This layer shows median household income by race and by age of householder. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Median income and income source is based on income in past 12 months of survey. This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2015-2019ACS Table(s): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 10, 2020National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census: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 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.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations: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.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.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

In 2022, San Francisco had the highest median household income of cities ranking within the top 25 in terms of population, with a median household income in of 136,692 U.S. dollars. In that year, San Jose in California was ranked second, and Seattle, Washington third.

Following a fall after the great recession, median household income in the United States has been increasing in recent years. As of 2022, median household income by state was highest in Maryland, Washington, D.C., Utah, and Massachusetts. It was lowest in Mississippi, West Virginia, and Arkansas. Families with an annual income of 25,000 and 49,999 U.S. dollars made up the largest income bracket in America, with about 25.26 million households.

Data on median household income can be compared to statistics on personal income in the U.S. released by the Bureau of Economic Analysis. Personal income rose to around 21.8 trillion U.S. dollars in 2022, the highest value recorded. Personal income is a measure of the total income received by persons from all sources, while median household income is “the amount with divides the income distribution into two equal groups,” according to the U.S. Census Bureau. Half of the population in question lives above median income and half lives below. Though total personal income has increased in recent years, this wealth is not distributed throughout the population. In practical terms, income of most households has decreased. One additional statistic illustrates this disparity: for the lowest quintile of workers, mean household income has remained more or less steady for the past decade at about 13 to 16 thousand constant U.S. dollars annually. Meanwhile, income for the top five percent of workers has actually risen from about 285,000 U.S. dollars in 1990 to about 499,900 U.S. dollars in 2020.

Graph and download economic data for Employed Persons in the District of Columbia (LAUST110000000000005A) from 1976 to 2024 about DC, household survey, persons, employment, and USA.

Graph and download economic data for Employed Persons in Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA) (LAUMT114790000000005) from Jan 1990 to Aug 2025 about DC, Washington, WV, MD, VA, household survey, persons, employment, and USA.

Non-contact Voltage Detectors Market Outlook

The global non-contact voltage detectors market size is anticipated to grow from USD 135 million in 2023 to USD 200 million by 2032, reflecting a Compound Annual Growth Rate (CAGR) of approximately 4.5%. Key growth factors include increasing safety regulations, rising adoption of electrical and electronic devices, and growing awareness regarding electrical safety among consumers and professionals.

One of the primary drivers of the non-contact voltage detectors market is the increasing emphasis on safety measures across various sectors. With the growing complexity of electrical systems in residential, commercial, and industrial settings, the need for devices that ensure safety without direct contact has surged. Non-contact voltage detectors provide a convenient and reliable solution for detecting voltage presence, thereby preventing electrical hazards. The rise in stringent regulatory frameworks mandating the use of safety equipment further fuels market growth.

Another significant factor propelling market growth is the expansion of the construction and real estate sectors. With the ongoing urbanization and industrialization, there is a notable increase in the construction of residential and commercial buildings. This expansion necessitates the use of efficient electrical systems and safety devices, including non-contact voltage detectors. Moreover, the renovation and retrofitting of existing infrastructures to comply with modern safety standards are also contributing to the increasing demand for these devices.

The proliferation of smart homes and the Internet of Things (IoT) is also driving the demand for non-contact voltage detectors. As more households and businesses incorporate advanced technologies and smart electrical appliances, the need for monitoring and ensuring the safety of these devices becomes paramount. Non-contact voltage detectors provide an efficient way to detect and troubleshoot electrical issues without interrupting the system, thereby promoting the seamless operation of smart devices. This trend is expected to bolster the market growth significantly over the forecast period.

The introduction of advanced technologies such as the Pulsed DC Voltage Detector is expected to further enhance the capabilities of non-contact voltage detectors. This innovative technology allows for the detection of voltage in DC circuits, which is particularly beneficial in environments where DC power systems are prevalent. The Pulsed DC Voltage Detector provides an added layer of safety by enabling users to identify live DC circuits without direct contact, thereby reducing the risk of electric shocks. As industries increasingly adopt DC power systems for energy efficiency and reliability, the demand for such advanced detection tools is likely to grow. This development aligns with the broader trend of integrating cutting-edge technologies into safety equipment to meet the evolving needs of various sectors.

Regionally, North America dominates the non-contact voltage detectors market, followed by Europe and the Asia Pacific. The dominance of North America can be attributed to the high awareness regarding electrical safety, robust regulatory frameworks, and the presence of leading market players. Europe also shows strong growth prospects due to stringent safety regulations and the increasing adoption of advanced electrical systems. The Asia Pacific is poised to exhibit the highest CAGR during the forecast period, driven by rapid industrialization, urbanization, and growing safety awareness in emerging economies such as China and India.

Product Type Analysis

The non-contact voltage detectors market can be segmented by product type into Pen Type, Plug-in Type, and Others. Pen type non-contact voltage detectors are the most widely used due to their compact design and ease of use. These devices are particularly popular among electricians and DIY enthusiasts for quick voltage detection tasks. The portability and convenience of pen-type detectors make them an essential tool in various applications, from residential maintenance to professional electrical inspections.

Plug-in type non-contact voltage detectors, on the other hand, are typically used in more specific applications where continuous monitoring of electrical outlets or devices is required. These detectors are favored in commercial and industrial settings where there is a need to ensure constant safety che

As per Cognitive Market Research's latest published report, the Global High Voltage Power Supply (HVPS) market size will be $12,342.57 Million by 2028.High Voltage Power Supply (HVPS) Industry's Compound Annual Growth Rate will be 4.69% from 2023 to 2030.

The North America High Voltage Power Supply (HVPS) market size will be USD 3,300.40 Million by 2028.

What are the key driving factors for the High Voltage Power Supply (HVPS) market?

Growing adoption of home and building automation systems

Growing adoption of home and building automation systems help in automating the security of a building using video surveillance and biometric systems. Other than this, many other benefits including lower energy expenditures, boost productivity, lower maintenance costs, improved security and comfort enhancement can be achieved by the building automation systems. Increasing security concerns coupled with growing disposable income in developed as well as growing economies are driving the demand of building automation systems. A video surveillance system monitors records the behavior and activities of people. Now a days, surveillance systems are deployed at airports, schools, office buildings, and so on. Several governments have made it mandatory to install these systems for the protection of public places and critical infrastructure owing to the growing focus on security issues due to increasing terrorist attacks and criminal activities.

Many of the smart devices or automation requires consistent power supply. Smart homes and smart offices often require control systems with many low power nodes, actuators and sensors that are “always on”. With technological advancement, low cost AC/DC power supplies for home automation can power smart building infrastructure 24/7 with very low standby power consumption (as low as 35mW), extra-wide input voltage range and full household (IEC/EN60335-1), CE (LVD+EMC+RoHS2) and industrial safety certifications (IEC/EN/UL60950). As per the requirement of automation system’s complex control circuitry is implemented in high voltage power supply which enables the user to control the output as per the user demand.

Therefore, increasing demand of automation in building coupled with use of high voltage power supply expected to drive the growth of the market.

Restraints for High Voltage Power Supply (HVPS) Market

Various regional/country-wise regulatory and safety standards.(Access Detailed Analysis in the Full Report Version)

Opportunities for High Voltage Power Supply (HVPS) Market

Increasing requirement of power supply in medical and healthcare devices.(Access Detailed Analysis in the Full Report Version)

What is High Voltage Power Supply HVPS?

High voltage power supply is a power supply that converts low AC/DC voltage into higher voltage potential. The term “high voltage” is relative not quantitative, but once voltages are above 62Vdc the possibility for bodily harm are present so suitable safety measures must be used. In some industries, high voltage states to voltage above a certain threshold. The output voltages for high voltage ranges of 62V to 500kV. However, the International Electrotechnical Commission and its national counterparts (IET, IEEE, VDE, etc.) define high voltage as above 1000 V for alternating current, and at least 1500 V for direct current. In addition, the United States, the National Electrical Manufacturer's Association (NEMA) defines high voltage as over 100 to 230 kV.

Modern high voltage power supplies employ power conversion topologies based on SMPS (Switched-mode power supply) technology, to convert the low-frequency low voltage input to high voltages at the output. The principal idea of SMPS is to achieve this conversion utilizing high-frequency switches, such as MOSFETs, and a high-frequency transformer. The high voltage power supply transforms the rectified and filtered DC bus voltages, gained by rectification of the mains input, to high-frequency AC with the help of high-frequency switches.

These switches are usually switched above 20kHz and are controlled by varying the duty-ratio, to regulate the power transfer. This high-frequency AC is further amplified to higher voltages by a high-frequency transformer. This transformer is the prime source of galvanic isolation. The stepped-up voltages are rectified, multiplied, an...

Approximately ** percent of villages in India were estimated to be electrified in 2019. Rural areas and country sides are also known as villages in India.

Rural electrification in India

While most urban households in India use electricity as a main source of lighting, only about half of the rural households had access to electricity in 2011. The efforts toward rural electrification began in the *****, with success in the recent years. One of the recent government projects launched in September 2017, the Saubhagya scheme or Pradhan Mantri Sahaj Bijli Har Ghar Yojana aimed to provide electricity to all households in the country. Each household was provided with one LED light and a DC power plug including repair and maintenance of meter for five years.

Electricity generation in India

With various sources of power generation, most of the country’s electricity generation is from coal-based thermal power plants. The Vindhyachal thermal power station in Madhya Pradesh is the biggest thermal power plant and is owned by National Thermal Power Corporation (NTPC), a state-owned enterprise.

Discover the booming voltage endurance tester market! This in-depth analysis reveals market size, CAGR, key drivers, trends, and restraints, covering applications in EVs, medical devices, and more. Explore regional breakdowns and leading companies shaping this dynamic sector.

The global Voltage Endurance Tester market is poised for significant growth, projected to reach an estimated USD 850 million in 2025, with a robust Compound Annual Growth Rate (CAGR) of 7.5% anticipated through 2033. This expansion is fueled by the escalating demand for stringent electrical safety standards across a multitude of industries, including household electric appliances, power equipment, medical apparatus, and the automotive sector. The increasing complexity and miniaturization of electronic devices necessitate precise and reliable testing of their dielectric strength and insulation integrity. Key drivers include the continuous innovation in electrical and electronic product manufacturing, the growing emphasis on consumer safety, and the need for compliance with international regulatory frameworks. Furthermore, advancements in testing methodologies and the development of more sophisticated, automated, and user-friendly voltage endurance testers are contributing to market adoption. The market is segmented by application, with Household Electric Appliances representing a substantial share due to the pervasive use of electrical goods and the inherent safety concerns. By type, both AC and DC Withstand Voltage Testers are integral, catering to diverse testing requirements of different electrical components and systems. The market's trajectory is further bolstered by emerging trends such as the integration of IoT capabilities in testing equipment for remote monitoring and data analytics, and the development of compact, portable testers for on-site applications. The rising adoption of electric vehicles and the expansion of renewable energy infrastructure also present significant opportunities for voltage endurance testers. However, the market faces certain restraints, including the high initial investment cost for advanced testing equipment and the availability of counterfeit products that may compromise testing accuracy and reliability. Geographically, the Asia Pacific region, particularly China and India, is expected to lead market growth due to its burgeoning manufacturing base and increasing focus on product quality and safety. North America and Europe also remain crucial markets, driven by established regulatory landscapes and a strong emphasis on safety compliance in their advanced industrial sectors. Companies like Kikusui Electronics, Fluke Calibration, and Chroma are at the forefront of innovation, introducing cutting-edge solutions to meet the evolving demands of this dynamic market. This report provides a comprehensive analysis of the global Voltage Endurance Tester market, delving into its intricate dynamics, key trends, and future projections. The study examines the technological advancements, regulatory landscape, and evolving industry needs that shape the demand for these critical safety and compliance instruments. With a focus on market segmentation by application, type, and region, this report aims to equip stakeholders with actionable insights for strategic decision-making.

ACS 1-year estimates are based on data collected over one calendar year, offering more current information but with a higher margin of error. ACS 5-year estimates combine five years of data, providing more reliable information but less current. Both are based on probability samples. Some racial and ethnic categories are suppressed to avoid misleading estimates when the relative standard error exceeds 30%.

Data Source: American Community Survey (ACS) 1- & 5-Year Estimates

Why This Matters Housing is a basic necessity, and affordable housing is essential for individuals and families to live and thrive in DC.The rising cost of housing threatens residents’ access to safe and stable housing as well as their ability to cover other essential expenses like food, transportation, and childcare.Racial segregation, housing discrimination, and racist urban renewal programs, among other policies and practices, have meant that Black residents and residents of color in the District disproportionately experience the effects of rapidly rising housing costs. The District's Response Leading the nation in policies and investments for low-income rental households. Target of 12,000 new affordable housing units by 2025. Steps taken to preserve and expand affordable housing include the Housing Production Trust Fund, the Affordable Housing Preservation Fund, and the Home Purchasing Assistance Program, among others.

Public Housing DevelopmentsThis National Geospatial Data Asset (NGDA) dataset, shared as a Department of Housing and Urban Development (HUD) feature layer, displays the locations of public housing developments in the United States. Per HUD, "Public housing was established to provide decent and safe rental housing for eligible low-income families, the elderly, and persons with disabilities. Public housing comes in all sizes and types, from scattered single-family houses to high rise apartments for elderly families."D.C. Housing AuthorityData currency: current federal service (Public Housing Developments)NGDAID: 131 (Assisted Housing - Public Housing Developments - National Geospatial Data Asset (NGDA))OGC API Features Link: Not AvailableFor more information, please visit: Public HousingSupport documentation: see Data Dictionary: DD_Public Housing DevelopmentsFor feedback, please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Real Property Theme Community. Per the Federal Geospatial Data Committee (FGDC), Real Property is defined as "the spatial representation (location) of real property entities, typically consisting of one or more of the following: unimproved land, a building, a structure, site improvements and the underlying land. Complex real property entities (that is "facilities") are used for a broad spectrum of functions or missions. This theme focuses on spatial representation of real property assets only and does not seek to describe special purpose functions of real property such as those found in the Cultural Resources, Transportation, or Utilities themes."For other NGDA Content: Esri Federal Datasets