Connecticut

  • Year Settled:1634
  • First Person Name:Ned Lamont
  • First Person Title:Governor
  • Period:2019-2023
  • Capital:Hartford (2019)
  • Largest City:Bridgeport (2019)
  • Land Area in Square Miles:4842,36 (2021)
  • Total Population in Thousands:3605,597 (2021)
  • Population per Square Mile:744,6 (2021)
  • Fertility Rate in Births per 1000 Women:51,8 (2018)
  • Median Age:41,1 (2019)
  • GDP, Millions of Current $:287.822,2 (2019)
  • GDP per capita, Current Prices:69.789,00 (2019)
  • Real GDP at Chained 2009 Prices:224.739 (2017)
  • New Private Housing Units Authorized by Building Permits:369 (2017)
  • Per capita Personal Income:44.496 (2019)
  • Total Employment, Thousands of Jobs:2.327,35 (2018)
  • Unemployment Rate (SA),%:5,3 (2019)
  • People of All Ages in Poverty, %:9,9 (2019)
  • Official Web-Site of the State

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Todos os conjuntos de dados: B C E F H I J L M R S T U Z
  • B
    • abril 2024
      Fonte: U.S. Centers for Disease Control and Prevention
      Carregamento por: Knoema
      Acesso em 23 abril, 2024
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      TOTAL FERTILITY RATE is the sum of the age-specific birth rates (5-year age groups between 10 and 49) for female residents of a specified geographic area (nation, state, county, etc.) during a specified time period (usually a calendar year) multiplied by 5. (NOTE: This rate estimates the number of children a hypothetical cohort of 1,000 females in the specified population would bear if they all went through their childbearing years experiencing the same age-specific birth rates for a specified time period.) Note : 2022 data is provisional
    • abril 2024
      Fonte: U.S. Census Bureau
      Carregamento por: Knoema
      Acesso em 28 abril, 2024
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      New Privately-Owned Housing Units Authorized Unadjusted Units by State, Regions and Metropolitan Area
  • C
    • maio 2024
      Fonte: Government of Canada
      Carregamento por: Knoema
      Acesso em 11 maio, 2024
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      This dataset is updated with data obtained from Statistics Canada and the U.S. Census Bureau. Trade Data is updated on a monthly and annual basis, with revisions in March, April, May, August and November to previous year's data. Trade Data is available on both product and industry-based versions. The product Trade Data is classified by Harmonized System (HS) codes while the industry data is based on North American Industry Classification System(NAICS) classification codes. Source: Statistics Canada and the U.S.Census Bureau
    • maio 2024
      Fonte: U.S. Energy Information Administration
      Carregamento por: Knoema
      Acesso em 21 maio, 2024
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      Estimates of Annual Fossil-Fuel CO2 Emitted for Each State in the U.S.A. and the District of Columbia for Each Year from 1960 through 2001. Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to calculate the amount of heat energy derived from fuel combustion. Results are expressed in terms of heat energy obtained from each fuel type. These energy consumption data were multiplied by their respective carbon dioxide emission factors, which are called carbon content coefficients by the U.S. Environmental Protection Agency (EPA). These factors quantify the mass of oxidized carbon per unit of energy released from a fuel. In the U.S.A., they are typically expressed in units of teragrams of carbon (Tg-C = 10^12 grams of carbon) per quadrillion British thermal units (quadrillion Btu = 10^15 Btu, or "quad"), and are highest for coal and lowest for natural gas. Our results are given in teragrams of carbon emitted. To convert to carbon dioxide, multiply by 44/12 (= 3.67).
    • dezembro 2022
      Fonte: World Bank
      Carregamento por: Collins Omwaga
      Acesso em 16 dezembro, 2022
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      Climate Change Knowledge Portal: CMIP6 Mean Projections
    • abril 2024
      Fonte: Federal Reserve Bank of Philadelphia
      Carregamento por: Knoema
      Acesso em 21 maio, 2024
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      The Federal Reserve Bank of Philadelphia produces a monthly coincident index for each of the 50 states. The indexes are released a few days after the Bureau of Labor Statistics (BLS) releases the employment data for the states. The Bank issues a release each month describing recent trends in the state indexes, with special coverage of the three states in the Third District: Pennsylvania, New Jersey, and Delaware. The coincident indexes combine four state-level indicators to summarize current economic conditions in a single statistic. The four state-level variables in each coincident index are nonfarm payroll employment, average hours worked in manufacturing by production workers, the unemployment rate, and wage and salary disbursements plus proprietors' income deflated by the consumer price index (U.S. city average). The trend for each state’s index is set to the trend of its gross domestic product (GDP), so long-term growth in the state’s index matches long-term growth in its GDP. A dynamic single-factor model is used to create the state indexes. James Stock and Mark Watson developed the basic model for constructing a coincident index for the U.S. Theodore Crone and Alan Clayton-Matthews adapted the basic model for the states. The method involves a system of five major equations: one equation for each input variable and one equation for an underlying (latent) factor that is reflected in each of the indicator (input) variables. The underlying factor represents the state coincident index. The model and the input variables are consistent across the 50 states, so the state indexes are comparable to one another.
    • abril 2023
      Fonte: National Oceanic and Atmospheric Administration
      Carregamento por: Knoema
      Acesso em 25 abril, 2023
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      States Affected and Category by States Affected: The impact of the hurricane on individual U.S. states based upon the Saffir-Simpson Hurricane Wind Scale (through the estimate of the maximum sustained [1-min] surface [10 m] winds at each state). TX S-South Texas, TX C-Central Texas, TX N-North Texas, LA-Louisiana, MS-Mississippi, AL-Alabama, FL NW-Northwest Florida, FL SW-Southwest Florida, FL SE-Southeast Florida, FL NE-Northeast Florida, GA-Georgia, SC-South Carolina, NC-North Carolina, VA-Virginia, MD-Maryland, DE-Delaware, NJ-New Jersey, NY-New York, PA-Pennsylvania, CT-Connecticut, RI-Rhode Island, MA-Massachusetts, NH-New Hampshire, ME-Maine. In Texas, south refers to the area from the Mexican border to Corpus Christi; central spans from north of Corpus Christi to Matagorda Bay and north refers to the region from north of Matagorda Bay to the Louisiana border. In Florida, the north-south dividing line is from Cape Canaveral [28.45N] to Tarpon Springs [28.17N]. The dividing line between west-east Florida goes from 82.69W at the north Florida border with Georgia, to Lake Okeechobee and due south along longitude 80.85W.) Occasionally, a hurricane will cause a hurricane impact (estimated maximum sustained surface winds) in an inland state. To differentiate these cases versus coastal hurricane impacts, these inland hurricane strikes are denoted with an "I" prefix before the state abbreviation. States that have been so impacted at least once during this time period include Alabama (IAL), Georgia (IGA), North Carolina (INC), Virginia (IVA), and Pennsylvania (IPA). The Florida peninsula, by the nature of its relatively landmass, is all considered as coastal in this database. Highest U.S. Saffir-Simpson Category: The highest Saffir-Simpson Hurricane Wind Scale impact in the United States based upon estimated maximum sustained (1-min) surface (10 m) winds produced at the coast. ("TS" indicates that the system caused only tropical storm conditions in the United States, though it was a hurricane at landfall. See "&" below.) Central Pressure: The observed or estimated central pressure of the hurricane at landfall. Maximum Winds: Estimated maximum sustained (1-min) surface (10 m) winds to occur along the U. S. coast. Winds are estimated to the nearest 10 kt for the period of 1851 to 1885 and to the nearest 5 kt for the period of 1886 to date. (1 kt = 1.15 mph.) * - Indicates that the hurricane center did not make a U.S. landfall (or substantially weakened before making landfall), but did produce the indicated hurricane-force winds over land. In this case, central pressure is given for the time that the hurricane winds along the coast were the strongest. & - Indicates that the hurricane center did make a direct landfall, but that the strongest winds likely remained offshore. Thus the winds indicated here are lower than in HURDAT. # - Indicates that the hurricane made landfall over Mexico, but also caused sustained hurricane force surface winds in Texas. The strongest winds at landfall impacted Mexico, while the weaker maximum sustained winds indicated here were conditions estimated to occur in Texas. Indicated central pressure given is that at Mexican landfall. Additional Note: Because of the sparseness of towns and cities before 1900 in some coastal locations along the United States, the above list is not complete for all states. Before the Gulf of Mexico and Atlantic coasts became settled, hurricanes may have been underestimated in their intensity or missed completely for small-sized systems (i.e., 2004's Hurricane Charley). The following list provides estimated dates when accurate tropical cyclone records began for specified regions of the United States based upon U.S Census reports and other historical analyses. Years in parenthesis indicate possible starting dates for reliable records before the 1850s that may be available with additional research: Texas-south > 1880, Texas-central > 1851, Texas-north > 1860, Louisiana > 1880, Mississippi > 1851, Alabama < 1851 (1830), Florida-northwest > 1880, Florida-southwest > 1900, Florida-southeast > 1900, Florida-northeast > 1880, Georgia < 1851 (1800), South Carolina < 1851 (1760), North Carolina < 1851 (1760), Virginia < 1851 (1700), Maryland < 1851 (1760), Delaware < 1851 (1700), New Jersey < 1851 (1760), New York < 1851 (1700), Connecticut < 1851 (1660), Rhode Island < 1851 (1760), Massachusetts < 1851 (1660), New Hampshire < 1851 (1660), and Maine < 1851 (1790).
  • E
  • F
    • maio 2024
      Fonte: U.S. Federal Bureau of Investigation
      Carregamento por: Knoema
      Acesso em 02 maio, 2024
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      Month-by-month data for the number of firearms background checks initiated through the NICS from November 1998 to previous month.  The National Instant Criminal Background Check System, or NICS, is all about saving lives and protecting people from harm—by not letting guns fall into the wrong hands. It also ensures the timely transfer of firearms to eligible gun buyers.
  • H
  • I
    • maio 2024
      Fonte: U.S. Census Bureau
      Carregamento por: Knoema
      Acesso em 03 maio, 2024
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      The international goods and services deficit was $74.6 billion in April, up $14.0 billion from $60.6 billion in March. April exports were $249.0 billion, $9.2 billion less than March exports. April imports were $323.6 billion, $4.8 billion more than March imports. 
  • J
  • L
  • M
  • R
    • abril 2024
      Fonte: Federal Reserve Bank of Dallas
      Carregamento por: Knoema
      Acesso em 30 abril, 2024
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      In the fourth quarter 2010 issue of Southwest Economy, Dallas Fed researchers introduced new measures of real trade-weighted exchange rates for each of the 50 U.S. states. These indexes calculate the inflation-adjusted value of the U.S. dollar against the currencies of countries with which the state trades. The real exchange rates are aggregated across countries for each state using the average export share to the country over the period from 1997 to 2009. The indexes should allow analysts to more precisely identify the exchange rate movements that most affect demand for a state’s exports.
    • julho 2023
      Fonte: Refugee Processing Center
      Carregamento por: Knoema
      Acesso em 01 agosto, 2023
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      Data cited at: Refugee Processing Center   FY - Fiscal Years have been used (since October until September). Data for 2017 include the last available values.  The Refugee Processing Center (RPC) is operated by the U.S Department of State (DOS) Bureau of Population, Refugees, and Migration (PRM) in the Rosslyn section of Arlington, Virginia USA.  At the RPC and at Resettlement Support Centers (RSCs), an interactive computer system called the Worldwide Refugee Admissions Processing System (WRAPS) is used to process and track the movement of refugees from various countries around the world to the U.S. for resettlement under the U.S. Refugee Admissions Program (USRAP). Fiscal years 2008 through 2019 as of june 30,2019. . Fiscal Years 2008 through 2019 as of june 30,2019. >> Annual data is Fiscal year data and October is the year starting 
    • agosto 2023
      Fonte: Apartment List
      Carregamento por: Biswajit Brahmma
      Acesso em 14 agosto, 2023
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      Apartment List Rent Estimates and Apartment List Vacancy Index
  • S
  • T
    • maio 2024
      Fonte: Texas Health and Human Services
      Carregamento por: Knoema
      Acesso em 02 maio, 2024
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    • maio 2024
      Fonte: U.S. Department of Transportation
      Carregamento por: Knoema
      Acesso em 15 maio, 2024
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      Travel on all roads and streets changed by +0.1% (+0.2 billion vehicle miles) for April 2023 as compared with April 2022. Travel for the month is estimated to be 256.1 billion vehicle miles. The seasonally adjusted vehicle miles traveled for April 2023 is 267.0 billion miles, a +1.2% (+3.2 billion vehicle miles) change over April 2022. It also represents a +0.1% change (+0.2 billion vehicle miles) compared with March 2023.
  • U
  • Z
    • maio 2024
      Fonte: Zillow
      Carregamento por: Knoema
      Acesso em 16 maio, 2024
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        Zillow Home Value Index (ZHVI) for Metro & U.S and Statewise data. A smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. Zillow publishes top-tier ZHVI ($, typical value for homes within the 65th to 95th percentile range for a given region) and bottom-tier ZHVI ($, typical value for homes that fall within the 5th to 35th percentile range for a given region). Zillow also publishes ZHVI for all single-family residences ($, typical value for all single-family homes in a given region), for condo/coops ($), for all homes with 1, 2, 3, 4 and 5+ bedrooms ($), and the ZHVI per square foot ($, typical value of all homes per square foot calculated by taking the estimated home value for each home in a given region and dividing it by the home’s square footage).
    • maio 2024
      Fonte: Zillow
      Carregamento por: Knoema
      Acesso em 18 maio, 2024
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      Zillow Observed Rent Index (ZORI): A smoothed measure of the typical observed market rate rent across a given region. ZORI is a repeat-rent index that is weighted to the rental housing stock to ensure representativeness across the entire market, not just those homes currently listed for-rent. The index is dollar-denominated by computing the mean of listed rents that fall into the 40th to 60th percentile range for all homes and apartments in a given region, which is once again weighted to reflect the rental housing stock.