About this dataset

Context

The dataset illustrates the median household income in Washington, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 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 2021, the median household income for Washington increased by $22,148 (28.05%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 10 years and declined for 1 years.

https://i.neilsberg.com/ch/washington-dc-median-household-income-trend.jpeg" alt="Washington, DC median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

Content

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

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2021
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2022 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 Washington median household income. You can refer the same here

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Washington. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2012 and 2022, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Washington, the median household income for the households where the householder is White increased by $10,137(7.28%), between 2012 and 2022. The median household income, in 2022 inflation-adjusted dollars, was $139,221 in 2012 and $149,358 in 2022.
• Black or African American: In Washington, the median household income for the households where the householder is Black or African American increased by $10,762(21.47%), between 2012 and 2022. The median household income, in 2022 inflation-adjusted dollars, was $50,129 in 2012 and $60,891 in 2022.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

https://i.neilsberg.com/ch/washington-dc-median-household-income-by-race-trends.jpeg" alt="Washington, DC median household income trends across races (2012-2022, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Washington.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented in 2022-inflation-adjusted dollars.

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 Washington median household income by race. You can refer the same here

This dataset tracks annual reading and language arts proficiency from 2010 to 2022 for DC Prep PCS School District vs. District of Columbia

About this dataset

Context

The dataset tabulates the median household income in Washington. It can be utilized to understand the trend in median household income and to analyze the income distribution in Washington by household type, size, and across various income brackets.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Washington, DC Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Washington, DC: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Washington, DC
• Washington, DC households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Washington median household income. You can refer the same here

About this dataset

Context

The dataset tabulates the District of Columbia population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of District of Columbia across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of District of Columbia was 678,972, a 1.20% increase year-by-year from 2022. Previously, in 2022, District of Columbia population was 670,949, an increase of 0.29% compared to a population of 669,037 in 2021. Over the last 20 plus years, between 2000 and 2023, population of District of Columbia increased by 107,196. In this period, the peak population was 708,253 in the year 2019. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the District of Columbia is shown in this column.
• Year on Year Change: This column displays the change in District of Columbia population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 District of Columbia Population by Year. You can refer the same here

This dataset tracks annual math proficiency from 2010 to 2022 for DC Prep PCS School District vs. District of Columbia

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in District of Columbia. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2012 and 2022, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In District of Columbia, the median household income for the households where the householder is White increased by $10,137(7.28%), between 2012 and 2022. The median household income, in 2022 inflation-adjusted dollars, was $139,221 in 2012 and $149,358 in 2022.
• Black or African American: In District of Columbia, the median household income for the households where the householder is Black or African American increased by $10,762(21.47%), between 2012 and 2022. The median household income, in 2022 inflation-adjusted dollars, was $50,129 in 2012 and $60,891 in 2022.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

https://i.neilsberg.com/ch/district-of-columbia-dc-median-household-income-by-race-trends.jpeg" alt="District of Columbia, DC median household income trends across races (2012-2022, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in District of Columbia.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented in 2022-inflation-adjusted dollars.

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 District of Columbia median household income by race. You can refer the same here

About this dataset

Context

The dataset illustrates the median household income in District of Columbia, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 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 2021, the median household income for District of Columbia increased by $22,148 (28.05%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 10 years and declined for 1 years.

https://i.neilsberg.com/ch/district-of-columbia-dc-median-household-income-trend.jpeg" alt="District of Columbia, DC median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

Content

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

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2021
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2022 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 District of Columbia median household income. You can refer the same here

This dataset tracks annual graduation rate from 2012 to 2022 for The Seed Pcs Of Washington Dc vs. District Of Columbia and SEED PCS School District

Rail AC-DC Converters Market, Rail AC-DC Converters Market Size, Rail AC-DC Converters Market Trends, Rail AC-DC Converters Market Forecast, Rail AC-DC Converters Market Risks, Rail AC-DC Converters Market Report, Rail AC-DC Converters Market Share

Market Overview:

The global DC-DC optimizers market is expected to grow at a CAGR of 10.5% from 2022 to 2030. The growth of the market can be attributed to the increasing demand for renewable energy sources and rising concerns about greenhouse gas emissions worldwide. In addition, the growing demand for electric vehicles is also contributing significantly to the growth of this market. The global DC-DC optimizers market has been segmented on the basis of type, application, and region. On the basis of type, the market has been divided into internal installation and external installation segments.

Product Definition:

A DC-DC Optimizer is a device that takes in multiple input voltages and outputs a single, optimized voltage. This is done by converting the input voltages into electrical currents, then manipulating those currents to create the desired output voltage. The importance of DC-DC optimizers comes from their ability to improve power efficiency in systems where there are multiple power sources. By consolidating these sources into a single, optimized output, DC-DC optimizers can help reduce system heat and improve overall performance.

Internal Installation:

Internal installation is the process of installing an electric component within a structure. Internal installation reduces the overall cost of electrical components due to less external wiring. It also provides protection against short circuits and power fluctuations by limiting the flow of current from one terminal to another.

External Installation:

External Installation (EI) is a method of installing DC DC optimizers that involves the use of an external power supply. It helps in preventing damage to the internal components and also aids in cooling. The system can be used with all types of DCDC converters including step-down, buck, boost, and linear regulators.

Application Insights:

The utility segment dominated the global market and accounted for a revenue share of over 60%. The segment is expected to witness significant growth on account of increasing demand for power generation from industrial sectors. Increasing number of coal-fired power plants across the globe has resulted in increased need for efficient DC optimization solutions. The residential sector is expected to grow at a CAGR exceeding 7% from 2022 to 2030 owing to rising adoption rate of energy efficient products coupled with government initiatives promoting renewable sources such as solar and wind energy.

Regional Analysis:

North America dominated the global market in terms of revenue share. The region is expected to continue its dominance over the forecast period owing to high demand for power quality solutions from end-users and an increasing number of data centers. Asia Pacific is projected to be the fastest-growing regional market during the forecast period. This growth can be attributed to rising investments by governments across various countries, particularly China and India, for improving power infrastructure facilities as well as expanding commercial office spaces. Moreover, growing industrialization coupled with increasing demand for energy efficiency solutions will drive regional product demand further.

Growth Factors:

• Increasing demand for energy efficiency in data centers.
• The proliferation of data center infrastructure and the growth of cloud computing.
• The need to reduce environmental impact and increase sustainability.
• Rising electricity rates worldwide 5 Increased awareness of the benefits of DC optimizers.

Report Scope

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Report Attributes	Report Details
Report Title	DC DC Optimizers Sales Market Research Report
By Product Type	Internal Installation, External Installation
By Application Segment	Residential, Commercial, Utility
By Sales Channel	Direct Channel, Distribution Channel

The global DC switchgear market is projected to grow from USD 17.2 billion in 2025 to USD 32.6 billion by 2035, reflecting a compound annual growth rate (CAGR) of 6.6%.

Metric	Value
Industry Size (2025E)	USD 17.2 billion
Industry Value (2035F)	USD 32.6 billion
CAGR (2025 to 2035)	6.6%

Country-wise Outlook

Country	CAGR (2025 to 2035)
USA	6.9%

Country	CAGR (2025 to 2035)
UK	6.3%

Region	CAGR (2025 to 2035)
EU	6.5%

Country	CAGR (2025 to 2035)
Japan	6.2%

Country	CAGR (2025 to 2035)
South Korea	6.7%

Competitive Outlook

Company Name	Estimated Market Share (%)
ABB Ltd.	12-16%
Siemens AG	10-14%
Schneider Electric	8-12%
Eaton Corporation	6-10%
Mitsubishi Electric Corporation	4-8%
Other Companies (combined)	45-55%

The global DC-DC converter market demand is likely to be valued at US$ 10,934.0 million in 2023 and is forecasted to value at US$ 22,395.4 million capturing a CAGR of 7.4% from 2023 to 2033. From 2018 to 2022, a CAGR of 5.3% was registered for the DC-DC converter market.

Attributes	Key Statistics
Growth Rate (2018 to 2022)	5.3% CAGR
Projected Growth Rate (2023 to 2033)	7.4% CAGR
Expected Market Value (2023)	US$ 10,934.0 million
Anticipated Forecast Value (2033)	US$ 22,395.4 million

Report Scope

Attributes	Details
Growth Rate	CAGR of 7.4% from 2023 to 2033
Expected Market Value (2023)	US$ 10,934.0 million
Anticipated Forecast Value (2033)	US$ 22,395.4 million
Base Year for Estimation	2022
Historical Data	2018 to 2022
Forecast Period	2023 to 2033
Quantitative Units	Revenue in US$ million and CAGR from 2023 to 2033
Report Coverage	Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis
Segments Covered	Product Type Number of Output Application Region
Regions Covered	North America Europe Asia Pacific Japan The Middle East and Africa
Key Countries Profiled	The United States Canada Mexico Brazil Germany Italy France The United Kingdom Spain China Japan South Korea Malaysia Singapore Australia New Zealand GCC Countries South Africa Israel
Key Companies Profiled	General Electric Texas Instruments Eaton FDK Corporation Cosel Ltd. Ericsson STMicroelectronics TDK-Lambda Corporation Bel Fuse, Inc. Rectifier Technologies Pacific ABB Ltd. Delta Electronics Inc. Infineon Technologies AG
Customization	Available Upon Request

Global DC-AC Inverter of EV Market Report 2022 comes with the extensive industry analysis of development components, patterns, flows and sizes. The report also calculates present and past market values to forecast potential market management through the forecast period between 2022-2028. The report may be the best of what is a geographic area which expands the competitive landscape and industry perspective of the market.

The North America DC Distribution Network Market is poised to grow at a CAGR of 7.83% during the forecast period of 2025-2033. The market was valued at XX Million in 2025 and is expected to reach XX Million by 2033. The robust growth of the market can be attributed to increasing demand for electricity from data centers, rising adoption of renewable energy sources, and stringent government regulations on energy efficiency. Major drivers contributing to the growth of the North America DC Distribution Network Market include increasing investments in data centers, growing demand for renewable energy sources, and supportive government policies. Furthermore, rising awareness about energy efficiency and reliable power supply are also fueling the growth of the market. Key trends shaping the market are the adoption of advanced technologies such as artificial intelligence (AI) and machine learning (ML), as well as the integration of renewable energy sources into the grid. However, high initial investment costs and complex regulatory frameworks pose challenges to the market's growth. Recent developments include: January 2022: Eaton announced a USD 4.9 million award from the US Department of Energy to reduce the cost and complexity of deploying a direct-current (DC) distribution network for fast electric vehicle charging in the country. Eaton is likely to develop and demonstrate a novel, compact, and turnkey solution for DC fast-charging infrastructure that is likely to reduce costs by 65% through improvements in power conversion and grid interconnection technology, charger integration and modularity, and installation time., March 2022: In line with shared commitments to decarbonize, National Grid and Siemens Energy teamed up to undertake an upgrade of a National Grid substation using Siemens Energy-designed fluorinated gas-free Blue DC circuit breakers, which are made of clean air insulation and vacuum switching technology. Scheduled for commissioning in the year 2023, Siemens Energy's Blue DC circuit breakers will be installed in Massachusetts, United States, in substations that serve several Massachusetts communities. The first Siemens Energy Blue circuit breaker installation will be in the National Grid's US electricity network.. Key drivers for this market are: 4., Increasing Integration Of Renewable Energy Generation4.; Aging Power Grids And Investments In Transmission And Distribution Infrastructure. Potential restraints include: 4., Lack Of Investor Confidence Due To Sociopolitical Instability In Some Countries. Notable trends are: Low and Medium Voltage Segment to Dominate the Market.

Market Size and Growth: The South America DC Distribution Network market is estimated to reach a value of XX million by 2033, expanding at a CAGR of 3.15% during the forecast period of 2025-2033. The market growth is primarily driven by the increasing adoption of data centers, commercial buildings, and EV fast charging systems. Remote cell towers and military applications also contribute to the growing demand for DC distribution networks. Market Drivers, Trends, and Restraints: Key drivers of the South America DC Distribution Network market include the growing digital infrastructure, rising demand for reliable power supply, and increasing investment in renewable energy sources. Furthermore, the trend towards smart and sustainable cities is expected to further drive market growth. However, factors such as high installation costs and limited grid infrastructure in certain regions pose challenges for the market. Recent developments include: December 2022: The government of Colombia announced that it plans to connect up to 3,000 MW of its renewable energy capacity to the national grid via an overhead high-voltage direct current (HVDC) transmission line in the country's north., July 2022: Sterlite Power Grid Ventures Limited announced that it had won two HVDC transmission projects in Brazil through its subsidiary Sterlite Brazil. The project is spanned across 5,425 kilometers of transmission lines in Brazil.. Key drivers for this market are: 4., Substantial Investments and Efforts to Modernize the T&D Grid. Potential restraints include: 4., Expansion of High Voltage Direct Current (HVDC) Networks. Notable trends are: EV Fast Charging Systems to Witness Significant Growth.

This dataset tracks annual overall school rank from 2013 to 2022 for Dc Scholars Pcs

About this dataset

Context

The dataset illustrates the median household income in Washington, 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 Washington increased by $24,061 (29.26%), 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 12 years and declined for 1 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 Washington median household income. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Washington. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2022

Based on our analysis ACS 2022 1-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Washington, the median income for all workers aged 15 years and older, regardless of work hours, was $74,531 for males and $61,102 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 18% between the median incomes of males and females in Washington. With women, regardless of work hours, earning 82 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Washington.

- Full-time workers, aged 15 years and older: In Washington, among full-time, year-round workers aged 15 years and older, males earned a median income of $105,561, while females earned $87,028, leading to a 18% gender pay gap among full-time workers. This illustrates that women earn 82 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Washington, showcasing a consistent income pattern irrespective of employment status.

https://i.neilsberg.com/ch/washington-dc-income-by-gender.jpeg" alt="Washington, DC gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2022
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Washington median household income by gender. You can refer the same here

The global AC-DC controller market is expected to be valued at US$ 6,943.6 million in 2023 and is projected to reach US$ 14,624.3 million by 2033. A CAGR worth 7.7% is expected for the market during the forecast period.

Data Points	Key Statistics
Expected Market Value (2023)	US$ 6,943.6 million
Projected Forecast Value (2033)	US$ 14,624.3 million
Anticipated Growth Rate (2023 to 2033)	7.7%

By Product Type, which AC-DC Controllers Segment is likely to Dominate?

Segment	Isolated AC-DC Controllers
Market Share % (2022)	65.5%

Why is the Industrial Segment Projected to Gain Maximum Traction?

Segment	Industrial Applications
Market Share % (2022)	34.4%

Region-wise Analysis

Region	North America
Market Share % (2022)	29.4%

Region	Europe
Market Share % (2022)	25.6%

Report Scope

Attribute	Details
Growth Rate	7.7% CAGR from 2023 to 2033
Market Value for 2023	US$ 6,943.6 million
Market Value for 2033	US$ 14,624.3 million
Base Year for Estimation	2022
Historical Data	2018 to 2022
Forecast Period	2023 to 2033
Quantitative Units	US$ million for Value
Report Coverage	Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis
Segments Covered	Type Output Power Application Region
Regions Covered	North America Latin America Europe Asia Pacific The Middle East and Africa
Key Countries Profiled	The United States Canada Brazil Mexico Germany France The United Kingdom Italy BENELUX Nordic Countries Russia China Japan South Korea GCC Countries South Africa
Key Companies Profiled	ON Semiconductor NXP Semiconductors Infineon Technologies, Inc. Texas Instruments Incorporated Diodes Incorporated Campbell Scientific, Inc. ROHM Semiconductor Richtek Technology Curtiss-Wright
Report Customization & Pricing	Available upon Request