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    BEA
    release : pers income
    release : pce
    release : gdp
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National Income and Product Accounts
1. Domestic Product & Income 57 tables  
      gdp real (chained) . gdp deflator
2. Personal Income & Outlays 28 tables  
      personal income | pce saar. pce chained. pce deflator
3. Govt Current Receipts & Exp.
4. Foreign Transactions
5. Saving & Inv
6. Income & Employment by Industry
7. Supplemental Tables
8. Seasonally Unadjusted Estimates
0u. Real inventories & sales
2u. Personal cons. exp.
3u. Govt current receipts & exp.
5u. Gross prv dom. inv & capital trnsfrs
7u. Motor vehicle output

    >>   		Section 2. Personal Income and Outlays ..   28 tables. Click here to list all tables.
1M Q Y 1929-10.bil$ saar Table 2.1. - Personal Income and Its Disposition
2M Q Y 1929-00.bil$ saar Table 2.2A. - Wage and Salary Disbursements by Industry
...
*7M Q Y 1929-10.indx 2005=100 sea Table 2.3.4. - PCE deflator qtrly   Price Indexes for Personal Consumption Expenditures by Major Type of Product
18M Q Y 1995-08.bil chnd 2005 $ Table 2.5.6 - Real Personal Consumption Expenditures by Function Chained Dollars
*19M Q Y 1959-10.bil$ saar Table 2.6. - Personal Income   Personal Income and Its Disposition Monthly
20M Q Y 1959-00.bil$ saar Table 2.7A. - Wage and Salary Disbursements by Industry Monthly
21M Q Y 2001-10.bil$ saar Table 2.7B. - Wage and Salary Disbursements by Industry Monthly
22M Q Y 1959-10.pct change at mon Table 2.8.1. - Percent Change From Preceding Period in Real Personal Consumption Expenditures by Major Type of Product Monthly
23M Q Y 1959-10.indx 2005=100 sea Table 2.8.3. - Real Personal Consumption Expenditures by Major Type of Product Monthly Quantity Indexes
*24M Q Y 1959-10.indx 2005=100 sea Table 2.8.4. - PCE deflator monthly (w core defltr at end)   Price Indexes for Personal Consumption Expenditures by Major Type of Product Monthly
*25M Q Y 1959-10.bil$ saar Table 2.8.5. - PCE saar (seasonally adjusted annual rate)   Personal Consumption Expenditures by Major Type of Product Monthly
*26M Q Y 1995-10.bil chnd 2005 $ s Table 2.8.6. - PCE Chained   Real Personal Consumption Expenditures by Major Type of Product Monthly Chained Dollars
27M Q Y 1959-10.seas adj at month Table 2.8.7. - Percent Change from Preceding Period in Prices for Personal Consumption Expenditures by Major Type of Product Monthly
28M Q Y 1992-08.bil$ Table 2.9. - Personal Income and Its Disposition by Households and by Nonprofit Institutions Serving Households
  Table 2.8.6.   Real Personal Consumption Expenditures by Major Type of Product Monthly Chained Dollars
  This table contains the BEA's official   PCE Chained data    
--> See BLS release: pers inc & pce
  Source: National Income and Product Accounts (NIPA) from the U.S. Bureau of Economic Analysis, and Econstats.
Published by BEA June 25, 2010.
MONTHLY units: Billions of chained (2005) dollars; SAAR s
  Real Personal Consumption Expenditures by Major Type of Product Monthly Chained Dollars   MONTHLY Data Jan1995 to May2010
Billions of chained (2005) dollars
SAAR s
Code Variables 2010 2009
May Apr Mar Feb Jan Dec Nov Oct Sep Aug Jul Jun May Apr
1 DPCERX1 ....  Personal consumption expenditures 9425.0 9399.6 9400.1 9359.4 9317.3 9312.4 9293.4 9262.5 9236.5 9304.4 9216.8 9201.3 9185.1 9180.8
2 DGDSRX1   Goods 3273.3 3265.5 3269.9 3227.9 3195.7 3188.4 3199.0 3158.1 3135.2 3213.3 3130.4 3114.9 3106.1 3095.0
3 DDURRX1 ..  Durable goods 1194.2 1181.6 1188.0 1146.9 1132.9 1137.1 1130.2 1103.9 1081.2 1180.6 1106.4 1083.5 1072.5 1059.2
4 DNDGRX1 ..  Nondurable goods 2080.8 2084.0 2082.8 2077.3 2058.7 2048.3 2064.1 2047.8 2045.3 2035.0 2019.6 2024.5 2025.8 2026.9
5 DSERRX1   Services 6153.2 6135.6 6132.0 6131.4 6120.3 6122.2 6093.8 6101.7 6097.7 6091.3 6082.8 6081.9 6074.3 6080.3

    Note. Chained (2005) dollar series are calculated as the product of the chain-type quantity index and the
    2005 current-dollar value of the corresponding series divided by 100. Because the formula for the chain-type
    quantity indexes uses weights of more than one period the corresponding chained-dollar estimates are
    usually not additive.


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