The annual change in GDP of New Orleans Metro Area (LA) was -0.17% in 2013.

GDP

Real (inflation adjusted) GDP per Capita over time.

Change in GDP

Annual change in real GDP.

Gross Domestic Product (GDP) is a measure of the value of all goods and services produced in a region minus the value of the goods and services used up in production. Real GDP is adjusted for changes in the value of money (inflation and deflation) so that values can be compared between years. Data is available for U.S. states and metropolitan areas.

Above charts are based on data from the U.S. Bureau of Economic Analysis | Data Source | ODN Dataset | API - Notes:

1. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.

2. To build your own apps using this data, see the ODN Dataset and API links.

3. If you use this derived data in an app, we ask that you provide a link somewhere in your applications to the Open Data Network with a citation that states: "Data for this application was provided by the Open Data Network" where "Open Data Network" links to http://opendatanetwork.com. Where an application has a region specific module, we ask that you add an additional line that states: "Data about REGIONX was provided by the Open Data Network." where REGIONX is an HREF with a name for a geographical region like "Seattle, WA" and the link points to this page URL, e.g. http://opendatanetwork.com/region/1600000US5363000/Seattle_WA

Economy and Gross Domestic Product Datasets Involving New Orleans Metro Area (LA)

  • API

    Development Connections: Unveiling the Impact of New Information Technologies - DIA 2011

    mydata.iadb.org | Last Updated 2017-10-02T16:51:39.000Z

    This dataset was created to support 2011 DIA "Development Connections: Unveiling the Impact of New Information Technologies" on the following topics: ICT for development, ICT for productive development

  • API

    Permits - BLDS

    data.nola.gov | Last Updated 2017-12-15T07:03:53.000Z

    City of New Orleans permit data starting from 1/01/2012. This dataset has been transformed to meet the standards outlined by the Building and Land Development Specification (BLDS).

  • API

    Structural Fiscal Balances Database for Latin America and the Caribbean

    mydata.iadb.org | Last Updated 2017-10-02T20:56:16.000Z

    The database allows estimating structural fiscal balances for 20 countries in the region under different assumptions regarding the output gap and commodity structural prices. It is a unique database of its kind since: 1) It takes into consideration the distinct responsiveness of different types of revenues to changes in the output gap: In order to adjust for the impact of the business cycle on revenues, we calculate individual elasticities for each source of revenue (i.e. direct taxes, indirect taxes, revenues from non-renewable resources, etc.). Since the different types of revenues in the region have different sensitivities to changes in the output gap, this disaggregated approach allows for a more fine-tuned adjustment. 2) It includes estimations of SFBs based on output gaps’ projections available in “real time”. In addition to giving estimations of the actual SFBs, we provide with estimations of the SFBs that would have resulted should the projections on output gaps available to policymakers at the time of designing fiscal policy (data in “real time”) have been correct. This is in contrast to much of the existing work on structural fiscal balances that makes only an “ex post” analysis using actual and revised information on the output gaps. 3) It allows assessing the response of fiscal policy to the business cycle. We provide with measures of the fiscal impulse, assessing not only the actual but also the intentional fiscal stance, as well as the degree of procyclicality of fiscal policy.<br><br><b>Click here to access the data: https://mydata.iadb.org/idb/dataset/3itg-avtz</b></br></br>

  • API

    Air Passenger Traffic per Month, Port Authority of NY NJ: Beginning 1977

    data.ny.gov | Last Updated 2016-06-30T19:36:57.000Z

    The dataset presented in this forum is monthly data. The Port Authority collects monthly data for domestic and international, cargo, flights, passengers and aircraft equipment type from each carrier at PANYNJ-operated airports. The data is aggregated and forms the basis for estimating flight fees, parking, concession, and PFC revenues at the Port Authority Airports.

  • API

    Median Household Income All States 2000-2012

    opendata.utah.gov | Last Updated 2014-10-31T18:29:13.000Z

    Median Household Income All States 2000-2012

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    Number Of People In Poverty All States 2000-2012

    opendata.utah.gov | Last Updated 2014-10-31T18:32:57.000Z

    Number Of People In Poverty All States 2000-2012

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    Commercial and Non Commercial Flights per Month, Port Authority of NY NJ: Beginning 1977

    data.ny.gov | Last Updated 2016-06-30T19:26:37.000Z

    The dataset presented in this forum is monthly data. The Port Authority collects monthly data for domestic and international cargo, flights, passengers and aircraft equipment type from each carrier at PANYNJ-operated airports. The data is aggregated and forms the basis for estimating flight fees, parking, concession, and PFC revenues at the Port Authority Airports.

  • API

    Cargo Tonnage by Airport, Port Authority of NY NJ: Beginning 1977

    data.ny.gov | Last Updated 2016-06-30T19:33:06.000Z

    The dataset presented in this forum is monthly data. The Port Authority collects monthly data for domestic and international cargo, flight, passengers and aircraft equipment type from each carrier at PANYNJ-operated airports. The data is aggregated and forms the basis for estimating flight fees, parking, concession, and PFC revenues at the Port Authority Airports.

  • API

    Laborforce Commuting Mode Split by Demographic Trends

    data.cambridgema.gov | Last Updated 2017-12-13T15:29:14.000Z

    This dataset outlines the ways in which the Laborforce commutes to work in Cambridge, organized by characteristics of the population. Specifically, by age, vehicles available, time arriving, time spent traveling, and annual household income. The data for this dataset originates from three sources: Journey to Work data supplied to the Massachusetts Central Transportation Planning Staff by the Census Bureau, a special tabulation of 2000 Decennial Census data the 2000 Census Transportation Planning Products (CTPP), and the most recent version of the CTPP. For more information on Journey to Work data in Cambridge, please see the full 2015 report (https://www.cambridgema.gov/~/media/Files/CDD/FactsandMaps/profiles/moving_forward_20150930.ashx?la=en).

  • API

    Laborforce Commuting Mode Split since 1990

    data.cambridgema.gov | Last Updated 2017-12-13T15:30:45.000Z

    This dataset compares 1990, 2000, and 2010 Journey to Work Census Data, outlining the modes of commuting for the Total Laborforce in the City of Cambridge, regardless of workplace destination. The data for this dataset originates from three sources: Journey to Work data supplied to the Massachusetts Central Transportation Planning Staff by the Census Bureau, a special tabulation of 2000 Decennial Census data the 2000 Census Transportation Planning Products (CTPP), and the most recent version of the CTPP. For more information on Journey to Work data in Cambridge, please see the full 2015 report (https://www.cambridgema.gov/~/media/Files/CDD/FactsandMaps/profiles/moving_forward_20150930.ashx?la=en).