BEA Account Code: B682RA For more information about this series, please see http://www.bea.gov/national/.

BEA Account Code: B269RA For more information about this series, please see http://www.bea.gov/national/.

BEA Account Code: N3011C For more information about this series, please see http://www.bea.gov/national/.

OECD Descriptor ID: WSCNDW01 OECD unit ID: NBR OECD country ID: CAN All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

OECD Descriptor ID: WSCNDW01 OECD unit ID: NBR OECD country ID: NOR All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

OECD Descriptor ID: ODCNPI03 OECD unit ID: IDX OECD country ID: ZAF All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

OECD Descriptor ID: ODCNPI03 OECD unit ID: ZAR OECD country ID: ZAF All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

OECD Descriptor ID: ODCNPI03 OECD unit ID: ZAR OECD country ID: ZAF All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

OECD Descriptor ID: WSCNDW01 OECD unit ID: NBR OECD country ID: DNK All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

OECD Descriptor ID: WSCNDW01 OECD unit ID: PC OECD country ID: SWE All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

OECD Descriptor ID: PRINTO01 OECD unit ID: CAD OECD country ID: CAN All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

OECD Descriptor ID: PRCNTO01 OECD unit ID: CAD OECD country ID: CAN All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

OECD Descriptor ID: PRINTO01 OECD unit ID: AUD OECD country ID: AUS All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

OECD Descriptor ID: PRCNTO01 OECD unit ID: ZAR OECD country ID: ZAF All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

BEA Account Code: H4312C For more information about this series, please see http://www.bea.gov/national/.

BEA Account Code: H4012C For more information about this series, please see http://www.bea.gov/national/.

BEA Account Code: B4312C For more information about this series, please see http://www.bea.gov/national/.

BEA Account Code: B3111C For more information about this series, please see http://www.bea.gov/national/.

BEA Account Code: B3411C For more information about this series, please see http://www.bea.gov/national/.

Middlesex-Monmouth-Ocean, NJ constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics.

The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm. Please note that this annual series created by the Federal Reserve bank of Dallas was calculated based on a seasonally adjusted monthly series.

Occupation refers to the occupation in which the reference person received the most earnings during the survey period. The reference person is the first member mentioned by the respondent when asked to "Start with the name of the person or one of the persons who owns or rents the home." It is with respect to this person that the relationship of the other consumer unit members is determined. For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

Copyright, 2016, OECD. Reprinted with permission. All OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)

OECD Descriptor ID: PRINTO01 OECD unit ID: CAD OECD country ID: CAN All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

OECD Descriptor ID: PRCNTO01 OECD unit ID: AUD OECD country ID: AUS All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

Bergen-Hudson-Passaic, NJ constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics.

Occupation refers to the occupation in which the reference person received the most earnings during the survey period. The reference person is the first member mentioned by the respondent when asked to "Start with the name of the person or one of the persons who owns or rents the home." It is with respect to this person that the relationship of the other consumer unit members is determined. For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

Net Nonfarm Residential Construction Is Obtained By Subtracting Capital Consumption, Including Depreciation And Demolition, From Gross Construction. The Depreciation And Demolition Figures For 1889- 1953, Published In Grebler, Blank, And Winnick,"Capital Formation And Real Estate," Table E-2, Pp. 384-385, And Explained In Appendix E Of That Book, Were Extended To 1955 By Kuznets Following The Same Methods. For Further Information See The Source Works Cited Above, Introductory Notes On Kuznets Data, And Lipsey And Preston, P. 254. Source: Simon Kuznets, "Capital In The American Economy: Its Formation And Financing, " (Princeton University Press For NBER, 1961) This NBER data series a02209 appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02209

Net Nonfarm Residential Construction Is Obtained By Subtracting Capital Consumption, Including Depreciation And Demolition, From Gross Construction. The Depreciation And Demolition Figures For 1889- 1953, Published In Grebler, Blank, And Winnick,"Capital Formation And Real Estate," Table E-2, Pp. 384-385, And Explained In Appendix E Of That Book, Were Extended To 1955 By Kuznets Following The Same Methods. For Further Information See The Source Works Cited Above, Introductory Notes On Kuznets Data, And Lipsey And Preston, P. 254. Source: Simon Kuznets, "Capital In The American Economy: Its Formation And Financing, " (Princeton University Press For NBER, 1961) This NBER data series a02210 appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02210

Series Was Derived By Subtracting Depreciation And Depletion From The Gross Kuznets Series "Gross Private Construction, Excluding Nonfarm Residential" (Current Dollars And Constant Dollars). The Constant (1929) Dollar Figures Were Calculated As Follows: 1889-1918: Annual Depreciation And Depletion Figures Were Derived By Interpolation And Extrapolation From Decade Estimates Calculated From Wealth Data In Kuznets, "National Product Since 1869." For Details See Notes To Kuznets,"Capital In The American Economy," Table R-17, P. 531. 1919-1955: (1) The Dept. Of Commerce Series For Depreciation On An Original-Cost Basis, Published In "National Income, 1954 Edition, Table 4, And Survey Of Current Business," (Dept. Of Comm.), July 1956, Table 4, Were Extended Back To 1919 By Fabricant'S Series (Solomon Fabricant,"Capital Consumption And Adjustment," New York, NBER, 1938) And Deflated By Fabricant'S Price Index, Extended To 1955 By Kuznets. For Further Description See Kuznets,"Capital In The American Economy," Table R-8, P. 501. (2) Depletion Was Estimated As 8 Per Cent Of Depreciation (See Ibid). Current Dollar Figures Were Calculated As Follows: The Depreciation Series In 1929 Prices Was Multiplied By The Appropriate Price Index Described In Kuznets,"Capital In The American Economy," Table R-31, Col. 4. Source: Simon Kuznets, "Capital In The American Economy: Its Formation & Financing, " (Princeton University Press For NBER, 1961) Table R-32, Pp. 592-95 This NBER data series a02211 appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02211

Source: Simon Kuznets, "Capital In The American Economy: Its Formation And Financing, " (Princeton University Press For NBER, 1961) This NBER data series a02212 appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02212

This Series Was Derived By Subtracting Depreciation From "Gross Public Construction, Excluding Military," Current Dollars, Series 02151. The Depreciation Figures Were Derived As The Sum Of Separate Estimates For Sewer And Highway Construction, On The One Hand, And All Other Government Nonmilitary Construction On The Other. The Life For Sewers And Highways Was Assumed To Be Twenty-Five Years, And All Other Government Construction, Fifty Years. Depreciation In Current Prices Was Derived By Multiplying The Depreciation Series In 1929 Prices By The Price Index Calculated For The Given Type Of Construction, Described In The Notes To Kuznets, Table R-30. For Further Information See The Introductory Documentation, The Source Work Cited Above, And Lipsey & Preston, P. 254. Source: Simon Kuznets, "Capital In The American Economy: Its Formation And Financing, " (Princeton University Press For NBER, 1961) This NBER data series a02213 appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02213

Series, The Constant Dollar Equivalent Of NBER 02156, Has Been Decomposed Into 4 Variables: (1) Original Data, 1915-46; (2) Seasonally Adjusted Data, 1939-46; (3) Seasonally Adjusted Data, 1946-63; And (4) Original Data, Annual Only, 1946-63. This Series Includes All New Construction. It Is The Sum Of Private Construction (NBER 02169) And Public Construction (NBER 02194). For Further Information And References, See The Introductory Notes On Bls-Dept. Of Commerce Data. Source: Bls- Department Of Commerce, Publications Of Business & Defense Services Administration & Bureau Of Labor Statistics (See Note) This NBER data series a02167a appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02167a

Orange-Rockland-Westchester, NY constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics.

OECD Descriptor ID: WSCNDW01 OECD unit ID: PC OECD country ID: GBR All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

Source: Simon Kuznets, "Capital In The American Economy: Its Formation And Financing, " (Princeton University Press For NBER, 1961) This NBER data series a02214 appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02214

Net Military Construction Is Derived By Subtracting Depreciation From Gross Military Construction. Kuznets' Gross Military Construction Series Is Taken From Bls-Dept. Of Commerce Figures. However, The Kuznets Series Adds An Extention Back To 1914 And Does Not Include The Latest Revisions In The Government Series. Kuznets Derived His 1914 Figure By Averaging The 1914 And 1915 Government Fiscal-Year Figures For Military And Naval Construction (Published In "Historical Statistics Of The U.S. 1789-1945,") To Obtain A Calendar-Year Figure. The Bls-Dept. Of Commerce Figures Kuznets Used Were Those Published In "Constructon Volume And Costs 1915-56," Table 3, P. 7. Depreciation Was Calculated Assuming A Twenty-Year Life. For Further Details, See Introductory Notes On Kuznets Series, The Source Work Cited Above, And Lipsey & Preston, Pp. 254-255. Source: Simon Kuznets, "Capital In The American Economy: Its Formation And Financing, " (Princeton University Press For NBER, 1961) Table R-32 This NBER data series a02215 appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02215

Source: Simon Kuznets, "Capital In The American Economy: Its Formation And Financing, " (Princeton University Press For NBER, 1961) This NBER data series a02216 appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02216

For Further Information On This Series, Consult Lipsey And Preston, P. 271, And The Source. Source: Raymond W. Goldsmith, "A Study Of Saving In The United States, " Vol. I, (Princeton, 1955) This NBER data series a02217 appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02217

Statistics Were Compiled By The Federal Works Agency For 1920-39 And By The Department Of The Treasury At The Request Of The Federal Works Agency For 1791-1919. Construction Was Defined In The Source (Notes On Series H33-35, P. 162) As"The Erection Of Any New Structural Or Nonstructural Improvement To Land, Ships, And Floating Equipment, Additions To And Complete Replacement Of Existing Works." Repair Comprises"Work Necessary For The Restoration And Preservation Of Structures, Nonstructural Improvements To Maintain Land And Floating Equipment In A Sound And Serviceable Condition, And Minor Alterations." Despite The Definitions, The Series Does Appear To Include Certain Expenditures That Were Not Construction Or Repair. For Example, The Purchase Of The Panama Canal For $50 Million In Fiscal Year 1904 Was Included In"Other." See Lipsey And Preston, Pp. 275-76, For Further Information. Source: Federal Works Agency-Department Of Treasury, Historical Statistics Of The U.S. 1789-1945, U.S. Bureau Of The Census, Series H27, P. 169, And Series H33, P. 170. This NBER data series a02223 appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02223

The Bls-Commerce Series On Federal Nonresidential Building In"Construction Volume And Costs 1915-56," Table 4, P. 11, Appears To Be Continuous With This Series, Even Though The Bls-Commerce Data Purport To Include Only New Construction Put In Place, Not Repairs. The Bls-Commerce Calendar-Year Figures Are Very Close To Averages Of Adjoining Fiscal-Year Figures Of This Series. See, Also, The Source Cited Above And Introductory Notes On Bls-Commerce Dept. Data. Source: Federal Works Agency-Department Of Treasury, Historical Statistics Of The United States, 1789-1945 Series H30, P. 169 This NBER data series a02224 appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02224

Military And Naval Construction Expenditures Exclude Naval Vessels. This Series Is Roughly Comparable To Bls-Commerce 02227; The Bls-Commerce Series, However, Includes Only, New Construction Put In Place, Not Repairs, And The Data Are For Calender Years. See, In Addition To The Source Work Cited Above, Lipsey & Preston Pp. 275-276. Source: Federal Works Agency-Department Of Treasury, Historical Statistics Of The United States, 1789-1945, Bureau Of The Census, Series H28, P. 169 (Compiled By Dept. Of The Treasury) This NBER data series a02225 appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02225

The Data Cover Construction And Repair Work, And Include Expenditures For Flood Control As Well As For Rivers And Harbors. Data For 1920- 57, Compiled By The Corps Of Engineers Of The U.S. Army, Are Available In The Source. For Data Covering Navigation Only, 1936-62, See"Historical Statistics, Continuation To 1962 And Revisions," Series Q245. Data On Rivers, Harbors, And Flood Control Construction Are Included In The Bls-Dept. Of Commerce Series On "Conservation And Development." See "Construction Volume And Costs 1915-1956," Statistical Supplement To Vol. 3 Of "Construction Review, 1958;" And "Value Of New Construction Put In Place 1946-1963 Revised, Construction Reports, Construction Activity," C30-61 Supplement, Bureau Of The Census, October 1964. Source: Federal Works Agency-Department Of Treasury, U.S. Bureau Of The Census, "Historical Statistics Of The United States, Colonial Times To 1957, " Series Q245. Statistics Were Compiled By The Department Of The Treasury At The Request Of The Federal Works Agency. The Following Were The Original Sources (See"Historical Statistics, " P. 443): 1822- 1882:"Statement Of Appropriations And Expenditures For Public Buildings, Rivers And Harbors, Forts, Arsenals, Armories, And Other Public Works From March 4, 1789 To June 30, 1882, " U.S. Senate Ex. Doc. Vol. 7, No. 196, 47Th Congress, 1St Session (Treasury Department Doc. No.373), Pp.521-522. 1883-1919: Federal Works Agency Records (Compiled From Treasury Department Accounts). This Series Is Also Found In"Historical Statistics, 1789-1945, " Series H29, And Is One Of The Components Of "U.S. Federal Construction Expenditures, Public Works, Total, " (Series 02223). This NBER data series a02226 appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02226

This Series Represents One Component Of The Official Series On New Public Construction. Monthly Data Are Available In The Source For 1934-62. The Data Include All Federally Owned Construction Projects At Military Establishments Except For: (1) Capehart Housing, And Rehabilitation Of Wherry Housing For The Armed Services (2) Industrial Facilities, And (3) The Corps Of Engineers-Civil Works Program. Military Construction By States Such As Armories And Rifle Ranges, Is Excluded. Types Of Projects Covered Include Troop Housing, Administration And Training Buildings, Warehouses, Mess Halls, Recreation Centers, Educational Facilities, Hospitals, Airfields, Missile Sites, Fleet Facilities, Communication Networks, Etc. Estimates Of Value Of Construction Put In Place Are Based On Monthly Reports From The Agencies Supervising Construction; Or, For Programs Consisting Of A Number Of Small Projects, On Annual Data From The Federal Budget. See Introductory Notes On Bls-Dept. Of Commerce Series And Lipsey & Preston, Pp. 268-269. Source: Bureau Of Labor Statistics; Business And Defense Services Administration, Dept. Of Commerce; Bureau Of The Census (See Note) This NBER data series a02227 appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02227

Source: See Lipsey And Preston, P. 284 This NBER data series a02232 appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02232

Data Represent Total Output Of Construction Materials, Less Exports And Plus Imports. Construction Materials Include (1) Nonmanufactured Commodities, Such As Lumber (Destined For Direct Use In Construction), Cross Ties, Sand And Gravel, And Crushed Stone; And (2) Manufactured Products, Such As Lumber Products, Cement, Brick, Rails, Structural Ironwork, Etc. (For Complete List Of Manufactured Products, See Source, Pp. 133-135) These Covered Commodities Include Some Which Were Classified Directly As Construction Materials, And Another Group Of "Mixed Commodities," Such As Lumber, Wrought Pipe, And Statuary And Art Goods, For Which The Proportion Allotable To Construction Materials Was Estimated. Value Estimates Exclude Costs After Production, Such As Transportation And Distribution Costs. For The Period 1869-1919, Output, Exports, And Imports Were Estimated As Follows. Estimates Of The Value Of Output Are Based Primarily On The"Census Of Manufactures", Decennially, 1869-1899, And Quinquennially, 1899- 1919. Intercensal Estimates Were Developed From State Statistical Reports For Seven States (See Source, Pp. 232-233), Figures From Governmental Agencies Such As The Bureau Of Mines, And The Department Of Agriculture, And From Trade Associations Such As The American Iron And Steel Institute (See Source, Pp. 241-242). Exports Were Compiled From Detailed Statistics In The December Issues Of The"Monthly Summary Of Foreign Commerce" For 1893-1919. For 1869, And 1889-1893, Calendar-Year Totals Were Derived From The"Quarterly Report Of The Chief Of The Bureau Of Statistics", U.S.Treasury Department. These Basic Export Statistics Were Modified As To Classification Of Commodities, And Were Adjusted To Price Levels Comparable With The Output Data (Manufacturers' Or Producers' Prices). Imports For Consumption, Including Duties, Were Obtained From Fiscal- Year Data In"Foreign Commerce And Navigation", And Were Adjusted To A Calendar- Year Basis. For The Period 1919-33, The Data Are Based On Kuznets' Estimates ("Commodity Flow And Capital Formation", I, New York, NBER, 1938), Adjusted To Improve Comparability With Earlier Years. Ratios Of Kuznets' Unadjusted Value Of Domestic Consumption To His Unadjusted Value Of Domestic Output Were Computed For 1919 And 1929 And Interpolated For Intervening Years. These Ratios Were Applied To Kuznets' Adjusted Output Values. After 1933 The Estimates Are Rough Extrapolations. Values In 1913 Prices Were Derived By Applying Price Indexes To The Current Price Series. For 1914-39, Bureau Of Labor Statistics Indexes For Lumber And Building Materials And For Steel Rails Were Combined, Using 1926 Weights. For 1890-1913, A Similar Composite, Using 1909 Weights, Was Combined With An Index Of Structural Steel Prices, Computed From"Metal Statistics", 1938. For Years Before 1890, Series On Eleven Commodities Were Combined, Using 1909 Bls Weights, And The Resulting Index Was Linked To The Series For Later Years. See Lipsey And Preston, Pp. 284-285. Source: William Howard Shaw, "Value Of Commodity Output Since 1869", Pp. 64-65, 69, 76-77. In Addition To The Annual Data Beginning In 1889, Estimates Are Given In The Source For 1889 And 1879 As Follows: 1869 ($ Million), Current Dollars, 377.4; 1913 Dollars, 351.4; 1879 ($ Million), Current Dollars, 444.2; 1913 Dollars, 545.7. See Lipsey And Preston, P. 284. This NBER data series a02233 appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02233

Source: Federal Works Agency-Department Of Treasury This NBER data series a02223a appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02223a

With Series (Public Construction, State And Locally Owned) This Series Represents A Breakdown By Ownership Of The Official Series On Total Public Construction. Federally Owned Construction Covers Projects On Federal Property Financed With Federal Funds. Both Force-Account And Contract Work Are Included. Beginning 1959, Alaska And Hawaii Are Included. For Estimating Procedures, Coverage, Etc., See Lipsey & Preston, P. 268, And The Introductory Documentation. Source: 1915-46, "Construction Value And Costs, 1915-56, " Statistical Supplement To Volume 3 Of"Construction Review, " Business And Defense Services Administration And Bureau Of Labor Statistics, 1958; 1947-63, "Value Of New Public Construction Put In Place By Sources Of Funds, Ownership And Type Of Construction, 1947-1963 Revised, "Bureau Of The Census, 1964. This NBER data series a02242 appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02242

With Series, This Series Represents A Breakdown By Ownership Of The Official Series On Total Public Construction. State And Locally Owned Construction Includes Projects Financed Entirely By State And Local Governments, As Well As Those Financed In Part By Federal Grants-In-Aid. This Series Includes Work Done Either By Force-Account Or By Contract. Beginning With Data For 1959, Alaska And Hawaii Are Included. For Further Information, Consult Lipsey & Preston, P. 268, And The Introductory Notes On Bls-Dept. Of Commerce Data. Source: 1915-46: "Construction Volume And Costs, 1915-1956, " Statistical Supplement To Volume 3 Of "Construction Review, " (Bls-Commerce); 1947-63, "Value Of New Public Construction Put In Place, By Souces Of Funds, Ownership And Type Of Construction, 1947-1963 Revised, " November 1964. (Bureau Of The Census) This NBER data series a02243 appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: a02243

For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/.

Copyright, 2016, OECD. Reprinted with permission. All OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)

BEA Account Code: H4212C For more information about this series, please see http://www.bea.gov/national/.

The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm. Please note that this annual series created by the Federal Reserve bank of Dallas was calculated based on a seasonally adjusted monthly series.

The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm. Please note that this annual series created by the Federal Reserve bank of Dallas was calculated based on a seasonally adjusted monthly series.

The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm. Please note that this annual series created by the Federal Reserve bank of Dallas was calculated based on a seasonally adjusted monthly series.

The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm. Please note that this annual series created by the Federal Reserve bank of Dallas was calculated based on a seasonally adjusted monthly series.

OECD descriptor ID: ULQBBU04 OECD unit ID: GPSA OECD country ID: JPN All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission.