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U.S. Department of Commerce, Bureau of Economic Analysis

The Bureau of Economic Analysis (BEA) is a U.S. government agency that provides official macroeconomic and industry statistics including the gross domestic product of the United States.

すべてのデータセット:  F N P Q R S U
  • F
    • 10月 2017
      ソース: U.S. Department of Commerce, Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 27 11月, 2017
      データセットを選択
      First Year Expenditures and Planned Total Expenditures for Investments Initiated in 2016, Country of UBO by Type of Investment
    • 9月 2018
      ソース: U.S. Department of Commerce, Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 26 3月, 2019
      データセットを選択
      The activities of multinational enterprises statistics available here provide a picture of the overall activities of U.S. affiliates of foreign parents and contain a wide variety of indicators of their financial structure and operations. These statistics cover items that are needed in analyzing the characteristics, performance, and economic impact of MNEs, and are obtained from mandatory surveys of U.S. affiliates of foreign parents conducted by BEA.
  • N
    • 7月 2018
      ソース: U.S. Department of Commerce, Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 09 4月, 2019
      データセットを選択
      Expenditures by foreign direct investors to acquire, establish, or expand U.S. businesses totaled $259.6 billion (preliminary) in 2017. Expenditures were down 32 percent from $379.7 billion (revised) in 2016 and were below the annual average of $359.9 billion for 2014-2016. As in previous years, acquisitions of existing businesses accounted for a large majority of total expenditures.
  • P
    • 11月 2018
      ソース: U.S. Department of Commerce, Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 02 5月, 2019
      データセットを選択
      PCE by state is the state counterpart of the Nation's personal consumption expenditures (PCE). PCE by state measures the goods and services purchased by or on behalf of households and the net expenditures of nonprofit institutions serving households (NPISHs) by state of residence for the 50 states and the District of Columbia. PCE by state reflects spending on activities that are attributable to the residents of a state, even when those activities take place outside of the state. Per capita PCE by state measures average PCE spending per person in a state and it is calculated as PCE in a state divided by the population of the state.
  • Q
    • 6月 2019
      ソース: U.S. Department of Commerce, Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 28 6月, 2019
      データセットを選択
      State personal income increased 4.5 percent in 2018, after increasing 4.4 percent in 2017. In 2018, personal income increased in all states and the District of Columbia. The percent change in personal income across all states ranged from 6.8 percent in Washington to 2.9 percent in Hawaii.
  • R
    • 7月 2019
      ソース: U.S. Department of Commerce, Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 29 7月, 2019
      データセットを選択
      Main indicators from US Regional Economic Accounts
    • 11月 2018
      ソース: U.S. Department of Commerce, Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 08 1月, 2019
      データセットを選択
    • 5月 2019
      ソース: U.S. Department of Commerce, Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 27 5月, 2019
      データセットを選択
      RPPs are price indexes that measure geographic price level differences for one period in time within the United States. For example, if the RPP for Washington DC is 120, prices in DC are on average 20% higher than the U.S. average. An RPP is a weighted average of the price level of goods and services for the average consumer in one geographic region compared to all other regions in the U.S. BEA’s estimates of real personal income consist of the current dollar estimates adjusted by the RPPs and converted to constant dollars using the U.S. PCE price index.   The "Index" unit of measure relates the value of a variable (or group of variables) to a base level. The base level is set so that the index produces results that are easy to understand and compare. The base level will always be the first period you selected.  The formula for calculating an index is as follows: x1=(dv1/dv1)*100 = 100 x2=(dv2/dv1)*100 x3=(dv3/dv1)*100 x1 = index of first year selected, x2 = index of second year dv1 = datavalue for first year selected, dv2 = datavalue for second year
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