Graph and download economic data for All Employees: Total Private in New York City, NY (SMU36935610500000001SA) from Jan 1990 to Jan 2025 about New York, NY, private, employment, and USA.

All Employees: Private Service Providing in Florida was 7752.10000 Thous. of Persons in December of 2024, according to the United States Federal Reserve. Historically, All Employees: Private Service Providing in Florida reached a record high of 7752.10000 in December of 2024 and a record low of 3594.00000 in June of 1991. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Private Service Providing in Florida - last updated from the United States Federal Reserve on March of 2025.

As part of its mandate under Title VII of the Civil Rights Act of 1964, as amended, the Equal Employment Opportunity Commission requires periodic reports from public and private employers, and unions and labor organizations which indicate the composition of their work forces by sex and by race/ethnic category. Key among these reports is the EEO-1, which is collected annually from Private employers with 100 or more employees or federal contractors with 50 more employees.

This project aims to predict the selling price of used cars with high accuracy using decision tree regression and random forest regression models. a comprehensive dataset containing various car features like model, year, km_driven, fuel type, and ownership history. By analyzing these features and their relationships with the selling price, I aim to build a robust and generalizable model that can inform buyers, sellers, and other stakeholders in the used car market.

La taille du marché du marché privé de l'assurance automobile des passagers est classée en fonction du type (assurance obligatoire, de l'assurance commerciale) et de la demande (voiture privée ordinaire, voiture privée moyenne et haut de gamme) et les régions géographiques (Amérique du Nord, Europe, Asie-Pacifique, Amérique du Sud et Moyen-Orient et Afrique).

Ce rapport fournit des informations sur les secteurs du marché et les prévisions de la valeur de la valeur du marché, expressées dans un million de personnes, exprimées dans les millions de personnes.

Dataset

This dataset was created by Amisha0528

Released under Apache 2.0

Contents

PPG, private creditors (NFL, current US$) in Argentina was reported at --1346250000 USD in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Argentina - PPG, private creditors (NFL, current US$) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

United States Private Employee: DBP: Union Workers data was reported at 66.000 % in 2017. This records an increase from the previous number of 65.000 % for 2016. United States Private Employee: DBP: Union Workers data is updated yearly, averaging 67.000 % from Mar 1999 (Median) to 2017, with 17 observations. The data reached an all-time high of 72.000 % in 2005 and a record low of 65.000 % in 2016. United States Private Employee: DBP: Union Workers 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.G076: Employee Benefits Survey: Private Industry.

United States Private Employee: Defined Contribution Plans (DCP) data was reported at 47.000 % in 2018. This records an increase from the previous number of 44.000 % for 2017. United States Private Employee: Defined Contribution Plans (DCP) data is updated yearly, averaging 42.000 % from Mar 1999 (Median) to 2018, with 18 observations. The data reached an all-time high of 47.000 % in 2018 and a record low of 36.000 % in 2000. United States Private Employee: Defined Contribution Plans (DCP) data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G077: Employee Benefits Survey: Private Industry.

HK: Private Domestic Premises Price: Hong Kong: Class D data was reported at 249,865.000 HKD/sq m in Oct 2018. This records an increase from the previous number of 239,127.000 HKD/sq m for Sep 2018. HK: Private Domestic Premises Price: Hong Kong: Class D data is updated monthly, averaging 124,173.000 HKD/sq m from Jan 1999 (Median) to Oct 2018, with 238 observations. The data reached an all-time high of 250,619.000 HKD/sq m in Aug 2018 and a record low of 40,724.000 HKD/sq m in Apr 2003. HK: Private Domestic Premises Price: Hong Kong: Class D data remains active status in CEIC and is reported by Rating and Valuation Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.P006: Residential: Private: Price.

Domestic credit to private sector (% of GDP) in Peru was reported at 45.59 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Peru - Domestic credit to private sector (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

Graph and download economic data for All Employees: Total Private in Ohio (SMS39000000500000001) from Jan 1990 to Jan 2025 about OH, private, employment, and USA.

Private Sector Credit in Netherlands decreased to 1090798 EUR Million in the fourth quarter of 2021 from 1094795 EUR Million in the third quarter of 2021. This dataset provides - Netherlands Private Sector Credit- actual values, historical data, forecast, chart, statistics, economic calendar and news.

In-depth Product Description

Our USA Schools Dataset is a unique and comprehensive collection of detailed information about private and public schools across the United States. What sets this dataset apart is the granularity and depth of the information it offers. It not only includes basic attributes such as school names and locations, but also provides essential metrics such as enrollment numbers, student-to-teacher ratios, tuition costs, religious affiliation, and academic statistics such as average ACT scores. Additionally, we include insightful data like reviews and ratings, providing a holistic view of each educational institution's profile.

What makes our data unique? Our dataset is meticulously curated and updated to ensure that every piece of information is current and reliable. Unlike other datasets that might provide limited insights, we focus on capturing the full spectrum of data that decision-makers need. From demographic breakdowns to academic quality indicators, and even specialized fields like dress codes and scholarship acceptance, our dataset is designed to provide a 360-degree perspective of each school. The inclusion of review scores from parents and students adds a unique, qualitative perspective that enables users to gauge public sentiment toward these institutions.

How is the data sourced? We source our data from multiple verified public domains, government educational listings, school websites, and third-party review sites. All of our data points are cross-referenced to ensure accuracy and reliability. We also leverage web scraping technologies to pull the latest available information, ensuring our dataset remains relevant. Every record undergoes a stringent quality assurance process, which involves cross-verifying the information from different reputable sources to maintain the integrity of the data.

What are the primary use-cases or verticals for this Data Product? The versatility of our USA Schools Dataset makes it ideal for a broad range of industries and applications. In the education technology sector, it can be used to build platforms that assist parents in selecting schools for their children. Marketing and advertising companies can use it to create targeted campaigns focused on specific demographics, ensuring they reach the right audience. Consulting and analytics firms can use the dataset for market research, identifying trends in education quality, regional differences, and resource allocation. Additionally, real estate firms use this data to highlight nearby schools as a key selling point for properties, and financial institutions can leverage it to evaluate school zones for funding and investment purposes. Governments and policymakers can also utilize this dataset to analyze gaps in the educational system and to direct resources where they are most needed.

How does this Data Product fit into our broader data offering? This Schools Dataset is part of our extensive portfolio of educational and demographic data solutions. We offer data products that cover not just schools, but also higher education institutions, neighborhood demographics, and student performance analytics. When combined, these datasets provide unparalleled insights into educational environments across the U.S. Our broader data offerings include family income statistics, healthcare availability, and socioeconomic metrics, making it possible for customers to cross-reference multiple data types for deeper insights. Whether you are looking at the relationship between household income and school choice, or examining the correlation between student performance and regional amenities, our comprehensive datasets offer all the building blocks necessary for informed decision-making.

Scale & Quality The dataset contains over 1,000 schools from all across the United States, offering nationwide coverage. All entries are standardized and formatted for ease of use, allowing for seamless integration into analytics tools, CRM systems, and business intelligence platforms. Our data complies with all relevant data privacy standards, ensuring that no sensitive or personal data is compromised. Furthermore, our data is frequently updated to reflect changes such as tuition adjustments, new reviews, and the opening or closing of institutions, providing our users with the most recent and accurate information available.

In summary, our USA Schools Dataset is an invaluable tool for anyone needing a complete, reliable, and actionable set of data about educational institutions across the United States. It is built with versatility in mind, suitable for many use cases across various industries. By leveraging this data product, organizations can gain deep insights into the educational landscape, identify opportunities, and make data-driven decisions that can shape the future of education.

Hong Kong Private Domestic Premises Price: Qtr: New Territories: Class A data was reported at 132,953.000 HKD/sq m in Mar 2018. This records an increase from the previous number of 126,499.000 HKD/sq m for Dec 2017. Hong Kong Private Domestic Premises Price: Qtr: New Territories: Class A data is updated quarterly, averaging 33,793.000 HKD/sq m from Dec 1983 (Median) to Mar 2018, with 138 observations. The data reached an all-time high of 132,953.000 HKD/sq m in Mar 2018 and a record low of 6,206.000 HKD/sq m in Mar 1985. Hong Kong Private Domestic Premises Price: Qtr: New Territories: Class A data remains active status in CEIC and is reported by Rating and Valuation Department. The data is categorized under Global Database’s Hong Kong – Table HK.EB027: Residential: Private: Price.

United States - Federal Debt Held by Private Investors was 24545.90000 Bil. of $ in October of 2024, according to the United States Federal Reserve. Historically, United States - Federal Debt Held by Private Investors reached a record high of 24545.90000 in October of 2024 and a record low of 217.20000 in April of 1970. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Federal Debt Held by Private Investors - last updated from the United States Federal Reserve on March of 2025.

The statistic shows the private label share of the total food sales made by the top 20 private label retailers in 2010. 18% of Aeon's total food sales were of private label food.

Key information about Ukraine Private Consumption: % of GDP

• Ukraine Private Consumption accounted for 60.7 % of its Nominal GDP in Dec 2023, compared with a ratio of 59.2 % in the previous quarter.
• Ukraine Private Consumption contribution to Nominal GDP ratio is updated quarterly, available from Mar 2001 to Dec 2023, with an average share of 64.8 %.
• The data reached an all-time high of 85.8 % in Mar 2020 and a record low of 49.3 % in Sep 2004.

CEIC calculates Private Consumption as % of Nominal GDP from quarterly Private Consumption Expenditure and quarterly Nominal GDP. Private Consumption Expenditure is calculated as the sum of Household and NPISHs consumption. The State Statistics Service of Ukraine provides Private Consumption Expenditure in local currency and Nominal GDP in local currency, based on SNA 2008. Private Consumption as % of Nominal GDP prior to Q1 2010 is based on SNA 1993.


Related information about Ukraine Private Consumption: % of GDP

• In the latest reports, Ukraine GDP expanded 10.5 % YoY in Mar 2023.
• Its Nominal GDP reached 44.4 USD bn in Dec 2022.
• Ukraine GDP Per Capita reached 4,827.9 USD in Dec 2021.
• Its Gross Savings Rate was measured at -3.9 % in Dec 2023.

Key information about Chile Private Consumption: % of GDP

• Chile Private Consumption accounted for 65.2 % of its Nominal GDP in Sep 2022, compared with a ratio of 63.7 % in the previous quarter.
• Chile Private Consumption contribution to Nominal GDP ratio is updated quarterly, available from Mar 1996 to Sep 2022, with an average share of 60.6 %.
• The data reached an all-time high of 65.4 % in Dec 1998 and a record low of 50.6 % in Mar 2007.

CEIC calculates Private Consumption as % of Nominal GDP from quarterly Private Consumption Expenditure and quarterly Nominal GDP. The Central Bank of Chile provides Private Consumption Expenditure in local currency and Nominal GDP in local currency, both based on SNA 2008 with benchmark year 2018.


Related information about Chile Private Consumption: % of GDP

• In the latest reports, Chile GDP contracted 0.1 % YoY in Sep 2022.
• Its Nominal GDP reached 69.1 USD bn in Sep 2022.
• Chile GDP Per Capita reached 16,054.4 USD in Dec 2021.
• Its Gross Savings Rate was measured at 14.8 % in Sep 2022.