streams and fostering market expansion. The market is segmented by application (Large Enterprises and SMEs) and type of website (Website, App, Video), with large enterprises currently dominating due to their higher budgets and sophisticated monetization strategies. However, SMEs are rapidly adopting these platforms due to their ease of use and potential for increased revenue generation. Competitive intensity is high, with established players like Google AdSense and Amazon Associates facing competition from specialized platforms like Semrush and Taboola, along with a rising number of smaller, niche players. Geographic distribution shows North America and Europe as leading markets, reflecting high internet penetration and established digital advertising ecosystems. However, rapid growth is anticipated in Asia-Pacific, driven by increasing internet usage and rising digital advertising expenditure in countries like China and India. Market restraints include challenges related to ad fraud, user privacy concerns, and the increasing adoption of ad blockers. However, these challenges are also driving innovation within the industry, leading to the development of more transparent and user-friendly monetization solutions that prioritize user experience while maximizing revenue generation for website owners. The ongoing evolution of technology and increasing demand for advanced analytics will continue to shape the future trajectory of the website monetization platform market.

Explore the progression of average salaries for graduates in Website Management from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Website Management relative to other fields. This data is essential for students assessing the return on investment of their education in Website Management, providing a clear picture of financial prospects post-graduation.

United States Avg Weekly Earnings: LH: AER: Museums, Hist Sites, Zoos, & Parks data was reported at 646.060 USD in May 2018. This records a decrease from the previous number of 664.910 USD for Apr 2018. United States Avg Weekly Earnings: LH: AER: Museums, Hist Sites, Zoos, & Parks data is updated monthly, averaging 616.320 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 711.900 USD in Jan 2017 and a record low of 485.570 USD in May 2006. United States Avg Weekly Earnings: LH: AER: Museums, Hist Sites, Zoos, & Parks 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.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.

Explore the progression of average salaries for graduates in Web Based Networking from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Web Based Networking relative to other fields. This data is essential for students assessing the return on investment of their education in Web Based Networking, providing a clear picture of financial prospects post-graduation.

2013-2023 Virginia Median Household Income based on the past 12 months by Census County or County equivalent. Contains estimates and margins of error.

U.S. Census Bureau; American Community Survey, American Community Survey 5-Year Estimates, Table B19013 Data accessed from: Census Bureau's API for American Community Survey (https://www.census.gov/data/developers/data-sets.html)

The United States Census Bureau's American Community Survey (ACS): -What is the American Community Survey? (https://www.census.gov/programs-surveys/acs/about.html) -Geography & ACS (https://www.census.gov/programs-surveys/acs/geography-acs.html) -Technical Documentation (https://www.census.gov/programs-surveys/acs/technical-documentation.html)

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section. (https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html)

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section. (https://www.census.gov/acs/www/methodology/sample_size_and_data_quality/)

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties.

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation https://www.census.gov/programs-surveys/acs/technical-documentation.html). The effect of nonsampling error is not represented in these tables.

Annotation values are character representations of estimates and have values when non-integer information needs to be represented. Below are a few examples. Complete information is available on the ACS website under Notes on ACS Estimate and Annotation Values. (https://www.census.gov/data/developers/data-sets/acs-1year/notes-on-acs-estimate-and-annotation-values.html)

A value of -666,666,666 in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.

A value of -222,222,222 in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.

United States Avg Hourly Earnings: LH: AER: Museums, Hist Sites, Zoos, & Parks data was reported at 22.910 USD in May 2018. This records a decrease from the previous number of 23.330 USD for Apr 2018. United States Avg Hourly Earnings: LH: AER: Museums, Hist Sites, Zoos, & Parks data is updated monthly, averaging 21.270 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 24.380 USD in Jan 2017 and a record low of 16.970 USD in Aug 2006. United States Avg Hourly Earnings: LH: AER: Museums, Hist Sites, Zoos, & Parks 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.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.