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TwitterIn 2023, the finance, insurance, real estate, rental, and leasing industry contributed a real value of 154.7 billion chained 2017 U.S. dollars to the Gross Domestic Product (GDP) of Pennsylvania. The mining, quarrying, and oil and gas extraction industry added 12.98 billion chained 2017 U.S. dollars of value to the state's GDP in that same year.
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Number of Pennsylvania companies appearing in the annual Inc. 5000 list of Fastest Growing Companies in America by industry (top industries in 2020 ranked by number of companies)
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The Major Household Appliance Manufacturing industry in Pennsylvania is expected to decline an annualized -x.x% to $x.x million over the five years to 2025, while the national industry will likely decline at -x.x% during the same period. Industry establishments stagnated an annualized x% to x locations. Industry employment has decreased an annualized -x.x% to xx workers, while industry wages have decreased an annualized -x.x% to $x.x million.
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TwitterThe vacancy rate of big-box warehouses in Eastern Pennsylvania Tri-State (Pennsylvania-New Jersey-Delaware) rose sharply in 2023, after falling to a record low in 2021. In 2023, about *** percent of big-box industrial and logistics properties were vacant, up from the ***** percent in 2022, when the vacancy rate was at its lowest. Despite the increase, the vacancy rate in the Eastern PA-Southern NJ big-box market was lower than the average for the country. Big-box buildings refer to large industrial buildings used for distribution.
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The Major Label Music Production industry in Pennsylvania is expected to grow an annualized x.x% to $x.x million over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments increased an annualized x.x% to xx locations. Industry employment has increased an annualized x.x% to xxx workers, while industry wages have increased an annualized x.x% to $x.x million.
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TwitterThe big-box building inventory in Eastern Pennsylvania-Southern New Jersey has grown year-on-year since 2011. In the first half of 2023, the total square footage of big-box industrial space amounted to *** million square feet. The total inventory in the U.S. has followed a similar trend during the observation period. Big-box buildings refers to large industrial buildings used for distribution.
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Context
The dataset tabulates the Industry population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Industry. The dataset can be utilized to understand the population distribution of Industry by age. For example, using this dataset, we can identify the largest age group in Industry.
Key observations
The largest age group in Industry, PA was for the group of age 30-34 years with a population of 143 (8.90%), according to the 2021 American Community Survey. At the same time, the smallest age group in Industry, PA was the 75-79 years with a population of 27 (1.68%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Industry Population by Age. You can refer the same here
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TwitterAbandoned railroads and infrastructure from the anthracite coal mining industry are significant features in abandoned mine lands and are an important part of history; however, these features are often lost and masked by the passage of time and the regrowth of forests. The application of modern light detection and ranging (lidar) topographic analysis, combined with ground-truthing "boots on the ground" mapping, enable recovery of the location of these historical features. Waste rock piles and abandoned mine lands from historical mining locally appear as distinct features on the landscape depicted on the percent slope map. Abandoned, and in many places demolished, infrastructure such as breakers, turntables, rail beds, water tanks, tram piers, and bridge abutments, to name a few, were confirmed in the field and located with a global positioning system (GPS) receiver. This map captures the locations of many of the abandoned features from the coal mining industry near Forest City, Pennsylvania, and preserves a time that was an important part of the industrial revolution and a way of life that has been quiet for over half a century. The data layers should be used in conjunction with lidar data available separately at https://www.pasda.psu.edu.
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TwitterThis GIS layer represents the spatial distribution and key attributes of industrial parks within York County, Pennsylvania. It provides comprehensive geospatial data including location boundaries, land use classifications, infrastructure details, and accessibility features relevant to industrial development. The dataset supports urban planning, economic analysis, environmental assessment, and infrastructure management by enabling visualization, querying, and spatial analysis of industrial park areas. Updated regularly, this layer facilitates informed decision-making for stakeholders involved in industrial zoning, investment planning, and sustainable development initiatives.
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Context
The dataset tabulates the Industry 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 Industry 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 2022, the population of Industry was 1,800, a 0.83% decrease year-by-year from 2021. Previously, in 2021, Industry population was 1,815, a decline of 0.87% compared to a population of 1,831 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Industry decreased by 138. In this period, the peak population was 1,938 in the year 2000. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Industry Population by Year. You can refer the same here
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According to Cognitive Market Research, the global Industrial PA GA System market size was USD 1124.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 4.0% 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 449.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 2.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 337.26 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 258.57 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 56.21 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.4% 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 22.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.7% from 2024 to 2031.
The Traditional Pressure Broadcasting is the fastest growing segment of the Industrial PA GA System industry
Market Dynamics of Industrial PA GA System Market
Key Drivers for Industrial PA GA System Market
Increasingly expansion of sectors like oil & gas, manufacturing, transportation, and energy infrastructure to Boost Market Growth
The expansion of sectors like oil & gas, manufacturing, transportation, and energy infrastructure is driving the Industrial PA GA System Market due to the rising need for robust communication and safety systems. In hazardous and large-scale industrial environments, clear and reliable public address and general alarm (PA GA) systems are essential for ensuring operational safety, preventing accidents, and enabling swift emergency responses. As these industries grow, driven by rising demand for energy, materials, and manufactured goods, the need for enhanced safety and communication systems becomes crucial. Moreover, increasing regulatory pressure for workplace safety and efficiency, coupled with the adoption of advanced technologies, is further fueling the demand for modern PA GA systems to meet industry-specific requirements. For instance, in October 2021 Dragos secured USD 200 million in Series D funding, reaching a post-money valuation of USD 1.7 billion. This funding round is noted as the largest and highest valuation achieved by an operational technology (OT) cybersecurity firm to date.
Rising awareness about disaster and emergency response management to Drive Market Growth
Rising awareness about disaster and emergency response management is driving the Industrial PA GA System Market as industries increasingly prioritize safety and risk mitigation. In sectors like oil & gas, manufacturing, and mining, where hazardous conditions are prevalent, swift communication during emergencies is critical for minimizing damage and protecting lives. Industrial PA GA systems provide real-time alerts and instructions, enabling rapid evacuation or corrective actions in disaster scenarios. As companies adopt more stringent safety protocols to comply with regulations and enhance workplace security, the demand for reliable and efficient communication systems grows. This heightened focus on preparedness and emergency response in industrial environments is pushing organizations to invest in advanced PA GA systems, fueling market growth.
Restraint Factor for the Industrial PA GA System Market
High Installation Costs will Limit Market Growth
High installation costs are restraining the Industrial PA GA System Market because the initial expenses associated with purchasing, installing, and integrating these systems are significant. For industries like oil & gas, manufacturing, and transportation, deploying advanced PA GA systems requires specialized equipment, custom configurations, and expert labor, which raises the overall cost. Smaller companies or those with limited budgets may find it difficult to justify these expenses, especially when paired with the ongoing maintenance and operational costs. Additionally, complex installations often require downtime or disruptions to existing operations, further increasing the economic burden. These high costs can deter organizations from adopting or upgrading to modern PA GA s...
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TwitterThe number of big-box distribution centers amounted to *** in Eastern Pennsylvania and Southern New Jersey, United States in 2023. This was an increase as compared to 2022, when there were *** big-box buildings. Big-box buildings refer to large industrial buildings used for distribution. In 2023, there were over 6,000 big-box buildings in the United States.
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TwitterThe data represents the percent change in wages for an individual who has wages recorded in the Unemployment Compensation (UC) wage record file in the quarter in which they completed Industry Partnership training and wages found in the UC wage record file for that individual four quarters later. The change could be an increase or a decrease in wages. For example, if an individual completed training in the third quarter of 2013 and earned $5,000 in that quarter and earned $7,500 in the third quarter of 2014 the percent change for that individual would be 50%. The file incudes a count of all individuals who benefited from industry partnership training, the workforce development area of the industry partnership, the training program completed and the percentage change in wages per individual training. The top line of the file includes the overall percentage change for all trainings.
*The goal for Labor & Industry is based on receiving $10 million to fund Industry Partnerships.
This dataset is for Program Year 2013-2017 and will be updated annually due to federal release schedule. There are many reasons why an individual’s wage may have changed dramatically. Some of the reasons for negative wage changes or large increases in wages are listed below (not an exhaustive list). • An individual may have left the job, was laid off, or retired within the year after they were trained. • An individual may have become ill and left work. • An individual may have accepted a job in or moved to another state. • An individual may have been working two jobs and switched to one, or vice versa. • An individual’s hours may have been reduced/increased during a quarter. • Overtime hours may have been reduced/increased during a quarter. • An individual may have taken family leave. • A bonus could have been paid right after training was completed. • Wage records may not have been reported. • An employer may have closed and laid off all of their employees.
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TwitterYearly and monthly growth charts for sports betting in Pennsylvania , including handle, revenue, and growth metrics
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Poland Dividend Yield: WSE: Main Market: Industry: Services data was reported at 5.600 % pa in Oct 2018. This records a decrease from the previous number of 5.800 % pa for Sep 2018. Poland Dividend Yield: WSE: Main Market: Industry: Services data is updated monthly, averaging 6.800 % pa from Jan 2017 (Median) to Oct 2018, with 22 observations. The data reached an all-time high of 10.600 % pa in Jun 2018 and a record low of 1.800 % pa in Feb 2017. Poland Dividend Yield: WSE: Main Market: Industry: Services data remains active status in CEIC and is reported by Warsaw Stock Exchange. The data is categorized under Global Database’s Poland – Table PL.Z007: Warsaw Stock Exchange: Dividend Yield.
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TwitterThe following are a selection of annual outcomes of services provided by the Pennsylvania's Department of Labor & Industry's Office of Vocational Rehabilitation. Outcomes include applicants and case outcomes including employment and wages.
Key Footnotes: 1) Employed in Competitive Labor Market means employment at or above the minimum wage in settings where most employees do not have disabilities. 2) Estimated Taxes Paid are based on a standard deduction for the year, annual tax brackets and rates established by the IRS, and flat-rate FICA, state, and local taxes. 3) Estimated Total Government Savings are estimated federal, state, and local taxes paid plus annualized public support dollars at closure. 4) Average per Person Cost for a Competitive Employment Placement is the average individual "life of case" cost for all persons having a competitive employment outcome regardless of total number of years receiving services. 5) Average per Person Cost of Services is the average individual "life of case" cost for all persons having an employment outcome regardless of total number of years receiving services. 6) Source: U.S. Department of Labor, Bureau of Labor Statistics, May 2016 State Occupational Employment and Wage Estimates, Pennsylvania, https://www.bls.gov/oes/current/oes_pa.htm#00-0000.
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Context
The dataset tabulates the population of Industry by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Industry. The dataset can be utilized to understand the population distribution of Industry by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Industry. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Industry.
Key observations
Largest age group (population): Male # 30-34 years (98) | Female # 65-69 years (80). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Industry Population by Gender. You can refer the same here
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Report of Industrial PA and GA Systems is covering the summarized study of several factors encouraging the growth of the market such as market size, market type, major regions and end user applications. By using the report customer can recognize the several drivers that impact and govern the market. The report is describing the several types of Industrial PA and GA Systems Industry. Factors that are playing the major role for growth of specific type of product category and factors that are motivating the status of the market.
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TwitterIn 2023, the finance, insurance, real estate, rental, and leasing industry contributed a real value of 154.7 billion chained 2017 U.S. dollars to the Gross Domestic Product (GDP) of Pennsylvania. The mining, quarrying, and oil and gas extraction industry added 12.98 billion chained 2017 U.S. dollars of value to the state's GDP in that same year.