<?xml version="1.0" encoding="UTF-8"?>
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      <subtitle>Table 132 of the 2008 US Statistical Abstract</subtitle>
      <title>Consumer Price Indexes of Medical Care Prices: 1980 to 2006</title>
      <updated-at type="datetime">2010-03-11T08:40:39Z</updated-at>
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          <main-link>http://infochimp.org/flip</main-link>
          <title>Philip (flip) Kromer</title>
          <updated-at type="datetime">2010-03-11T08:50:40Z</updated-at>
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      <notes type="array">
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          <body>The Statistical Abstract files are distributed by the &quot;US Census Department&quot;:http://www.census.gov/population/www/popdata.html as Microsoft Excel files. These files have data mixed with notes and references, multiple tables per sheet, and, worst of all, the table headers are not easily matched to their rows and columns.

A few files had extraneous characters in the title. These were corrected to be consistent. A few files have a sheet of crufty gibberish in the first slot. The sheet order was shuffled but no data were changed.

The tables that were changed (this is table 132):

&lt;pre&gt;
0166 0257 0362 0429 0445 0446 0459 0461 0462 0464 0465 0466 0467
0469 0479 0480 0481 0482 0483 0484 0485 0486 0487 0559 0628 0629
1144 1227 1231
&lt;/pre&gt;

This dataset consists of a table of 40 rows and 13 columns.


This is table 132 from the US Statistical Abstract about the topic Consumer Price Indexes of Medical Care Prices: 1980 to 2006

h3. Footnotes
# Includes other services not shown separately.
# Includes other commodities not shown separately.
# Percent change from the immediate prior year.</body>
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bq.. The Statistical Abstract of the United States, published since 1878, is the authoritative and comprehensive summary of statistics on the social, political, and economic organization of the United States.

Use the Abstract as a convenient volume for statistical reference, and as a guide to sources of more information both in print and on the Web.

Sources of data include the Census Bureau, Bureau of Labor Statistics, Bureau of Economic Analysis, and many other Federal agencies and private organizations.

p. The Infochimps repository contains the entirety of the 2008 Statistic Abstract, one dataset for each of its 1356 tables.  Stock ownership rates, statistics on livestock, foreclosure frequencies -- you name it, it's in the Statistical Abstract.</description>
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Washington, DC, 2007;
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          <updated-at type="datetime">2010-03-11T08:50:40Z</updated-at>
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          <body>The Statistical Abstract files are distributed by the &quot;US Census Department&quot;:http://www.census.gov/population/www/popdata.html as Microsoft Excel files. These files have data mixed with notes and references, multiple tables per sheet, and, worst of all, the table headers are not easily matched to their rows and columns.

A few files had extraneous characters in the title. These were corrected to be consistent. A few files have a sheet of crufty gibberish in the first slot. The sheet order was shuffled but no data were changed.

The tables that were changed (this is table 709):

&lt;pre&gt;
0166 0257 0362 0429 0445 0446 0459 0461 0462 0464 0465 0466 0467
0469 0479 0480 0481 0482 0483 0484 0485 0486 0487 0559 0628 0629
1144 1227 1231
&lt;/pre&gt;

This dataset consists of a table of 86 rows and 15 columns.


In dollars per pound, except as indicated. As of December. See Appendix III</body>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
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          <title>Description</title>
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bq.. The Statistical Abstract of the United States, published since 1878, is the authoritative and comprehensive summary of statistics on the social, political, and economic organization of the United States.

Use the Abstract as a convenient volume for statistical reference, and as a guide to sources of more information both in print and on the Web.

Sources of data include the Census Bureau, Bureau of Labor Statistics, Bureau of Economic Analysis, and many other Federal agencies and private organizations.

p. The Infochimps repository contains the entirety of the 2008 Statistic Abstract, one dataset for each of its 1356 tables.  Stock ownership rates, statistics on livestock, foreclosure frequencies -- you name it, it's in the Statistical Abstract.</description>
        <id type="integer">3</id>
        <title>Statistical Abstract of the United States</title>
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Washington, DC, 2007;
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          <updated-at type="datetime">2010-03-11T08:50:40Z</updated-at>
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      <notes type="array">
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          <body>The Statistical Abstract files are distributed by the &quot;US Census Department&quot;:http://www.census.gov/population/www/popdata.html as Microsoft Excel files. These files have data mixed with notes and references, multiple tables per sheet, and, worst of all, the table headers are not easily matched to their rows and columns.

A few files had extraneous characters in the title. These were corrected to be consistent. A few files have a sheet of crufty gibberish in the first slot. The sheet order was shuffled but no data were changed.

The tables that were changed (this is table 710):

&lt;pre&gt;
0166 0257 0362 0429 0445 0446 0459 0461 0462 0464 0465 0466 0467
0469 0479 0480 0481 0482 0483 0484 0485 0486 0487 0559 0628 0629
1144 1227 1231
&lt;/pre&gt;

This dataset consists of a table of 16 rows and 35 columns.


In dollars per unit, except electricity, in cents per kWh. Represents price to end-users, except as noted

h3. Footnotes
# See headnote.
# Refiner acquisition cost.
# Average, all service.</body>
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        <description>From the &quot;US Census bureau&quot;:http://www.census.gov/compendia/statab/

bq.. The Statistical Abstract of the United States, published since 1878, is the authoritative and comprehensive summary of statistics on the social, political, and economic organization of the United States.

Use the Abstract as a convenient volume for statistical reference, and as a guide to sources of more information both in print and on the Web.

Sources of data include the Census Bureau, Bureau of Labor Statistics, Bureau of Economic Analysis, and many other Federal agencies and private organizations.

p. The Infochimps repository contains the entirety of the 2008 Statistic Abstract, one dataset for each of its 1356 tables.  Stock ownership rates, statistics on livestock, foreclosure frequencies -- you name it, it's in the Statistical Abstract.</description>
        <id type="integer">3</id>
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    <dataset>
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A few files had extraneous characters in the title. These were corrected to be consistent. A few files have a sheet of crufty gibberish in the first slot. The sheet order was shuffled but no data were changed.

The tables that were changed (this is table 711):

&lt;pre&gt;
0166 0257 0362 0429 0445 0446 0459 0461 0462 0464 0465 0466 0467
0469 0479 0480 0481 0482 0483 0484 0485 0486 0487 0559 0628 0629
1144 1227 1231
&lt;/pre&gt;

This dataset consists of a table of 18 rows and 13 columns.


In cents per gallon. Prices are annual averages</body>
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bq.. The Statistical Abstract of the United States, published since 1878, is the authoritative and comprehensive summary of statistics on the social, political, and economic organization of the United States.

Use the Abstract as a convenient volume for statistical reference, and as a guide to sources of more information both in print and on the Web.

Sources of data include the Census Bureau, Bureau of Labor Statistics, Bureau of Economic Analysis, and many other Federal agencies and private organizations.

p. The Infochimps repository contains the entirety of the 2008 Statistic Abstract, one dataset for each of its 1356 tables.  Stock ownership rates, statistics on livestock, foreclosure frequencies -- you name it, it's in the Statistical Abstract.</description>
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A few files had extraneous characters in the title. These were corrected to be consistent. A few files have a sheet of crufty gibberish in the first slot. The sheet order was shuffled but no data were changed.

The tables that were changed (this is table 716):

&lt;pre&gt;
0166 0257 0362 0429 0445 0446 0459 0461 0462 0464 0465 0466 0467
0469 0479 0480 0481 0482 0483 0484 0485 0486 0487 0559 0628 0629
1144 1227 1231
&lt;/pre&gt;

This dataset consists of a table of 13 rows and 16 columns.


1967 = 100. Computed weekly for 1980; daily thereafter. Represents unweighted geometric average of price quotations of 23 commodities; much more sensitive to changes in market conditions than is a monthly producer price index. For description and methodology, see below table</body>
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        <description>From the &quot;US Census bureau&quot;:http://www.census.gov/compendia/statab/

bq.. The Statistical Abstract of the United States, published since 1878, is the authoritative and comprehensive summary of statistics on the social, political, and economic organization of the United States.

Use the Abstract as a convenient volume for statistical reference, and as a guide to sources of more information both in print and on the Web.

Sources of data include the Census Bureau, Bureau of Labor Statistics, Bureau of Economic Analysis, and many other Federal agencies and private organizations.

p. The Infochimps repository contains the entirety of the 2008 Statistic Abstract, one dataset for each of its 1356 tables.  Stock ownership rates, statistics on livestock, foreclosure frequencies -- you name it, it's in the Statistical Abstract.</description>
        <id type="integer">3</id>
        <title>Statistical Abstract of the United States</title>
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    <dataset>
      <cached-score type="decimal">42.3</cached-score>
      <cached-slug>indexes-of-prices-received-and-paid-by-farmers-1980-to-2006</cached-slug>
      <created-at type="datetime" nil="true"></created-at>
      <id type="integer">808</id>
      <license-id type="integer">11</license-id>
      <main-link></main-link>
      <owner-id type="integer">2</owner-id>
      <price-in-cents type="integer" nil="true"></price-in-cents>
      <protected type="boolean" nil="true"></protected>
      <subtitle>Table 812 of the 2008 US Statistical Abstract</subtitle>
      <title>Indexes of Prices Received and Paid by Farmers: 1980 to 2006</title>
      <updated-at type="datetime">2010-03-11T08:41:40Z</updated-at>
      <tag-list>america,census,demographics,government,indexes,paid,population,prices,received</tag-list>
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          <cached-slug>census-bureau</cached-slug>
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          <description>U.S. Census Bureau,
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        <source>
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          <main-link>http://infochimp.org/flip</main-link>
          <title>Philip (flip) Kromer</title>
          <updated-at type="datetime">2010-03-11T08:50:40Z</updated-at>
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      </sources>
      <notes type="array">
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          <body>The Statistical Abstract files are distributed by the &quot;US Census Department&quot;:http://www.census.gov/population/www/popdata.html as Microsoft Excel files. These files have data mixed with notes and references, multiple tables per sheet, and, worst of all, the table headers are not easily matched to their rows and columns.

A few files had extraneous characters in the title. These were corrected to be consistent. A few files have a sheet of crufty gibberish in the first slot. The sheet order was shuffled but no data were changed.

The tables that were changed (this is table 812):

&lt;pre&gt;
0166 0257 0362 0429 0445 0446 0459 0461 0462 0464 0465 0466 0467
0469 0479 0480 0481 0482 0483 0484 0485 0486 0487 0559 0628 0629
1144 1227 1231
&lt;/pre&gt;

This dataset consists of a table of 41 rows and 29 columns.


1990-1992 = 100, except as noted

h3. Footnotes
# Excludes potatoes and dry beans.
# Includes production items, interest, taxes, wage rates,
and a family living component. The family living component is the
Consumer Price Index for all urban consumers from the Bureau of
Labor Statistics. See text, Section 14, and Table 703.
# Ratio of prices received by farmers to prices paid.</body>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
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          <title>Description</title>
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bq.. The Statistical Abstract of the United States, published since 1878, is the authoritative and comprehensive summary of statistics on the social, political, and economic organization of the United States.

Use the Abstract as a convenient volume for statistical reference, and as a guide to sources of more information both in print and on the Web.

Sources of data include the Census Bureau, Bureau of Labor Statistics, Bureau of Economic Analysis, and many other Federal agencies and private organizations.

p. The Infochimps repository contains the entirety of the 2008 Statistic Abstract, one dataset for each of its 1356 tables.  Stock ownership rates, statistics on livestock, foreclosure frequencies -- you name it, it's in the Statistical Abstract.</description>
        <id type="integer">3</id>
        <title>Statistical Abstract of the United States</title>
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A few files had extraneous characters in the title. These were corrected to be consistent. A few files have a sheet of crufty gibberish in the first slot. The sheet order was shuffled but no data were changed.

The tables that were changed (this is table 855):

&lt;pre&gt;
0166 0257 0362 0429 0445 0446 0459 0461 0462 0464 0465 0466 0467
0469 0479 0480 0481 0482 0483 0484 0485 0486 0487 0559 0628 0629
1144 1227 1231
&lt;/pre&gt;

This dataset consists of a table of 19 rows and 29 columns.


In dollars per 1,000 board feet. Stumpage prices are based on sales of sawtimber from national forests

h3. Footnotes
# Deflated by the producer price index, all commodities.
# Western Washington and western Oregon.
# Southern region.
# Pacific Southwest region (formerly California region).
# Includes Jeffrey pine.
# Pacific Northwest region.
# Eastern and Southern regions.
# Eastern region.</body>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
          <id type="integer">8704</id>
          <title>Description</title>
          <updated-at type="datetime">2010-01-29T06:58:10Z</updated-at>
        </note>
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        <created-at type="datetime">2009-08-07T04:15:43Z</created-at>
        <description>From the &quot;US Census bureau&quot;:http://www.census.gov/compendia/statab/

bq.. The Statistical Abstract of the United States, published since 1878, is the authoritative and comprehensive summary of statistics on the social, political, and economic organization of the United States.

Use the Abstract as a convenient volume for statistical reference, and as a guide to sources of more information both in print and on the Web.

Sources of data include the Census Bureau, Bureau of Labor Statistics, Bureau of Economic Analysis, and many other Federal agencies and private organizations.

p. The Infochimps repository contains the entirety of the 2008 Statistic Abstract, one dataset for each of its 1356 tables.  Stock ownership rates, statistics on livestock, foreclosure frequencies -- you name it, it's in the Statistical Abstract.</description>
        <id type="integer">3</id>
        <title>Statistical Abstract of the United States</title>
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&quot;http://www.census.gov/statab/www/&quot;:http://www.census.gov/statab/www</description>
          <id type="integer">1</id>
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        <source>
          <cached-slug>philip-flip-kromer</cached-slug>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
          <description>Please add a description to this source.</description>
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          <main-link>http://infochimp.org/flip</main-link>
          <title>Philip (flip) Kromer</title>
          <updated-at type="datetime">2010-03-11T08:50:40Z</updated-at>
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      </sources>
      <notes type="array">
        <note>
          <body>The Statistical Abstract files are distributed by the &quot;US Census Department&quot;:http://www.census.gov/population/www/popdata.html as Microsoft Excel files. These files have data mixed with notes and references, multiple tables per sheet, and, worst of all, the table headers are not easily matched to their rows and columns.

A few files had extraneous characters in the title. These were corrected to be consistent. A few files have a sheet of crufty gibberish in the first slot. The sheet order was shuffled but no data were changed.

The tables that were changed (this is table 870):

&lt;pre&gt;
0166 0257 0362 0429 0445 0446 0459 0461 0462 0464 0465 0466 0467
0469 0479 0480 0481 0482 0483 0484 0485 0486 0487 0559 0628 0629
1144 1227 1231
&lt;/pre&gt;

This dataset consists of a table of 84 rows and 13 columns.


Excludes Alaska and Hawaii, except as noted

h3. Footnotes
# Domestic market prices for wirebar, 1970, 1975-77;
U.S. producer prices for cathode thereafter.
# Average annual dealer prices.
# 99.95 percent purity.
# 1970, New York prices; beginning 1975, nationwide delivered basis.
# London Metal Exchange cash price.
# Straits tin through 1975; thereafter, composite price.
# Platt's Metals Week price for North American Special High Grade zinc. Average prices prior to 1991 are for U.S. High Grade Zinc.
# F.o.b. (Free on Board) works.
# Average value at the point of production or domestic first purchase price.
# Through 1978, includes subbituminous coal.</body>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
          <id type="integer">8860</id>
          <title>Description</title>
          <updated-at type="datetime">2010-01-29T06:58:11Z</updated-at>
        </note>
      </notes>
      <collection>
        <created-at type="datetime">2009-08-07T04:15:43Z</created-at>
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bq.. The Statistical Abstract of the United States, published since 1878, is the authoritative and comprehensive summary of statistics on the social, political, and economic organization of the United States.

Use the Abstract as a convenient volume for statistical reference, and as a guide to sources of more information both in print and on the Web.

Sources of data include the Census Bureau, Bureau of Labor Statistics, Bureau of Economic Analysis, and many other Federal agencies and private organizations.

p. The Infochimps repository contains the entirety of the 2008 Statistic Abstract, one dataset for each of its 1356 tables.  Stock ownership rates, statistics on livestock, foreclosure frequencies -- you name it, it's in the Statistical Abstract.</description>
        <id type="integer">3</id>
        <title>Statistical Abstract of the United States</title>
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    <dataset>
      <cached-score type="decimal">30.9</cached-score>
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      <subtitle>Table 883 of the 2008 US Statistical Abstract</subtitle>
      <title>Coal Supply, Disposition, and Prices: 2000 to 2006</title>
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          <id type="integer">2</id>
          <main-link>http://infochimp.org/flip</main-link>
          <title>Philip (flip) Kromer</title>
          <updated-at type="datetime">2010-03-11T08:50:40Z</updated-at>
        </source>
      </sources>
      <notes type="array">
        <note>
          <body>The Statistical Abstract files are distributed by the &quot;US Census Department&quot;:http://www.census.gov/population/www/popdata.html as Microsoft Excel files. These files have data mixed with notes and references, multiple tables per sheet, and, worst of all, the table headers are not easily matched to their rows and columns.

A few files had extraneous characters in the title. These were corrected to be consistent. A few files have a sheet of crufty gibberish in the first slot. The sheet order was shuffled but no data were changed.

The tables that were changed (this is table 883):

&lt;pre&gt;
0166 0257 0362 0429 0445 0446 0459 0461 0462 0464 0465 0466 0467
0469 0479 0480 0481 0482 0483 0484 0485 0486 0487 0559 0628 0629
1144 1227 1231
&lt;/pre&gt;

This dataset consists of a table of 48 rows and 8 columns.


In millions of short tons (1,089.9 represents 1,089,900,000). 1 short ton = 2,000 lbs.

h3. Footnotes
# Includes utility coal-fired power plants sold to nonutilities 1998 through 2000.  Coal
consumption by cogenerators are included in the end-use sector.
# Average delivered price is through November 2006.</body>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
          <id type="integer">8998</id>
          <title>Description</title>
          <updated-at type="datetime">2010-01-29T06:58:11Z</updated-at>
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      </notes>
      <collection>
        <created-at type="datetime">2009-08-07T04:15:43Z</created-at>
        <description>From the &quot;US Census bureau&quot;:http://www.census.gov/compendia/statab/

bq.. The Statistical Abstract of the United States, published since 1878, is the authoritative and comprehensive summary of statistics on the social, political, and economic organization of the United States.

Use the Abstract as a convenient volume for statistical reference, and as a guide to sources of more information both in print and on the Web.

Sources of data include the Census Bureau, Bureau of Labor Statistics, Bureau of Economic Analysis, and many other Federal agencies and private organizations.

p. The Infochimps repository contains the entirety of the 2008 Statistic Abstract, one dataset for each of its 1356 tables.  Stock ownership rates, statistics on livestock, foreclosure frequencies -- you name it, it's in the Statistical Abstract.</description>
        <id type="integer">3</id>
        <title>Statistical Abstract of the United States</title>
      </collection>
      <license>
        <description>This dataset was prepared by the government and is therefore in the public domain.  There are no restrictions upon its use.</description>
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        <title>Public Domain (Government Work)</title>
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    <dataset>
      <cached-score type="decimal">41.0</cached-score>
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      <subtitle>Table 894 of the 2008 US Statistical Abstract</subtitle>
      <title>Fossil Fuel Prices in Current and Constant (1996) Dollars: 1960 to 2005</title>
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          <updated-at type="datetime">2010-03-11T08:50:40Z</updated-at>
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      <notes type="array">
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          <body>The Statistical Abstract files are distributed by the &quot;US Census Department&quot;:http://www.census.gov/population/www/popdata.html as Microsoft Excel files. These files have data mixed with notes and references, multiple tables per sheet, and, worst of all, the table headers are not easily matched to their rows and columns.

A few files had extraneous characters in the title. These were corrected to be consistent. A few files have a sheet of crufty gibberish in the first slot. The sheet order was shuffled but no data were changed.

The tables that were changed (this is table 894):

&lt;pre&gt;
0166 0257 0362 0429 0445 0446 0459 0461 0462 0464 0465 0466 0467
0469 0479 0480 0481 0482 0483 0484 0485 0486 0487 0559 0628 0629
1144 1227 1231
&lt;/pre&gt;

This dataset consists of a table of 31 rows and 47 columns.


In dollars per million British thermal units (Btu), except as indicated. For definition of Btu and mineral fuel conversions, see source and text, this section. All fuel prices taken as close to the point of production as possible. Minus sign (-) indicates decrease

h3. Footnotes
# Preliminary.
# Derived by multiplying the price per Btu of each fossil fuel by the total Btu content of the
production of each fossil fuel and dividing this accumulated value of total fossil fuel
production by the accumulated Btu content of total fossil fuel production.
# Domestic first purchase prices.
# Wellhead prices.
# Free-on board (f.o.b.) rail/barge prices, which are the free-on-board prices of coal at the point of first sale,
excluding freight or shipping and insurance costs. Includes bituminous coal, subbituminous coal, and
lignite.</body>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
          <id type="integer">9114</id>
          <title>Description</title>
          <updated-at type="datetime">2010-01-29T06:58:12Z</updated-at>
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      </notes>
      <collection>
        <created-at type="datetime">2009-08-07T04:15:43Z</created-at>
        <description>From the &quot;US Census bureau&quot;:http://www.census.gov/compendia/statab/

bq.. The Statistical Abstract of the United States, published since 1878, is the authoritative and comprehensive summary of statistics on the social, political, and economic organization of the United States.

Use the Abstract as a convenient volume for statistical reference, and as a guide to sources of more information both in print and on the Web.

Sources of data include the Census Bureau, Bureau of Labor Statistics, Bureau of Economic Analysis, and many other Federal agencies and private organizations.

p. The Infochimps repository contains the entirety of the 2008 Statistic Abstract, one dataset for each of its 1356 tables.  Stock ownership rates, statistics on livestock, foreclosure frequencies -- you name it, it's in the Statistical Abstract.</description>
        <id type="integer">3</id>
        <title>Statistical Abstract of the United States</title>
      </collection>
      <license>
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      <subtitle>Table 896 of the 2008 US Statistical Abstract</subtitle>
      <title>Energy Expenditures and Average Fuel Prices, by Source and Sector: 1970 to 2004</title>
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A few files had extraneous characters in the title. These were corrected to be consistent. A few files have a sheet of crufty gibberish in the first slot. The sheet order was shuffled but no data were changed.

The tables that were changed (this is table 896):

&lt;pre&gt;
0166 0257 0362 0429 0445 0446 0459 0461 0462 0464 0465 0466 0467
0469 0479 0480 0481 0482 0483 0484 0485 0486 0487 0559 0628 0629
1144 1227 1231
&lt;/pre&gt;

This dataset consists of a table of 25 rows and 39 columns.


In millions of dollars (82,911 represents $82,911,000,000), except as indicated. For definition of Btu, see text, this section. End-use sector and electric utilities exclude expenditures and prices on energy sources such as hydropower, solar, wind, and geothermal.  Also excludes expenditures for reported amounts of energy consumed by the energy industry for production, transportation, and processing operations

h3. Footnotes
# Includes other sources not shown separately. From 1981 through 1992, total also includes ethanol blended into gasoline that is not included in motor gasoline for those years.
# There are no direct fuel costs for geothermal, photovoltaic, or solar thermal energy.
# There are no direct fuel costs for hydroelectric, geothermal, photovoltaic, or solar thermal energy.
# There are no direct fuel costs for hydroelectric, geothermal, wind, photovoltaic, or solar
thermal energy.
# There is a discontinuity in the time series between
1988 and 1989 due to the expanded coverage of nonelectric utility use of wood and waste
beginning in 1989.</body>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
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bq.. The Statistical Abstract of the United States, published since 1878, is the authoritative and comprehensive summary of statistics on the social, political, and economic organization of the United States.

Use the Abstract as a convenient volume for statistical reference, and as a guide to sources of more information both in print and on the Web.

Sources of data include the Census Bureau, Bureau of Labor Statistics, Bureau of Economic Analysis, and many other Federal agencies and private organizations.

p. The Infochimps repository contains the entirety of the 2008 Statistic Abstract, one dataset for each of its 1356 tables.  Stock ownership rates, statistics on livestock, foreclosure frequencies -- you name it, it's in the Statistical Abstract.</description>
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The tables that were changed (this is table 908):

&lt;pre&gt;
0166 0257 0362 0429 0445 0446 0459 0461 0462 0464 0465 0466 0467
0469 0479 0480 0481 0482 0483 0484 0485 0486 0487 0559 0628 0629
1144 1227 1231
&lt;/pre&gt;

This dataset consists of a table of 27 rows and 28 columns.


43.70 represents 43,700,000 pounds. Years ending Dec. 31. For additional data on uranium, see Section 18. Based on a survey of all companies involved in the U.S. uranium industry; for description, see below table

h3. Footnotes
# Data are for uranium concentrate, a yellow or brown powder obtained by the milling of uranium ore,
processing of in situ leach mining solutions, or as a byproduct of phosphoric acid production.
# Import quantities through 1970 are reported for fiscal years. Prior to 1968, the Atomic Energy
Commission was the sole purchaser of all imported U3O8. Trade data prior to 1982 were for transactions
conducted by uranium suppliers only. For 1982 forward, transactions by uranium buyers (consumers) have
been included. Buyer imports and exports prior to 1982 are believed to be small.
# Does not include any fuel rods removed from reactors and
later reloaded into the reactor.
# Uranium content. Source: Nuclear Assurance Corporation, Atlanta, GA.
# Reprocessed fuel not included as inventory.</body>
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bq.. The Statistical Abstract of the United States, published since 1878, is the authoritative and comprehensive summary of statistics on the social, political, and economic organization of the United States.

Use the Abstract as a convenient volume for statistical reference, and as a guide to sources of more information both in print and on the Web.

Sources of data include the Census Bureau, Bureau of Labor Statistics, Bureau of Economic Analysis, and many other Federal agencies and private organizations.

p. The Infochimps repository contains the entirety of the 2008 Statistic Abstract, one dataset for each of its 1356 tables.  Stock ownership rates, statistics on livestock, foreclosure frequencies -- you name it, it's in the Statistical Abstract.</description>
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    <dataset>
      <cached-score type="decimal">53.7</cached-score>
      <cached-slug>electricity----end-use-and-average-retail-prices-1960-to-2005</cached-slug>
      <created-at type="datetime" nil="true"></created-at>
      <id type="integer">907</id>
      <license-id type="integer">11</license-id>
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      <price-in-cents type="integer" nil="true"></price-in-cents>
      <protected type="boolean" nil="true"></protected>
      <subtitle>Table 911 of the 2008 US Statistical Abstract</subtitle>
      <title>Electricity -- End Use and Average Retail Prices: 1960 to 2005</title>
      <updated-at type="datetime">2010-03-11T08:41:49Z</updated-at>
      <tag-list>america,average,census,demographics,government,population,prices,retail,use</tag-list>
      <categories type="array"/>
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          <cached-slug>census-bureau</cached-slug>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
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Statistical Abstract of the United States: 2008 (127th Edition)
Washington, DC, 2007;
&quot;http://www.census.gov/statab/www/&quot;:http://www.census.gov/statab/www</description>
          <id type="integer">1</id>
          <main-link>http://www.census.gov/statab/www</main-link>
          <title>Census Bureau</title>
          <updated-at type="datetime">2010-03-11T08:50:40Z</updated-at>
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        <source>
          <cached-slug>philip-flip-kromer</cached-slug>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
          <description>Please add a description to this source.</description>
          <id type="integer">2</id>
          <main-link>http://infochimp.org/flip</main-link>
          <title>Philip (flip) Kromer</title>
          <updated-at type="datetime">2010-03-11T08:50:40Z</updated-at>
        </source>
      </sources>
      <notes type="array">
        <note>
          <body>The Statistical Abstract files are distributed by the &quot;US Census Department&quot;:http://www.census.gov/population/www/popdata.html as Microsoft Excel files. These files have data mixed with notes and references, multiple tables per sheet, and, worst of all, the table headers are not easily matched to their rows and columns.

A few files had extraneous characters in the title. These were corrected to be consistent. A few files have a sheet of crufty gibberish in the first slot. The sheet order was shuffled but no data were changed.

The tables that were changed (this is table 911):

&lt;pre&gt;
0166 0257 0362 0429 0445 0446 0459 0461 0462 0464 0465 0466 0467
0469 0479 0480 0481 0482 0483 0484 0485 0486 0487 0559 0628 0629
1144 1227 1231
&lt;/pre&gt;

This dataset consists of a table of 33 rows and 47 columns.


Beginning 2003, the category &quot;other&quot; has been replaced by &quot;transportation,&quot; and the categories &quot;commercial&quot; and &quot;industrial&quot; have been redefined. Data represent revenue from electricity retail sales divided by the amount of retail electricity sold (in kilowatthours). Prices include State and local taxes, energy or demand charges, customer service charges, environmental surcharges, franchise fees, fuel adjustments, and other miscellaneous charges applied to end-use customers during normal billing operations. Prices do not include deferred charges, credits, or other adjustments, such as fuel or revenue from purchased power, from previous reporting periods. Through 1979, data are for Classes A and B privately owned electric utilities only. For 1980-1982, data are for selected Class A utilities whose electric operating revenues were $100 million or more during the previous year. For 1983, data are for a selected sample of electric utilities. Beginning in 1984, data are for a census of electric utilities. Beginning in 1996, data also include energy service providers selling to retail customers

h3. Footnotes
# Preliminary.
# The sum of &quot;total retail sales&quot; and &quot;direct use.&quot;
# Use of electricity that is 1) self-generated, 2) produced by either the same entity that consumes the
power or an affiliate, and 3) used in direct support of a service or industrial process located within the same
facility or group of facilities that house the generating equipment. Direct use is exclusive of station use.
# Electricity retail sales to ultimate customers reported by electric utilities and, beginning in 1996, other
energy service providers.
# Includes public street and highway lighting, interdepartmental sales, and other sales to public
authorities.
# Beginning 2003, includes agriculture and irrigation.
# Includes sales to railroads and railways.
# Beginning 2003, includes public street and highway lighting, interdepartmental sales, and other sales to
public authorities.
# Public street and highway lighting, interdepartmental sales, other sales to public authorities, agriculture
and irrigation, and transportation including railroads and railways.</body>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
          <id type="integer">9294</id>
          <title>Description</title>
          <updated-at type="datetime">2010-01-29T06:58:13Z</updated-at>
        </note>
      </notes>
      <collection>
        <created-at type="datetime">2009-08-07T04:15:43Z</created-at>
        <description>From the &quot;US Census bureau&quot;:http://www.census.gov/compendia/statab/

bq.. The Statistical Abstract of the United States, published since 1878, is the authoritative and comprehensive summary of statistics on the social, political, and economic organization of the United States.

Use the Abstract as a convenient volume for statistical reference, and as a guide to sources of more information both in print and on the Web.

Sources of data include the Census Bureau, Bureau of Labor Statistics, Bureau of Economic Analysis, and many other Federal agencies and private organizations.

p. The Infochimps repository contains the entirety of the 2008 Statistic Abstract, one dataset for each of its 1356 tables.  Stock ownership rates, statistics on livestock, foreclosure frequencies -- you name it, it's in the Statistical Abstract.</description>
        <id type="integer">3</id>
        <title>Statistical Abstract of the United States</title>
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        <main-link nil="true"></main-link>
        <title>Public Domain (Government Work)</title>
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    <dataset>
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      <subtitle>Table 1176 of the 2008 US Statistical Abstract</subtitle>
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Dow Jones Indexes, (copyright).
4 Source: U.S. Council of Economic Advisors,
Economic Indicators, monthly.
5 Aggregate cash dividends (based on latest known annual rate) divided by
aggregate market value based on Wednesday closing prices. Averages of
monthly figures.
6 Averages of quarterly ratios which are ratio of earnings (after taxes)
for 4 quarters ending with particular quarter-to-price index for last
day of that quarter.
__referenced on dataset section Notes (#2)__</description>
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          <updated-at type="datetime">2010-03-11T08:50:42Z</updated-at>
        </source>
      </sources>
      <notes type="array">
        <note>
          <body>The Statistical Abstract files are distributed by the &quot;US Census Department&quot;:http://www.census.gov/population/www/popdata.html as Microsoft Excel files. These files have data mixed with notes and references, multiple tables per sheet, and, worst of all, the table headers are not easily matched to their rows and columns.

A few files had extraneous characters in the title. These were corrected to be consistent. A few files have a sheet of crufty gibberish in the first slot. The sheet order was shuffled but no data were changed.

The tables that were changed (this is table 1176):

&lt;pre&gt;
0166 0257 0362 0429 0445 0446 0459 0461 0462 0464 0465 0466 0467
0469 0479 0480 0481 0482 0483 0484 0485 0486 0487 0559 0628 0629
1144 1227 1231
&lt;/pre&gt;

This dataset consists of a table of 55 rows and 38 columns.


Closing values as of end of December, except as noted

h3. Footnotes
# Standard &amp;amp; Poor's Indices are market-value weighted and are chosen for market size,
liquidity, and industry group representation.
The S&amp;amp;P 500 index represents 500 large publicly-traded companies.
The S&amp;amp;P MidCap Index tracks mid-cap companies.
The S&amp;amp;P SmallCap Index consists of 600 domestic small-cap stocks.
# The Russell 1000 and 3000 indices show respectively the 1000 and 3000
largest capitalization stocks in the United States. The Russell 2000 index
shows the 2000 largest capitalization stocks in the United States after
the first 1000.
# The Dow Jones Wilshire 5000 Composite Index measures the performance of all U.S.
headquartered equity securities with readily available prices.</body>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
          <id type="integer">11966</id>
          <title>Description</title>
          <updated-at type="datetime">2010-01-29T06:58:28Z</updated-at>
        </note>
      </notes>
      <collection>
        <created-at type="datetime">2009-08-07T04:15:43Z</created-at>
        <description>From the &quot;US Census bureau&quot;:http://www.census.gov/compendia/statab/

bq.. The Statistical Abstract of the United States, published since 1878, is the authoritative and comprehensive summary of statistics on the social, political, and economic organization of the United States.

Use the Abstract as a convenient volume for statistical reference, and as a guide to sources of more information both in print and on the Web.

Sources of data include the Census Bureau, Bureau of Labor Statistics, Bureau of Economic Analysis, and many other Federal agencies and private organizations.

p. The Infochimps repository contains the entirety of the 2008 Statistic Abstract, one dataset for each of its 1356 tables.  Stock ownership rates, statistics on livestock, foreclosure frequencies -- you name it, it's in the Statistical Abstract.</description>
        <id type="integer">3</id>
        <title>Statistical Abstract of the United States</title>
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        <description>This dataset was prepared by the government and is therefore in the public domain.  There are no restrictions upon its use.</description>
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          <old-payload-id type="integer">3502</old-payload-id>
          <owner-id type="integer" nil="true"></owner-id>
          <path>http://infochimps.org/ics/data/pkgd/demographics/us/statisticalabstract/statab2008_1176_StockPricesAndYields1970To2006/statab2008_1176_StockPricesAndYields1970To2006-xls.tar.bz2</path>
          <pkg-fmt>tar.bz2</pkg-fmt>
          <pkg-size type="integer">15091</pkg-size>
          <updated-at type="datetime">2010-03-11T08:37:45Z</updated-at>
          <upload-id nil="true"></upload-id>
        </package>
      </packages>
    </dataset>
    <dataset>
      <cached-score type="decimal">38.8</cached-score>
      <cached-slug>annual-percent-changes-in-consumer-prices-by-country-2000-to-200</cached-slug>
      <created-at type="datetime" nil="true"></created-at>
      <id type="integer">1312</id>
      <license-id type="integer">11</license-id>
      <main-link></main-link>
      <owner-id type="integer">2</owner-id>
      <price-in-cents type="integer" nil="true"></price-in-cents>
      <protected type="boolean" nil="true"></protected>
      <subtitle>Table 1321 of the 2008 US Statistical Abstract</subtitle>
      <title>Annual Percent Changes in Consumer Prices, by Country: 2000 to 2006</title>
      <updated-at type="datetime">2010-03-11T08:42:31Z</updated-at>
      <tag-list>america,annual,census,consumer,country,demographics,government,percent,population,prices</tag-list>
      <categories type="array"/>
      <sources type="array">
        <source>
          <cached-slug>census-bureau</cached-slug>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
          <description>U.S. Census Bureau,
Statistical Abstract of the United States: 2008 (127th Edition)
Washington, DC, 2007;
&quot;http://www.census.gov/statab/www/&quot;:http://www.census.gov/statab/www</description>
          <id type="integer">1</id>
          <main-link>http://www.census.gov/statab/www</main-link>
          <title>Census Bureau</title>
          <updated-at type="datetime">2010-03-11T08:50:40Z</updated-at>
        </source>
        <source>
          <cached-slug>philip-flip-kromer</cached-slug>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
          <description>Please add a description to this source.</description>
          <id type="integer">2</id>
          <main-link>http://infochimp.org/flip</main-link>
          <title>Philip (flip) Kromer</title>
          <updated-at type="datetime">2010-03-11T08:50:40Z</updated-at>
        </source>
        <source>
          <cached-slug>international-monetary-fund-washington-dc</cached-slug>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
          <description>International Monetary Fund, Washington, DC,
International Financial Statistics, monthly, (copyright).
__referenced on dataset section Data (#1)__</description>
          <id type="integer">5401</id>
          <main-link></main-link>
          <title>International Monetary Fund, Washington, DC</title>
          <updated-at type="datetime">2010-03-11T08:50:43Z</updated-at>
        </source>
      </sources>
      <notes type="array">
        <note>
          <body>The Statistical Abstract files are distributed by the &quot;US Census Department&quot;:http://www.census.gov/population/www/popdata.html as Microsoft Excel files. These files have data mixed with notes and references, multiple tables per sheet, and, worst of all, the table headers are not easily matched to their rows and columns.

A few files had extraneous characters in the title. These were corrected to be consistent. A few files have a sheet of crufty gibberish in the first slot. The sheet order was shuffled but no data were changed.

The tables that were changed (this is table 1321):

&lt;pre&gt;
0166 0257 0362 0429 0445 0446 0459 0461 0462 0464 0465 0466 0467
0469 0479 0480 0481 0482 0483 0484 0485 0486 0487 0559 0628 0629
1144 1227 1231
&lt;/pre&gt;

This dataset consists of a table of 50 rows and 9 columns.


Change from previous year. See text of this section for general comments concerning the data. For additional qualifications of the data for individual countries, see source. Minus sign (-) indicates decrease

h3. Footnotes
# Prior to July 1990, data for former West Germany.</body>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
          <id type="integer">13443</id>
          <title>Description</title>
          <updated-at type="datetime">2010-01-29T06:58:38Z</updated-at>
        </note>
      </notes>
      <collection>
        <created-at type="datetime">2009-08-07T04:15:43Z</created-at>
        <description>From the &quot;US Census bureau&quot;:http://www.census.gov/compendia/statab/

bq.. The Statistical Abstract of the United States, published since 1878, is the authoritative and comprehensive summary of statistics on the social, political, and economic organization of the United States.

Use the Abstract as a convenient volume for statistical reference, and as a guide to sources of more information both in print and on the Web.

Sources of data include the Census Bureau, Bureau of Labor Statistics, Bureau of Economic Analysis, and many other Federal agencies and private organizations.

p. The Infochimps repository contains the entirety of the 2008 Statistic Abstract, one dataset for each of its 1356 tables.  Stock ownership rates, statistics on livestock, foreclosure frequencies -- you name it, it's in the Statistical Abstract.</description>
        <id type="integer">3</id>
        <title>Statistical Abstract of the United States</title>
      </collection>
      <license>
        <description>This dataset was prepared by the government and is therefore in the public domain.  There are no restrictions upon its use.</description>
        <main-link nil="true"></main-link>
        <title>Public Domain (Government Work)</title>
      </license>
      <packages type="array">
        <package>
          <bucket nil="true"></bucket>
          <created-at type="datetime">2010-03-11T08:37:51Z</created-at>
          <fmt>csv</fmt>
          <id type="integer">7867</id>
          <kind>infochimps.org</kind>
          <num-files type="integer">-1</num-files>
          <num-records type="integer" nil="true"></num-records>
          <old-payload-id type="integer">3934</old-payload-id>
          <owner-id type="integer" nil="true"></owner-id>
          <path>http://infochimps.org/ics/data/pkgd/demographics/us/statisticalabstract/statab2008_1321_AnnualPercentChangesInConsumerPrice/statab2008_1321_AnnualPercentChangesInConsumerPrice-csv.zip</path>
          <pkg-fmt>zip</pkg-fmt>
          <pkg-size type="integer">4758</pkg-size>
          <updated-at type="datetime">2010-03-11T08:37:51Z</updated-at>
          <upload-id nil="true"></upload-id>
        </package>
        <package>
          <bucket nil="true"></bucket>
          <created-at type="datetime">2010-03-11T08:37:51Z</created-at>
          <fmt>csv</fmt>
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          <kind>infochimps.org</kind>
          <num-files type="integer">-1</num-files>
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          <path>http://infochimps.org/ics/data/pkgd/demographics/us/statisticalabstract/statab2008_1321_AnnualPercentChangesInConsumerPrice/statab2008_1321_AnnualPercentChangesInConsumerPrice-csv.tar.bz2</path>
          <pkg-fmt>tar.bz2</pkg-fmt>
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          <updated-at type="datetime">2010-03-11T08:37:51Z</updated-at>
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        <package>
          <bucket nil="true"></bucket>
          <created-at type="datetime">2010-03-11T08:37:51Z</created-at>
          <fmt>yaml</fmt>
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          <path>http://infochimps.org/ics/data/pkgd/demographics/us/statisticalabstract/statab2008_1321_AnnualPercentChangesInConsumerPrice/statab2008_1321_AnnualPercentChangesInConsumerPrice-yaml.zip</path>
          <pkg-fmt>zip</pkg-fmt>
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          <pkg-fmt>tar.bz2</pkg-fmt>
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        <package>
          <bucket nil="true"></bucket>
          <created-at type="datetime">2010-03-11T08:37:51Z</created-at>
          <fmt>xls</fmt>
          <id type="integer">7871</id>
          <kind>infochimps.org</kind>
          <num-files type="integer">-1</num-files>
          <num-records type="integer" nil="true"></num-records>
          <old-payload-id type="integer">3934</old-payload-id>
          <owner-id type="integer" nil="true"></owner-id>
          <path>http://infochimps.org/ics/data/pkgd/demographics/us/statisticalabstract/statab2008_1321_AnnualPercentChangesInConsumerPrice/statab2008_1321_AnnualPercentChangesInConsumerPrice-xls.zip</path>
          <pkg-fmt>zip</pkg-fmt>
          <pkg-size type="integer">8813</pkg-size>
          <updated-at type="datetime">2010-03-11T08:37:51Z</updated-at>
          <upload-id nil="true"></upload-id>
        </package>
        <package>
          <bucket nil="true"></bucket>
          <created-at type="datetime">2010-03-11T08:37:51Z</created-at>
          <fmt>xls</fmt>
          <id type="integer">7872</id>
          <kind>infochimps.org</kind>
          <num-files type="integer">-1</num-files>
          <num-records type="integer" nil="true"></num-records>
          <old-payload-id type="integer">3934</old-payload-id>
          <owner-id type="integer" nil="true"></owner-id>
          <path>http://infochimps.org/ics/data/pkgd/demographics/us/statisticalabstract/statab2008_1321_AnnualPercentChangesInConsumerPrice/statab2008_1321_AnnualPercentChangesInConsumerPrice-xls.tar.bz2</path>
          <pkg-fmt>tar.bz2</pkg-fmt>
          <pkg-size type="integer">8813</pkg-size>
          <updated-at type="datetime">2010-03-11T08:37:51Z</updated-at>
          <upload-id nil="true"></upload-id>
        </package>
      </packages>
    </dataset>
    <dataset>
      <cached-score type="decimal">29.9</cached-score>
      <cached-slug>average-house-prices-in-the-uk-by-postcode</cached-slug>
      <created-at type="datetime">2009-05-21T05:00:18Z</created-at>
      <id type="integer">11474</id>
      <license-id type="integer" nil="true"></license-id>
      <main-link>http://www.nestoria.co.uk/help/api-tech</main-link>
      <owner-id type="integer">2</owner-id>
      <price-in-cents type="integer" nil="true"></price-in-cents>
      <protected type="boolean" nil="true"></protected>
      <subtitle nil="true"></subtitle>
      <title>average house prices in the UK by postcode</title>
      <updated-at type="datetime">2010-03-11T08:46:09Z</updated-at>
      <tag-list>houses,prices,real_estate</tag-list>
      <categories type="array"/>
      <sources type="array">
        <source>
          <cached-slug>wwwnestoriacouk</cached-slug>
          <created-at type="datetime">2009-05-21T05:00:18Z</created-at>
          <description>Source for dataset &quot;average house prices in the UK by postcode&quot; as listed by CKAN.</description>
          <id type="integer">12725</id>
          <main-link>http://www.nestoria.co.uk/help/api-tech</main-link>
          <title>www.nestoria.co.uk</title>
          <updated-at type="datetime">2010-03-11T08:50:44Z</updated-at>
        </source>
      </sources>
      <notes type="array">
        <note>
          <body>ReST API (XML or JSON output) of current average house prices for rental and sales per postcode area. Per month. Historical data starts 2007.</body>
          <created-at type="datetime">2009-05-21T05:00:18Z</created-at>
          <id type="integer">41707</id>
          <title>Description</title>
          <updated-at type="datetime">2009-05-21T05:00:18Z</updated-at>
        </note>
      </notes>
      <collection>
        <created-at type="datetime">2009-08-07T04:15:43Z</created-at>
        <description>From &quot;their website:&quot;:http://www.ckan.net/

bq. CKAN is the Comprehensive Knowledge Archive Network, a registry of open knowledge packages and projects (and a few closed ones)...Those familiar with freshmeat, CPAN or PyPI can think of CKAN as providing an analogous service for open knowledge...CKAN is developed and maintained by the Open Knowledge Foundation. Both the CKAN code and data are open: free for anyone to use and reuse. To find out more check out the the CKAN project at &quot;knowledgeforge.net&quot;:http://knowledgeforge.net

CKAN is a peer in the global data commons and Infochimps is proud to be able to mirror their collection of over 300 datasets.</description>
        <id type="integer">1</id>
        <title>The Comprehensive Knowledge Archive Network (CKAN) Collection</title>
      </collection>
      <packages type="array"/>
    </dataset>
    <dataset>
      <cached-score type="decimal">44.7</cached-score>
      <cached-slug>who-global-price-reporting-mechanism</cached-slug>
      <created-at type="datetime">2009-05-21T05:00:18Z</created-at>
      <id type="integer">11477</id>
      <license-id type="integer" nil="true"></license-id>
      <main-link></main-link>
      <owner-id type="integer">2</owner-id>
      <price-in-cents type="integer" nil="true"></price-in-cents>
      <protected type="boolean" nil="true"></protected>
      <subtitle nil="true"></subtitle>
      <title>WHO Global Price Reporting Mechanism</title>
      <updated-at type="datetime">2010-03-11T08:46:09Z</updated-at>
      <tag-list>aids,amds,antiretroviral,development,international,license-not-specified,medicines,pharamceuticals,pharmaceuticals,prices,who</tag-list>
      <categories type="array"/>
      <sources type="array">
        <source>
          <cached-slug>wwwwhoint</cached-slug>
          <created-at type="datetime">2009-05-21T05:00:18Z</created-at>
          <description>Source for dataset &quot;WHO Global Price Reporting Mechanism&quot; as listed by CKAN.</description>
          <id type="integer">12728</id>
          <main-link>http://www.who.int/hiv/amds/price/hdd/index.aspx</main-link>
          <title>www.who.int</title>
          <updated-at type="datetime">2010-03-11T08:50:44Z</updated-at>
        </source>
      </sources>
      <notes type="array">
        <note>
          <body>Global Price Reporting Mechanism (World Health Organization - AIDS Medicines and Diagnostics Service (AMDS)) contains prices of shipments of pharmaceuticals in an international development context.

For each listed transaction the drug, price, strength, dosage form, destination country, shipment method, manufacturing company, manufacturing country, the date of order, consignee and grant number are given, if appropriate.

Data is available for a comprehensive set of countries and drugs. You can search with wildcards to get all the data, and there is an Excel output option.

This includes data from The Global Fund's price reporting mechanism, it is transferred over to the WHO dataset on a regular basis.</body>
          <created-at type="datetime">2009-05-21T05:00:18Z</created-at>
          <id type="integer">41710</id>
          <title>Description</title>
          <updated-at type="datetime">2009-05-21T05:00:18Z</updated-at>
        </note>
      </notes>
      <collection>
        <created-at type="datetime">2009-08-07T04:15:43Z</created-at>
        <description>From &quot;their website:&quot;:http://www.ckan.net/

bq. CKAN is the Comprehensive Knowledge Archive Network, a registry of open knowledge packages and projects (and a few closed ones)...Those familiar with freshmeat, CPAN or PyPI can think of CKAN as providing an analogous service for open knowledge...CKAN is developed and maintained by the Open Knowledge Foundation. Both the CKAN code and data are open: free for anyone to use and reuse. To find out more check out the the CKAN project at &quot;knowledgeforge.net&quot;:http://knowledgeforge.net

CKAN is a peer in the global data commons and Infochimps is proud to be able to mirror their collection of over 300 datasets.</description>
        <id type="integer">1</id>
        <title>The Comprehensive Knowledge Archive Network (CKAN) Collection</title>
      </collection>
      <packages type="array"/>
    </dataset>
    <dataset>
      <cached-score type="decimal">34.3</cached-score>
      <cached-slug>journal-info</cached-slug>
      <created-at type="datetime">2009-05-21T05:00:54Z</created-at>
      <id type="integer">11680</id>
      <license-id type="integer" nil="true"></license-id>
      <main-link>http://jinfo.lub.lu.se/</main-link>
      <owner-id type="integer">2</owner-id>
      <price-in-cents type="integer" nil="true"></price-in-cents>
      <protected type="boolean" nil="true"></protected>
      <subtitle nil="true"></subtitle>
      <title>Journal Info</title>
      <updated-at type="datetime">2010-03-11T08:46:26Z</updated-at>
      <tag-list>access-www,bibliographic,journals,open_access,prices</tag-list>
      <categories type="array"/>
      <sources type="array">
        <source>
          <cached-slug>journal-info</cached-slug>
          <created-at type="datetime">2009-05-21T05:00:54Z</created-at>
          <description>The purpose is to provide an aid for the researcher in the selection of journal for publication. The publication market has continuously grown more and more complex. It is important to weigh in facts like scope and quality, but more recently also information about reader availability and library cost. The Lund University Libraries have made an attempt to merge all there items into one tool, giving the researcher the power to make informed choices.

The service currently covers about 18,000 journals. It is discussed to add additional journals later this year.

Note: Journal Info is no longer maintained by Lund University Libraries, Head Office and the service has been closed.</description>
          <id type="integer">12912</id>
          <main-link>http://jinfo.lub.lu.se/</main-link>
          <title>Journal Info</title>
          <updated-at type="datetime">2010-03-11T08:50:48Z</updated-at>
        </source>
      </sources>
      <notes type="array">
        <note>
          <body>Service run by University of Lund in Sweden with info about &gt; 18k journals:

  * Basic metadata such as title, first published, ISSN plus
  * Whether open access
  * Price per citation etc</body>
          <created-at type="datetime">2009-05-21T05:00:54Z</created-at>
          <id type="integer">41913</id>
          <title>Description</title>
          <updated-at type="datetime">2009-05-21T05:00:54Z</updated-at>
        </note>
      </notes>
      <collection>
        <created-at type="datetime">2009-08-07T04:15:43Z</created-at>
        <description>From &quot;their website:&quot;:http://www.ckan.net/

bq. CKAN is the Comprehensive Knowledge Archive Network, a registry of open knowledge packages and projects (and a few closed ones)...Those familiar with freshmeat, CPAN or PyPI can think of CKAN as providing an analogous service for open knowledge...CKAN is developed and maintained by the Open Knowledge Foundation. Both the CKAN code and data are open: free for anyone to use and reuse. To find out more check out the the CKAN project at &quot;knowledgeforge.net&quot;:http://knowledgeforge.net

CKAN is a peer in the global data commons and Infochimps is proud to be able to mirror their collection of over 300 datasets.</description>
        <id type="integer">1</id>
        <title>The Comprehensive Knowledge Archive Network (CKAN) Collection</title>
      </collection>
      <packages type="array"/>
    </dataset>
    <dataset>
      <cached-score type="decimal">112.1</cached-score>
      <cached-slug>measuring-worth-a-collection-of-calculators-to-help-answer-quest</cached-slug>
      <created-at type="datetime">2009-10-29T13:09:45Z</created-at>
      <id type="integer">11893</id>
      <license-id type="integer" nil="true"></license-id>
      <main-link>http://measuringworth.com/</main-link>
      <owner-id type="integer">5</owner-id>
      <price-in-cents type="integer" nil="true"></price-in-cents>
      <protected type="boolean">false</protected>
      <subtitle>Price of the British pound in U.S. dollars</subtitle>
      <title>Measuring Worth: A collection of calculators to help answer questions of Comparative Relative Value </title>
      <updated-at type="datetime">2010-03-11T08:46:46Z</updated-at>
      <tag-list>constant,currency,dollar,dollars,exchange,exchange-rate,inflation,interest,money,pounds,price,prices,rate,rates,trade,wealth</tag-list>
      <categories type="array">
        <category>
          <datasets-count type="integer">15</datasets-count>
          <id type="integer">59</id>
          <parent-id type="integer">1</parent-id>
          <title>Economics</title>
        </category>
      </categories>
      <sources type="array">
        <source>
          <cached-slug>measuringworthcom</cached-slug>
          <created-at type="datetime">2009-10-29T13:08:09Z</created-at>
          <description>MeasuringWorth

The mission of this site is to make available to the public the highest quality and most reliable historical data on important economic aggregates, with particular emphasis on nominal measures.

The data have been created using the highest standards of the fields of economics and history and are rigorously refereed by the most distinguished researchers in the fields.  Beginning with the United States and United Kingdom and continuing with Japan and China, we will continue to add series from other countries under the same high standard.

The emphasis on nominal measures distinguishes this site.  This is because to comprehend a past transaction or asset, one must begin with the contemporary value of the item.  To make this valuation meaningful, it must be measured against the value of the appropriate economic indicator in that year.  To understand the valuation from another year's perspective, one must carry that measure forward against the changing value of the indicator.
Founders of MeasuringWorth

Lawrence H. Officer
Director of Research 	Samuel H. Williamson
President

Over the last five years the two of us have carried out research on alternative ways to compare the relative worth of things. During that time we developed several &quot;calculators&quot; on the web site EH.Net. In the summer of 2006 we started this site dedicated exclusively to exploring the question of how to measure worth. We continue to add to it and hope that our essay Measures of Worth and the User Guide are of help.

Our own money has financed all the calculators and data sets on this site. If you would like to support our work, please make a contribution so we can continue this valuable endeavor. If you are interested in becoming our sponsor, please contact one of us.


Board of Advisors

Jeremy Atack, Vanderbilt University
Stephen Broadberry, University of Warwick
Greg Clark, University of California, Davis
Lee Craig, North Carolina State University
Price Fishback, University of Arizona
C. Knick Harley, University of Oxford
Angus Maddison, University of Groningen
Deirdre McCloskey, University of Illinois
Joel Mokyr, Northwestern University
Larry Neal, University of Illinois
Richard Sutch, University of California, Riverside
Richard Sylla, New York University
Robert Whaples, Wake Forest University
Jeffrey Williamson, Harvard University
Gavin Wright, Stanford University

Our Staff

Yuliya Yurova: System Operator and Web Master</description>
          <id type="integer">13430</id>
          <main-link>http://www.measuringworth.com/</main-link>
          <title>MeasuringWorth.com</title>
          <updated-at type="datetime">2010-03-11T08:50:57Z</updated-at>
        </source>
      </sources>
      <notes type="array">
        <note>
          <body>Have you ever wondered what the price of gold was in 1907? Or what the GDP was in 1932? Presented here are many useful historic data sets that we developed in order to answer such questions. Some of these are currently hosted on EH.Net.

    * The Annual Value Consumer Price Index for the United States, 1774 - 2008
    * The Annual Value of the Consumer Bundle for the United States, 1900 - 2007
    * The Annual Real and Nominal GDP for the United States, 1790 - 2008
    * The Annual Wages in the United States, Unskilled Labor and Manufaturing, 1774 - present
    * The Annual Real and Nominal GDP for the United Kingdom, 1300 - 2008
    * The Annual Price Index, Real and Nominal Earnings for the United Kingdom, 1264 - 2008
    * The Annual Nominal GDP and Price Index for the China 1952 - 2007
    * The Annual Real and Nominal GDP, Price Indexes and Wage for Japan 1879 - 2007
    * The Price of Gold, 1257 - 2007
    * Exchange Rates Between the United States Dollar and Forty-one Currencies
    * Dollar-Pound Exchange Rate From 1791
    * Interest Rate Series for the United Kingdom and the United States, 1729 - 2008
</body>
          <created-at type="datetime">2009-10-29T13:09:45Z</created-at>
          <id type="integer">58808</id>
          <title>Description</title>
          <updated-at type="datetime">2009-10-29T13:09:45Z</updated-at>
        </note>
      </notes>
      <packages type="array"/>
    </dataset>
    <dataset>
      <cached-score type="decimal">112.1</cached-score>
      <cached-slug>measuring-worth-dollar-pound-exchange-rate-from-1791</cached-slug>
      <created-at type="datetime">2009-10-29T13:10:31Z</created-at>
      <id type="integer">11894</id>
      <license-id type="integer" nil="true"></license-id>
      <main-link>http://measuringworth.com/</main-link>
      <owner-id type="integer">5</owner-id>
      <price-in-cents type="integer" nil="true"></price-in-cents>
      <protected type="boolean">false</protected>
      <subtitle>Price of the British pound in U.S. dollars</subtitle>
      <title>Measuring Worth: Dollar-Pound Exchange Rate From 1791</title>
      <updated-at type="datetime">2010-03-11T08:46:47Z</updated-at>
      <tag-list>constant,currency,dollar,dollars,exchange,exchange-rate,inflation,money,pounds,price,prices,rate,rates,trade,wealth</tag-list>
      <categories type="array">
        <category>
          <datasets-count type="integer">15</datasets-count>
          <id type="integer">59</id>
          <parent-id type="integer">1</parent-id>
          <title>Economics</title>
        </category>
      </categories>
      <sources type="array"/>
      <notes type="array">
        <note>
          <body>Dollar-Pound Exchange Rate From 1791

An exchange rate is the price of one currency in terms of another currency. The exchange rate presented here is the price of the British pound in U.S. dollars, that is, the number of U.S. dollars per British pound. This is the traditional way in which the relative price of the two currencies is compared.

The exchange rate between the United States dollar and British pound is one of the longest available and most-important exchange rates in history. The exchange-rate series presented here is distinguished by the high-quality and reliability of the underlying data. For information on this exchange-rate series, please consult the Information on Dollar-Pound Exchange Rate.

You may retrieve the exchange rate (number of dollars per pound) for any year or group of years beginning in 1791.

Please read our Note on Data Revisions.
Copyright Notice

Copyright &#169; 2009 MeasuringWorth. All rights reserved. This work may be copied for non-profit educational uses if proper credit is given. For other permission, please contact admin@measuringworth.org.</body>
          <created-at type="datetime">2009-10-29T13:10:31Z</created-at>
          <id type="integer">58809</id>
          <title>Description</title>
          <updated-at type="datetime">2009-10-29T13:15:28Z</updated-at>
        </note>
      </notes>
      <packages type="array"/>
    </dataset>
    <dataset>
      <cached-score type="decimal" nil="true"></cached-score>
      <cached-slug>refiner-gasoline-prices-all-grades-areas-and-formulations</cached-slug>
      <created-at type="datetime">2009-12-16T06:56:32Z</created-at>
      <id type="integer">11916</id>
      <license-id type="integer">11</license-id>
      <main-link>http://data.gov/details/1133</main-link>
      <owner-id type="integer">2</owner-id>
      <price-in-cents type="integer" nil="true"></price-in-cents>
      <protected type="boolean" nil="true"></protected>
      <subtitle></subtitle>
      <title>Refiner Gasoline Prices All Grades, Areas and Formulations</title>
      <updated-at type="datetime">2010-03-11T08:46:48Z</updated-at>
      <tag-list>conventional,gasoline,grades,midgrade,premium,prices,reformulated,regular,retail,weekly</tag-list>
      <categories type="array">
        <category>
          <datasets-count type="integer">0</datasets-count>
          <id type="integer">2</id>
          <parent-id type="integer">1</parent-id>
          <title>Science</title>
        </category>
        <category>
          <datasets-count type="integer">15</datasets-count>
          <id type="integer">59</id>
          <parent-id type="integer">1</parent-id>
          <title>Economics</title>
        </category>
      </categories>
      <sources type="array">
        <source>
          <cached-slug>energy-information-administration</cached-slug>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
          <description>Please add a description to this source</description>
          <id type="integer">3718</id>
          <main-link></main-link>
          <title>Energy Information Administration</title>
          <updated-at type="datetime">2010-03-11T08:50:42Z</updated-at>
        </source>
        <source>
          <cached-slug>datagov</cached-slug>
          <created-at type="datetime">2009-12-16T06:56:32Z</created-at>
          <description>
The purpose of Data.gov is to increase public access to high value, machine readable datasets generated by the Executive Branch of the Federal Government.</description>
          <id type="integer">13439</id>
          <main-link>http://data.gov</main-link>
          <title>Data.gov</title>
          <updated-at type="datetime">2010-03-11T08:50:57Z</updated-at>
        </source>
      </sources>
      <notes type="array">
        <note>
          <body> Weekly retail gasoline prices by grade and by formulation, by PADD and for selected states and cities. 

Additional facts from &quot;data.gov&quot;:http://data.gov

h3. Dataset Summary

* Date Released: 1990
* Date Updated: Updated each Monday week except on government holidays, when the data are released on Tuesday.
* Time Period: Weekly data; back to 1990 for some series
* Data.gov Data Category Type: Raw Data Catalog
* Frequency: Weekly
* Specialized Data Category Designation: Statistical

h3. Contributing Agency Information

* Citation: &quot;http://tonto.eia.doe.gov/oog/ftparea/wogirs/xls/pswrgvwall.xls&quot;:http://tonto.eia.doe.gov/oog/ftparea/wogirs/xls/pswrgvwall.xls
* Agency Program Page: &quot;http://www.eia.doe.gov/oil_gas/petroleum/info_glance/petroleum.html&quot;:http://www.eia.doe.gov/oil_gas/petroleum/info_glance/petroleum.html
* Agency Data Series Page: &quot;http://tonto.eia.doe.gov/oog/info/gdu/gasdiesel.asp&quot;:http://tonto.eia.doe.gov/oog/info/gdu/gasdiesel.asp
</body>
          <created-at type="datetime">2009-12-16T06:56:32Z</created-at>
          <id type="integer">59012</id>
          <title>Description</title>
          <updated-at type="datetime">2010-01-31T02:28:00Z</updated-at>
        </note>
      </notes>
      <collection>
        <created-at type="datetime">2009-12-16T06:56:32Z</created-at>
        <description>The purpose of Data.gov is to increase public access to high value, machine readable datasets generated by the Executive Branch of the Federal Government.</description>
        <id type="integer">8</id>
        <title>Data.gov</title>
      </collection>
      <license>
        <description>This dataset was prepared by the government and is therefore in the public domain.  There are no restrictions upon its use.</description>
        <main-link nil="true"></main-link>
        <title>Public Domain (Government Work)</title>
      </license>
      <packages type="array">
        <package>
          <bucket nil="true"></bucket>
          <created-at type="datetime">2010-03-11T08:38:37Z</created-at>
          <fmt>xls</fmt>
          <id type="integer">14972</id>
          <kind>http</kind>
          <num-files type="integer" nil="true"></num-files>
          <num-records type="integer" nil="true"></num-records>
          <old-payload-id type="integer">15400</old-payload-id>
          <owner-id type="integer">2</owner-id>
          <path>http://data.gov/download/1133/xls</path>
          <pkg-fmt>zip</pkg-fmt>
          <pkg-size type="integer">1876951</pkg-size>
          <updated-at type="datetime">2010-03-11T08:38:37Z</updated-at>
          <upload-id nil="true"></upload-id>
        </package>
      </packages>
    </dataset>
    <dataset>
      <cached-score type="decimal" nil="true"></cached-score>
      <cached-slug>weekly-retail-on-highway-diesel-prices</cached-slug>
      <created-at type="datetime">2009-12-16T06:57:05Z</created-at>
      <id type="integer">12082</id>
      <license-id type="integer">11</license-id>
      <main-link>http://data.gov/details/1136</main-link>
      <owner-id type="integer">2</owner-id>
      <price-in-cents type="integer" nil="true"></price-in-cents>
      <protected type="boolean" nil="true"></protected>
      <subtitle nil="true"></subtitle>
      <title>Weekly Retail On-Highway Diesel Prices</title>
      <updated-at type="datetime">2010-03-11T08:47:22Z</updated-at>
      <tag-list>diesel,fuel,on-highway,prices,regional,retail,weekly</tag-list>
      <categories type="array">
        <category>
          <datasets-count type="integer">0</datasets-count>
          <id type="integer">2</id>
          <parent-id type="integer">1</parent-id>
          <title>Science</title>
        </category>
        <category>
          <datasets-count type="integer">15</datasets-count>
          <id type="integer">59</id>
          <parent-id type="integer">1</parent-id>
          <title>Economics</title>
        </category>
      </categories>
      <sources type="array">
        <source>
          <cached-slug>energy-information-administration</cached-slug>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
          <description>Please add a description to this source</description>
          <id type="integer">3718</id>
          <main-link></main-link>
          <title>Energy Information Administration</title>
          <updated-at type="datetime">2010-03-11T08:50:42Z</updated-at>
        </source>
        <source>
          <cached-slug>datagov</cached-slug>
          <created-at type="datetime">2009-12-16T06:56:32Z</created-at>
          <description>
The purpose of Data.gov is to increase public access to high value, machine readable datasets generated by the Executive Branch of the Federal Government.</description>
          <id type="integer">13439</id>
          <main-link>http://data.gov</main-link>
          <title>Data.gov</title>
          <updated-at type="datetime">2010-03-11T08:50:57Z</updated-at>
        </source>
      </sources>
      <notes type="array">
        <note>
          <body> Retail cash price of self-serve, motor vehicle No. 2 diesel fuel sold for on-highway use. 

Additional facts from &quot;data.gov&quot;:http://data.gov

h3. Dataset Summary

* Date Released: March 21, 1994
* Date Updated: Updated each Monday week except on government holidays, when the data are released on Tuesday.
* Time Period: Weekly data; back to March 1994
* Data.gov Data Category Type: Raw Data Catalog
* Frequency: Weekly
* Specialized Data Category Designation: Statistical

h3. Contributing Agency Information

* Citation: &quot;http://tonto.eia.doe.gov/oog/ftparea/wogirs/xls/psw18vwall.xls&quot;:http://tonto.eia.doe.gov/oog/ftparea/wogirs/xls/psw18vwall.xls
* Agency Program Page: &quot;http://www.eia.doe.gov/oil_gas/petroleum/info_glance/petroleum.html&quot;:http://www.eia.doe.gov/oil_gas/petroleum/info_glance/petroleum.html
* Agency Data Series Page: &quot;http://tonto.eia.doe.gov/oog/info/wohdp/diesel.asp&quot;:http://tonto.eia.doe.gov/oog/info/wohdp/diesel.asp
</body>
          <created-at type="datetime">2009-12-16T06:57:05Z</created-at>
          <id type="integer">59334</id>
          <title>Description</title>
          <updated-at type="datetime">2009-12-16T06:57:05Z</updated-at>
        </note>
      </notes>
      <collection>
        <created-at type="datetime">2009-12-16T06:56:32Z</created-at>
        <description>The purpose of Data.gov is to increase public access to high value, machine readable datasets generated by the Executive Branch of the Federal Government.</description>
        <id type="integer">8</id>
        <title>Data.gov</title>
      </collection>
      <license>
        <description>This dataset was prepared by the government and is therefore in the public domain.  There are no restrictions upon its use.</description>
        <main-link nil="true"></main-link>
        <title>Public Domain (Government Work)</title>
      </license>
      <packages type="array">
        <package>
          <bucket nil="true"></bucket>
          <created-at type="datetime">2010-03-11T08:38:38Z</created-at>
          <fmt>xls</fmt>
          <id type="integer">15129</id>
          <kind>http</kind>
          <num-files type="integer" nil="true"></num-files>
          <num-records type="integer" nil="true"></num-records>
          <old-payload-id type="integer">15557</old-payload-id>
          <owner-id type="integer">2</owner-id>
          <path>http://data.gov/download/1136/xls</path>
          <pkg-fmt>zip</pkg-fmt>
          <pkg-size type="integer">192937</pkg-size>
          <updated-at type="datetime">2010-03-11T08:38:38Z</updated-at>
          <upload-id nil="true"></upload-id>
        </package>
      </packages>
    </dataset>
    <dataset>
      <cached-score type="decimal" nil="true"></cached-score>
      <cached-slug>monthly-electric-utility-sales-and-revenue-data</cached-slug>
      <created-at type="datetime">2009-12-16T06:57:25Z</created-at>
      <id type="integer">12185</id>
      <license-id type="integer">11</license-id>
      <main-link>http://data.gov/details/1138</main-link>
      <owner-id type="integer">2</owner-id>
      <price-in-cents type="integer" nil="true"></price-in-cents>
      <protected type="boolean" nil="true"></protected>
      <subtitle nil="true"></subtitle>
      <title>Monthly Electric Utility Sales and Revenue Data</title>
      <updated-at type="datetime">2010-03-11T08:47:43Z</updated-at>
      <tag-list>cents,commercial,cost,electric,electricity,enduse,industrial,national,prices,residential,retail,revenue,sales,sector,state,transportation,utility</tag-list>
      <categories type="array">
        <category>
          <datasets-count type="integer">0</datasets-count>
          <id type="integer">2</id>
          <parent-id type="integer">1</parent-id>
          <title>Science</title>
        </category>
        <category>
          <datasets-count type="integer">15</datasets-count>
          <id type="integer">59</id>
          <parent-id type="integer">1</parent-id>
          <title>Economics</title>
        </category>
      </categories>
      <sources type="array">
        <source>
          <cached-slug>energy-information-administration</cached-slug>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
          <description>Please add a description to this source</description>
          <id type="integer">3718</id>
          <main-link></main-link>
          <title>Energy Information Administration</title>
          <updated-at type="datetime">2010-03-11T08:50:42Z</updated-at>
        </source>
        <source>
          <cached-slug>datagov</cached-slug>
          <created-at type="datetime">2009-12-16T06:56:32Z</created-at>
          <description>
The purpose of Data.gov is to increase public access to high value, machine readable datasets generated by the Executive Branch of the Federal Government.</description>
          <id type="integer">13439</id>
          <main-link>http://data.gov</main-link>
          <title>Data.gov</title>
          <updated-at type="datetime">2010-03-11T08:50:57Z</updated-at>
        </source>
      </sources>
      <notes type="array">
        <note>
          <body> Utility level retail sales of electricity and associated revenue by end-use sector, State, and reporting month. 

Additional facts from &quot;data.gov&quot;:http://data.gov

h3. Dataset Summary

* Date Released: 1990
* Date Updated: 4/24/09
* Time Period: 2008
* Data.gov Data Category Type: Raw Data Catalog
* Frequency: Monthly
* Specialized Data Category Designation: Statistical

h3. Contributing Agency Information

* Citation: &quot;http://www.eia.doe.gov/cneaf/electricity/page/eia826.html&quot;:http://www.eia.doe.gov/cneaf/electricity/page/eia826.html
* Agency Program Page: &quot;http://www.eia.doe.gov/fuelelectric.html&quot;:http://www.eia.doe.gov/fuelelectric.html
* Agency Data Series Page: &quot;http://www.eia.doe.gov/cneaf/electricity/page/eia826.html&quot;:http://www.eia.doe.gov/cneaf/electricity/page/eia826.html
</body>
          <created-at type="datetime">2009-12-16T06:57:25Z</created-at>
          <id type="integer">59537</id>
          <title>Description</title>
          <updated-at type="datetime">2009-12-16T06:57:25Z</updated-at>
        </note>
      </notes>
      <collection>
        <created-at type="datetime">2009-12-16T06:56:32Z</created-at>
        <description>The purpose of Data.gov is to increase public access to high value, machine readable datasets generated by the Executive Branch of the Federal Government.</description>
        <id type="integer">8</id>
        <title>Data.gov</title>
      </collection>
      <license>
        <description>This dataset was prepared by the government and is therefore in the public domain.  There are no restrictions upon its use.</description>
        <main-link nil="true"></main-link>
        <title>Public Domain (Government Work)</title>
      </license>
      <packages type="array">
        <package>
          <bucket nil="true"></bucket>
          <created-at type="datetime">2010-03-11T08:38:39Z</created-at>
          <fmt>xls</fmt>
          <id type="integer">15229</id>
          <kind>http</kind>
          <num-files type="integer" nil="true"></num-files>
          <num-records type="integer" nil="true"></num-records>
          <old-payload-id type="integer">15657</old-payload-id>
          <owner-id type="integer">2</owner-id>
          <path>http://data.gov/download/1138/xls</path>
          <pkg-fmt>zip</pkg-fmt>
          <pkg-size type="integer">1436549</pkg-size>
          <updated-at type="datetime">2010-03-11T08:38:39Z</updated-at>
          <upload-id nil="true"></upload-id>
        </package>
      </packages>
    </dataset>
    <dataset>
      <cached-score type="decimal" nil="true"></cached-score>
      <cached-slug>refiner-petroleum-product-prices-by-sales-type</cached-slug>
      <created-at type="datetime">2009-12-16T06:57:43Z</created-at>
      <id type="integer">12278</id>
      <license-id type="integer">11</license-id>
      <main-link>http://data.gov/details/472</main-link>
      <owner-id type="integer">2</owner-id>
      <price-in-cents type="integer" nil="true"></price-in-cents>
      <protected type="boolean" nil="true"></protected>
      <subtitle nil="true"></subtitle>
      <title>Refiner Petroleum Product Prices by Sales Type</title>
      <updated-at type="datetime">2010-03-11T08:48:04Z</updated-at>
      <tag-list>aviation,energy,fuel,gasoline,kerosene,motor,petroleum,prices,product,propone</tag-list>
      <categories type="array">
        <category>
          <datasets-count type="integer">0</datasets-count>
          <id type="integer">2</id>
          <parent-id type="integer">1</parent-id>
          <title>Science</title>
        </category>
        <category>
          <datasets-count type="integer">15</datasets-count>
          <id type="integer">59</id>
          <parent-id type="integer">1</parent-id>
          <title>Economics</title>
        </category>
      </categories>
      <sources type="array">
        <source>
          <cached-slug>energy-information-administration</cached-slug>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
          <description>Please add a description to this source</description>
          <id type="integer">3718</id>
          <main-link></main-link>
          <title>Energy Information Administration</title>
          <updated-at type="datetime">2010-03-11T08:50:42Z</updated-at>
        </source>
        <source>
          <cached-slug>datagov</cached-slug>
          <created-at type="datetime">2009-12-16T06:56:32Z</created-at>
          <description>
The purpose of Data.gov is to increase public access to high value, machine readable datasets generated by the Executive Branch of the Federal Government.</description>
          <id type="integer">13439</id>
          <main-link>http://data.gov</main-link>
          <title>Data.gov</title>
          <updated-at type="datetime">2010-03-11T08:50:57Z</updated-at>
        </source>
      </sources>
      <notes type="array">
        <note>
          <body> Petroleum Prices by Sales Type for end users and resale by month 

Additional facts from &quot;data.gov&quot;:http://data.gov

h3. Dataset Summary

* Date Released: Depends on petroleum product refined; some types as early as Jul/1975
* Date Updated: 4/1/2009; updated monthly by product type
* Time Period: Monthly Data updates
* Data.gov Data Category Type: Raw Data Catalog
* Frequency: Monthly
* Specialized Data Category Designation: Statistical

h3. Contributing Agency Information

* Citation: &quot;http://tonto.eia.doe.gov/dnav/pet/pet_pri_refoth_dcu_nus_m.htm&quot;:http://tonto.eia.doe.gov/dnav/pet/pet_pri_refoth_dcu_nus_m.htm
* Agency Program Page: &quot;http://www.eia.doe.gov/oil_gas/petroleum/info_glance/petroleum.html&quot;:http://www.eia.doe.gov/oil_gas/petroleum/info_glance/petroleum.html
* Agency Data Series Page: &quot;http://tonto.eia.doe.gov/dnav/pet/pet_pri_refoth_dcu_nus_m.htm&quot;:http://tonto.eia.doe.gov/dnav/pet/pet_pri_refoth_dcu_nus_m.htm

h3. Miscellaneous Facts

* Additional Metadata: &quot;http://tonto.eia.doe.gov/dnav/pet/TblDefs/pet_pri_refoth_tbldef2.asp&quot;:http://tonto.eia.doe.gov/dnav/pet/TblDefs/pet_pri_refoth_tbldef2.asp
</body>
          <created-at type="datetime">2009-12-16T06:57:43Z</created-at>
          <id type="integer">59722</id>
          <title>Description</title>
          <updated-at type="datetime">2009-12-16T06:57:43Z</updated-at>
        </note>
      </notes>
      <collection>
        <created-at type="datetime">2009-12-16T06:56:32Z</created-at>
        <description>The purpose of Data.gov is to increase public access to high value, machine readable datasets generated by the Executive Branch of the Federal Government.</description>
        <id type="integer">8</id>
        <title>Data.gov</title>
      </collection>
      <license>
        <description>This dataset was prepared by the government and is therefore in the public domain.  There are no restrictions upon its use.</description>
        <main-link nil="true"></main-link>
        <title>Public Domain (Government Work)</title>
      </license>
      <packages type="array">
        <package>
          <bucket nil="true"></bucket>
          <created-at type="datetime">2010-03-11T08:38:40Z</created-at>
          <fmt>xls</fmt>
          <id type="integer">15321</id>
          <kind>http</kind>
          <num-files type="integer" nil="true"></num-files>
          <num-records type="integer" nil="true"></num-records>
          <old-payload-id type="integer">15749</old-payload-id>
          <owner-id type="integer">2</owner-id>
          <path>http://data.gov/download/472/xls</path>
          <pkg-fmt>zip</pkg-fmt>
          <pkg-size type="integer">144703</pkg-size>
          <updated-at type="datetime">2010-03-11T08:38:40Z</updated-at>
          <upload-id nil="true"></upload-id>
        </package>
      </packages>
    </dataset>
    <dataset>
      <cached-score type="decimal" nil="true"></cached-score>
      <cached-slug>short-term-energy-outlook</cached-slug>
      <created-at type="datetime">2009-12-16T06:57:47Z</created-at>
      <id type="integer">12295</id>
      <license-id type="integer">11</license-id>
      <main-link>http://data.gov/details/861</main-link>
      <owner-id type="integer">2</owner-id>
      <price-in-cents type="integer" nil="true"></price-in-cents>
      <protected type="boolean" nil="true"></protected>
      <subtitle>Real Petroleum Prices</subtitle>
      <title>Short-Term Energy Outlook</title>
      <updated-at type="datetime">2010-03-11T08:48:08Z</updated-at>
      <tag-list>crude,department,diesel,energy,forecasts,fuel,gasoline,heating,price,prices,projections,real</tag-list>
      <categories type="array">
        <category>
          <datasets-count type="integer">0</datasets-count>
          <id type="integer">2</id>
          <parent-id type="integer">1</parent-id>
          <title>Science</title>
        </category>
        <category>
          <datasets-count type="integer">15</datasets-count>
          <id type="integer">59</id>
          <parent-id type="integer">1</parent-id>
          <title>Economics</title>
        </category>
      </categories>
      <sources type="array">
        <source>
          <cached-slug>energy-information-administration</cached-slug>
          <created-at type="datetime">2008-04-04T12:00:00Z</created-at>
          <description>Please add a description to this source</description>
          <id type="integer">3718</id>
          <main-link></main-link>
          <title>Energy Information Administration</title>
          <updated-at type="datetime">2010-03-11T08:50:42Z</updated-at>
        </source>
        <source>
          <cached-slug>datagov</cached-slug>
          <created-at type="datetime">2009-12-16T06:56:32Z</created-at>
          <description>
The purpose of Data.gov is to increase public access to high value, machine readable datasets generated by the Executive Branch of the Federal Government.</description>
          <id type="integer">13439</id>
          <main-link>http://data.gov</main-link>
          <title>Data.gov</title>
          <updated-at type="datetime">2010-03-11T08:50:57Z</updated-at>
        </source>
      </sources>
      <notes type="array">
        <note>
          <body> Provides Real gasoline pump prices on an annual basis back to 1919 and monthly prices for gasoline, heating oil, diesel fuel, and imported refiners acquistion cost of crude oil from January 1980 through the end of the forecast. Monthly Real Petroleum Prices are computed by dividing the nominal price in a given month by the ratio of the Consumer Price Index (CPI) in that month to the CPI in the current STEO month, the &quot;base&quot; period. Example: The current base period for the August 2009 data is August 2009. The base period for the annual data is the previous year, in this case is 2008. So the real annual prices are in 2008 dollars. The base period for the annual data will be updated in January 2010.

Additional facts from &quot;data.gov&quot;:http://data.gov

h3. Dataset Summary

* Date Released: 06/01/04
* Date Updated: 8/11/2009; Updated monthly
* Time Period: Monthly Data updates
* Data.gov Data Category Type: Raw Data Catalog
* Frequency: Monthly
* Specialized Data Category Designation: Statistical

h3. Contributing Agency Information

* Citation: &quot;http://www.eia.doe.gov/emeu/steo/pub/fsheets/real_prices.html&quot;:http://www.eia.doe.gov/emeu/steo/pub/fsheets/real_prices.html
* Agency Program Page: &quot;http://www.eia.doe.gov/oiaf/forecasting.html&quot;:http://www.eia.doe.gov/oiaf/forecasting.html
* Agency Data Series Page: &quot;http://www.eia.doe.gov/emeu/steo/pub/fsheets/real_prices.html&quot;:http://www.eia.doe.gov/emeu/steo/pub/fsheets/real_prices.html
</body>
          <created-at type="datetime">2009-12-16T06:57:47Z</created-at>
          <id type="integer">59756</id>
          <title>Description</title>
          <updated-at type="datetime">2009-12-16T06:57:47Z</updated-at>
        </note>
      </notes>
      <collection>
        <created-at type="datetime">2009-12-16T06:56:32Z</created-at>
        <description>The purpose of Data.gov is to increase public access to high value, machine readable datasets generated by the Executive Branch of the Federal Government.</description>
        <id type="integer">8</id>
        <title>Data.gov</title>
      </collection>
      <license>
        <description>This dataset was prepared by the government and is therefore in the public domain.  There are no restrictions upon its use.</description>
        <main-link nil="true"></main-link>
        <title>Public Domain (Government Work)</title>
      </license>
      <packages type="array">
        <package>
          <bucket nil="true"></bucket>
          <created-at type="datetime">2010-03-11T08:38:40Z</created-at>
          <fmt>xls</fmt>
          <id type="integer">15338</id>
          <kind>http</kind>
          <num-files type="integer" nil="true"></num-files>
          <num-records type="integer" nil="true"></num-records>
          <old-payload-id type="integer">15766</old-payload-id>
          <owner-id type="integer">2</owner-id>
          <path>http://data.gov/download/861/xls</path>
          <pkg-fmt>zip</pkg-fmt>
          <pkg-size type="integer">347078</pkg-size>
          <updated-at type="datetime">2010-03-11T08:38:40Z</updated-at>
          <upload-id nil="true"></upload-id>
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      </packages>
    </dataset>
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</tag>
