Gross Domestic Product of the United States (US GDP)

core

Files Size Format Created Updated License Source
3 80kB csv zip 1 week ago public_domain_dedication_and_license Bureau of Economics Analysis (US Government)
Gross Domestic Product (GDP) of the United States (US) both nominal and real on an annual and quarterly basis. Annual data is provided since 1930 and quarterly data since 1947. Both total GDP (levels) and annualized percentage change in GDP are provided. Both levels and changes are available both read more
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Data Files

File Description Size Last changed Download Other formats
year [csv] 2kB year [csv] year [json] (9kB)
quarter [csv] 9kB quarter [csv] quarter [json] (31kB)
datapackage_zip [zip] Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 17kB datapackage_zip [zip]

year  

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
date 1 year The year
level-current 2 number GDP in billions of current dollars
level-chained 3 number GDP in billions of chained 2009 dollars
change-current 4 number GDP percent change based on current dollars
change-chained 5 number GDP percent change based on chained 2009 dollars

quarter  

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
date 1 date (%Y-%m-%d) The quarter (first day of the quarter)
level-current 2 number GDP in billions of current dollars
level-chained 3 number GDP in billions of chained 2009 dollars
change-current 4 number GDP percent change based on current dollars
change-chained 5 number GDP percent change based on chained 2009 dollars

datapackage_zip  

This is a preview version. There might be more data in the original version.

Read me

Gross Domestic Product (GDP) of the United States (US) both nominal and real on an annual and quarterly basis. Annual data is provided since 1930 and quarterly data since 1947. Both total GDP (levels) and annualized percentage change in GDP are provided. Both levels and changes are available both in current dollars (nominal GDP) and in chained 2009 dollars (real GDP). Data is sourced from US Government’s Bureau of Economic Analysis (BEA) and provided in standardized CSV.

Data

The calculation of GDP and, in particular, chained measures of GDP involves some complexities. You can read more about the benefits and issues of BEA’s Chain Indexes in the BEA’s 1997 Survey of Current Business.

Preparation

Requires Python. Install the requirements:

pip install -r scripts/requirements.txt

Then run the script to get the data:

python scripts/process.py

License

Public Domain Dedication and License.

Note we assume source data is public domain as US Federal Government.

Import into your tool

If you are using R here's how to get the data you want quickly loaded:

install.packages("jsonlite")
library("jsonlite")

json_file <- "http://datahub.io/core/gdp-us/datapackage.json"
json_data <- fromJSON(paste(readLines(json_file), collapse=""))

# access csv file by the index starting from 1
path_to_file = json_data$resources[[1]]$path
data <- read.csv(url(path_to_file))
print(data)

In order to work with Data Packages in Pandas you need to install the Frictionless Data data package library and the pandas extension:

pip install datapackage
pip install jsontableschema-pandas

To get the data run following code:

import datapackage

data_url = "http://datahub.io/core/gdp-us/datapackage.json"

# to load Data Package into storage
storage = datapackage.push_datapackage(data_url, 'pandas')

# data frames available (corresponding to data files in original dataset)
storage.buckets

# you can access datasets inside storage, e.g. the first one:
storage[storage.buckets[0]]

For Python, first install the `datapackage` library (all the datasets on DataHub are Data Packages):

pip install datapackage

To get Data Package into your Python environment, run following code:

from datapackage import Package

package = Package('http://datahub.io/core/gdp-us/datapackage.json')

# get list of resources:
resources = package.descriptor['resources']
resourceList = [resources[x]['name'] for x in range(0, len(resources))]
print(resourceList)

data = package.resources[0].read()
print(data)

If you are using JavaScript, please, follow instructions below:

Install data.js module using npm:

  $ npm install data.js

Once the package is installed, use the following code snippet:

const {Dataset} = require('data.js')

const path = 'http://datahub.io/core/gdp-us/datapackage.json'

// We're using self-invoking function here as we want to use async-await syntax:
(async () => {
  const dataset = await Dataset.load(path)

  // Get the first data file in this dataset
  const file = dataset.resources[0]
  // Get a raw stream
  const stream = await file.stream()
  // entire file as a buffer (be careful with large files!)
  const buffer = await file.buffer
})()

Install the datapackage library created specially for Ruby language using gem:

gem install datapackage

Now get the dataset and read the data:

require 'datapackage'

path = 'http://datahub.io/core/gdp-us/datapackage.json'

package = DataPackage::Package.new(path)
# So package variable contains metadata. You can see it:
puts package

# Read data itself:
resource = package.resources[0]
data = resource.read
puts data
Datapackage.json