Columbia County vs. New York
Comparative Trends Analysis:
Gross Domestic Product Growth and Change, 2001-2019
Introduction
Columbia County vs. New York
Columbia County:
2019 GDP = $2,567,457K
2019 Percent of State = 0.1%
New York:
2019 GDP = $1,772,260,703K
2019 Percent of U.S. = 8.3%
Nationally, GDP (Gross Domestic Product) is widely regarded as the foremost blue-chip barometer for tracking and calibrating the economic performance of the economy nationwide. Like its closely followed national counterpart, the GDP of Columbia County is the most comprehensive measure of output of all goods and services produced by labor and property located within Columbia County. It is a market valuation of the goods and services-both private and public-produced within a regional economy.
Unlike the widely and frequently reported employment and job numbers that measure labor as one of the units of input into production, GDP is a valuation of the output. Also, while County Personal Income is representative of the "purchasing power" of those that reside within a county, think of Gross Domestic Product as representative of the "producing power" of that county.
For a more detailed and technical explanation of Gross Domestic Product (GDP) by County compiled by the Regional Product Branch of Bureau of Economic Analysis please refer to the A Primer on Local Area Gross Domestic Product Methodology article found on the BEA website.

BEA: Definition

GDP by county is the county counterpart of the Nation's gross domestic product (GDP), the Bureau's featured and most comprehensive measure of U.S. economic activity. GDP by county is derived as the sum of the GDP originating in all the industries in a county.

The statistics of real GDP by county are prepared in chained (2012) dollars. Real GDP by county is an inflation-adjusted measure of each county's gross product that is based on national prices for the goods and services produced within that county. The statistics of real GDP by county and of quantity indexes with a base year of 2012 were derived by applying national chain-type price indexes to the current-dollar GDP-by-county values for the 64 detailed NAICS-based industries for 1997 forward.

The chain-type index formula that is used in the national accounts is then used to calculate the values of total real GDP by county and of real GDP by county at more aggregated industry levels. Real GDP by county may reflect a substantial volume of output that is sold to other counties and regions. To the extent that a county's output is produced and sold in national markets at relatively uniform prices (or sold locally at national prices), real GDP by state captures the differences across states that reflect the relative differences in the mix of goods and services that the counties produce. However, real GDP by county does not capture geographic differences in the prices of goods and services that are produced and sold locally.

United States. Bureau of Economic Analysis, Regional Product Division.
BEA News Release (GDP by State). 2013. Web.
https://www.bea.gov/data/gdp/gdp-state.

BEA: Relation of GDP by county to U.S. Gross Domestic Product (GDP)

An industry's GDP by county, or its value added, in practice, is calculated as the sum of incomes earned by labor and capital and the costs incurred in the production of goods and services. That is, it includes the wages and salaries that workers earn, the income earned by individual or joint entrepreneurs as well as by corporations, and business taxes such as sales, property, and Federal excise taxes that count as a business expense.

GDP is calculated as the sum of what consumers, businesses, and government spend on final goods and services, plus investment and net foreign trade. In theory, incomes earned should equal what is spent, but due to different data sources, income earned, usually referred to as gross domestic income (GDI), does not always equal what is spent (GDP). The difference is referred to as the "statistical discrepancy."

Starting with the 2004 comprehensive revision, BEA's annual industry accounts and its GDP-by-county accounts allocate the statistical discrepancy across all private-sector industries. Therefore, the GDP-by-county statistics are now conceptually more similar to the GDP statistics in the national accounts than they had been in the past.

U.S. real GDP by county for the advance year, 2012, may differ from the Annual Industry Accounts' GDP by industry and, hence NIPA (National Income and Product Account) GDP, because of different sources and vintages of data used to estimate GDP by state and NIPA GDP. For the revised years of 2009-2011, U.S. GDP by county is nearly identical to GDP by industry except for small differences resulting from the GDP-by-county accounts' exclusion of overseas Federal military and civilian activity (because it cannot be attributed to a particular state). The GDP-by-industry statistics are identical to those from the 2012 annual revision of the NIPAs, released in July 2012. However, because of revisions since July 2012, GDP in the NIPAs may differ from U.S. GDP by county.

United States. Bureau of Economic Analysis, Regional Product Division.
BEA News Release (GDP by State). 2013. Web.
https://www.bea.gov/data/gdp/gdp-state.

Columbia County Gross Domestic Product, 2002-2019
Current vs. Chained 2012 Dollars (Millions)
Columbia County Gross Domestic Product, 2002-2019
Current vs. Chained 2012 Dollars (Millions)
Figure 1.
Figure 1 depicts Columbia County's annual gross domestic product over 2002-2019 in current and constant (chained 2012) dollars. Constant dollar measurements remove the effects of inflation. They allow for comparison of changes in the real total good and services output of Columbia County over time.
When measured in current dollars, Columbia County's GDP increased 76.2%, from $1,457M in 2002 to $2,567M in 2019. When measured in constant 2012 dollars to adjust for inflation, it advanced 17.1%, from $1,869M in 2002 to $2,190M in 2019.
Real Gross Domestic Product, 2001-2019 (Millions)
Real Gross Domestic Product, 2001-2019 (Millions)
Figure 2.
Figure 2 traces Columbia County's and New York's annual real gross domestic product for the period 2001-2019 to illustrate real gross domestic product patterns over time. During this 19-year period, Columbia County's real gross domestic product rose from $1,958M in 2001 to $2,190M in 2019, for a net gain of $232M, or 11.9%. In comparison, New York's real GDP increased from $1,107,932M in 2001 to $1,490,679M in 2019, for a net advance of $382,746M, or 34.5%.
Real Gross Domestic Product Indices (2001=100): 2001-2019
Real Gross Domestic Product Indices (2001=100): 2001-2019
Figure 3.
Figure 3 portrays Columbia County's real gross domestic product growth in a broader context by offering direct comparisons across time with New York, the United States. The growth indices shown here express each region's real gross domestic product in 2001 as a base figure of 100, and the real gross domestic products in later years as a percentage of the 2001 base figure. This method allows for more direct comparison of differences in real gross domestic product growth between regions that may differ vastly in size.
Columbia County's overall real GDP growth was 11.9% over 2001-2019 trailed New York's increase of 34.5%, and fell below the United States' increase of 44.0%.
Gross Domestic Product as a Percent of the New York Total: 2001-2019
Gross Domestic Product as a Percent of the New York Total: 2001-2019
Figure 4.
Another interesting and insightful way of contrasting the gross domestic product growth of Columbia County is to trace its individual percentage contributions to New York's statewide gross domestic product over time, as shown in Figure 4. A rising share means a region's gross domestic product grew faster, or declined less, than New York's gross domestic product, while a declining share shows it grew more slowly.
In 2001, Columbia County's GDP comprised 0.17% of New York's GDP, while in 2019 it equated to 0.14% thereby yielding a -0.03% share-shift.
   
 
Gross Domestic Product Share-Shift
2019 vs. 2001
 
Share-
Shift*
 
2019
vs.
2001
-0.03%
=
0.14%
-
0.17%
 
   
Columbia County Real Gross Domestic Product:
Annual Percent Change, 2002-2019
Columbia County Real Gross Domestic Product:
Annual Percent Change, 2002-2019
Figure 5.
Figure 5 displays the short-run pattern of Columbia County's real gross domestic product growth by tracking the year-to-year percent change over 2002-2019. The average annual percent change for the entire 18-year period is also traced on this chart to provide a benchmark for gauging periods of relative high--and relative low--growth against the backdrop of the long-term average.
On average, Columbia County's real GDP grew at an annual rate of 0.68% over 2002-2019. The county posted its highest growth in 2004 (7.43%) and recorded its lowest growth in 2002 (-4.51%). In 2019, Columbia County's real GDP grew by 4.19%
Columbia County Real Gross Domestic Product:
Annual Percent Change and Decade Averages Over 2002-2019
Columbia County Real Gross Domestic Product:
Annual Percent Change and Decade Averages Over 2002-2019
Figure 6.
Figure 6 again depicts the annual percent change in Columbia County's real gross domestic product since 2002, but this time they are overlayed with average growth rates for 2002-2009, and 2010-2019.
During 2002-2009, Columbia County's annual real GDP growth rate averaged 0.66%. It averaged and 0.70% thus far this decade (2010 to 2019).
Real Gross Domestic Product Growth:
Average Annual Percent Change by Decade
Real Gross Domestic Product Growth:
Average Annual Percent Change by Decade
Figure 7.
Figure 7 compares the decade average growth rates for Columbia County noted in the previous graph with the corresponding decade averages for New York and the nation. As the chart reveals, Columbia County's average annual real gross domestic product growth amounted to less than New York's average during the 2000s (0.66% vs. 1.24%), and trailed New York's average over the 10 year period of the last decade, 2010-2019 (0.70% vs. 2.02%).
Finally, relative to nationwide real gross domestic product growth trends, Columbia County trailed the nation during the 2000s (0.66% vs. 1.75%), and recorded underneath the nation over 2010-2019 (0.70% vs. 2.30%).
   
 
Real* Gross Domestic Product Growth:
Average Annual Percent Change
 
 
 
0.68
0.66
0.70
4.19
 
1.68
1.24
2.02
1.61
 
2.05
1.75
2.30
2.16
 
   

Interactive TableTip: To augment your analysis click on the column headers in the following table to rank and/or sort the data.

   
 
Columbia County:
Gross Domestic Product, 2001-2019
 
2001
 
1,495,853
0.875
1,957,587
100.0
N
0.17
2002
 
1,456,982
0.836
1,869,276
95.5
-4.51
0.16
2003
 
1,504,376
0.847
1,893,535
96.7
1.30
0.17
2004
 
1,670,812
0.910
2,034,243
103.9
7.43
0.18
2005
 
1,673,251
0.885
1,980,182
101.2
-2.66
0.17
2006
 
1,806,261
0.924
2,065,190
105.5
4.29
0.17
2007
 
1,792,209
0.883
1,975,529
100.9
-4.34
0.16
2008
 
1,881,584
0.909
2,032,836
103.8
2.90
0.17
2009
 
1,939,784
0.917
2,050,135
104.7
0.85
0.17
2010
 
2,071,950
0.968
2,164,620
110.6
5.58
0.17
2011
 
2,086,295
0.958
2,142,030
109.4
-1.04
0.17
2012
 
2,236,233
1.000
2,236,233
114.2
4.40
0.17
2013
 
2,291,789
1.000
2,237,350
114.3
0.05
0.17
2014
 
2,389,653
1.021
2,284,306
116.7
2.10
0.17
2015
 
2,412,315
1.004
2,244,727
114.7
-1.73
0.16
2016
 
2,430,907
0.990
2,213,572
113.1
-1.39
0.16
2017
 
2,380,470
0.952
2,130,011
108.8
-3.77
0.15
2018
 
2,400,468
0.940
2,101,566
107.4
-1.34
0.14
2019
 
2,567,457
0.979
2,189,577
111.9
4.19
0.14
Source: Calculations by the New York Regional Economic Analysis Project (NY-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2020
REAP_PI_CA1400_2000_PSN
 
   

Interactive TableTip: To augment your analysis click on the column headers in the following table to rank and/or sort the data.

   
 
New York:
Gross Domestic Product, 2001-2019
 
2001
 
873,780,667
0.837
1,107,932,269
100.0
N
8.26
2002
 
884,104,287
0.830
1,098,776,760
99.2
-0.83
8.08
2003
 
902,544,284
0.832
1,101,603,562
99.4
0.26
7.88
2004
 
952,281,813
0.853
1,129,017,536
101.9
2.49
7.80
2005
 
1,012,180,820
0.882
1,167,640,123
105.4
3.42
7.76
2006
 
1,068,634,742
0.904
1,196,694,776
108.0
2.49
7.74
2007
 
1,109,748,591
0.909
1,203,502,777
108.6
0.57
7.68
2008
 
1,101,636,767
0.890
1,177,915,073
106.3
-2.13
7.49
2009
 
1,150,993,903
0.923
1,221,255,952
110.2
3.68
7.97
2010
 
1,212,485,108
0.958
1,267,971,962
114.4
3.83
8.09
2011
 
1,237,277,636
0.960
1,270,516,714
114.7
0.20
7.96
2012
 
1,323,400,764
1.000
1,323,400,764
119.4
4.16
8.17
2013
 
1,361,962,924
1.002
1,325,490,023
119.6
0.16
8.11
2014
 
1,425,724,138
1.018
1,347,559,806
121.6
1.67
8.13
2015
 
1,485,620,838
1.037
1,372,232,399
123.9
1.83
8.15
2016
 
1,545,987,726
1.056
1,397,723,674
126.2
1.86
8.25
2017
 
1,608,890,211
1.077
1,424,905,479
128.6
1.94
8.23
2018
 
1,705,010,198
1.109
1,467,076,823
132.4
2.96
8.27
2019
 
1,772,260,703
1.126
1,490,678,506
134.5
1.61
8.27
Source: Calculations by the New York Regional Economic Analysis Project (NY-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2020
REAP_PI_CA1400_2000_PSN
 
   

Interactive TableTip: To augment your analysis click on the column headers in the following table to rank and/or sort the data.

   
 
United States:
Gross Domestic Product, 2001-2019
 
2001
 
10,581,822,000
0.819
13,262,079,000
100.0
N
2002
 
10,936,418,000
0.833
13,493,064,000
101.7
1.74
2003
 
11,458,246,000
0.857
13,879,129,000
104.7
2.86
2004
 
12,213,730,000
0.889
14,406,382,000
108.6
3.80
2005
 
13,036,637,000
0.921
14,912,509,000
112.4
3.51
2006
 
13,814,609,000
0.947
15,338,257,000
115.7
2.85
2007
 
14,451,860,000
0.965
15,626,029,000
117.8
1.88
2008
 
14,712,845,000
0.963
15,604,687,000
117.7
-0.14
2009
 
14,448,932,000
0.939
15,208,834,000
114.7
-2.54
2010
 
14,992,052,000
0.963
15,598,753,000
117.6
2.56
2011
 
15,542,582,000
0.978
15,840,664,000
119.4
1.55
2012
 
16,197,007,000
1.000
16,197,007,000
122.1
2.25
2013
 
16,784,851,000
1.018
16,495,369,000
124.4
1.84
2014
 
17,527,258,000
1.044
16,912,038,000
127.5
2.53
2015
 
18,238,301,000
1.076
17,432,170,000
131.4
3.08
2016
 
18,745,075,000
1.095
17,730,509,000
133.7
1.71
2017
 
19,542,980,000
1.120
18,144,105,000
136.8
2.33
2018
 
20,611,861,000
1.154
18,687,786,000
140.9
3.00
2019
 
21,433,226,000
1.179
19,091,662,000
144.0
2.16
Source: Calculations by the New York Regional Economic Analysis Project (NY-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2020
REAP_PI_CA1400_2000_PN
 
   
Copyright © 2021. Pacific Northwest Regional Economic Analysis Project (PNREAP). All Rights Reserved.

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