developing a regression model for a topic of your choosing to explain a phenomenon of interest. 12+ paragraphs

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Develop a regression model for a topic of your choosing in an attempt to explain a phenomenon of interest. In doing so, you will be required to locate data on the Internet and do the appropriate analysis. You will also have to explain your topic of interest, the variables chosen, and why the variables were chosen, in addition to presenting and explaining your results. Your paper should include the following:

Introduction - describe the phenomena you are attempting to model and its importance (2 – 3 paragraphs)

Literature Review (find at least two references) - who has done similar work and what were their findings? (2 - 3 paragraphs)

Data - summary statistics of the data (2 - 3 paragraphs)

Methods and Results - what analysis did you perform and what were the expectations for the model? Were your results similar to those in the references you used? (3 - 6 paragraphs)

Conclusions (2 - 3 paragraphs) Your paper must follow current APA standards. Be sure to include tables and to label them properly (review the APA manual and the readings).

Throughout the course there have been many topics related to analyzing data that you should consider including in your write-up such as a graph of the data. In the Appendix, you may want to include graphs used to evaluate normal distribution. A discussion of the results of such analysis should be included in the results section of the paper.

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Running head: 1 Develop a regression model for a topic of your choosing in an attempt to explain a phenomenon of interest. In doing so, you will be required to locate data on the Internet and do the appropriate analysis. You will also have to explain your topic of interest, the variables chosen, and why the variables were chosen, in addition to presenting and explaining your results. Your paper should include the following: • Introduction - describe the phenomena you are attempting to model and its importance (2 – 3 paragraphs) • Literature Review (find at least two references) - who has done similar work and what were their findings? (2 - 3 paragraphs) • Data - summary statistics of the data (2 - 3 paragraphs) • Methods and Results - what analysis did you perform and what were the expectations for the model? Were your results similar to those in the references you used? (3 - 6 paragraphs) • Conclusions (2 - 3 paragraphs) Your paper must follow current APA standards. Be sure to include tables and to label them properly (review the APA manual and the readings). Throughout the course there have been many topics related to analyzing data that you should consider including in your write-up such as a graph of the data. In the Appendix, you may want to include graphs used to evaluate normal distribution. A discussion of the results of such analysis should be included in the results section of the paper. 2 3
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Running head: The Impact of Entrepreneurship to the Growth of U.S Economy

The Impact of Entrepreneurship to the Growth of U.S Economy
Course
Name
Date

Instructor

1

Running head: The Impact of Entrepreneurship to the Growth of U.S Economy

2

The Impact of Entrepreneurship to the Growth of U.S Economy
Introduction
The concept of entrepreneurship is one complex concept, as social scientists are yet to
agree on the definition and the determinants of entrepreneurial behavior for innovation and
business competitiveness and its impact on the economic growth of different economies. In
essence, entrepreneurship may be viewed as the process of wealth creation, identifying and
implementing innovative business ideas to establish a viable business. It is imperative to know
that entrepreneurs are the individuals who create this wealth by being innovative, thoroughly
creative and competitively operating the businesses that they have come up with. Since
‘information is power’, entrepreneurs are keen on acquiring the necessary information about the
market and this puts them on a springboard from where they have the capacity of operating on a
competitive edge.
Entrepreneurship has indeed been seen as a crucial aspect to economic growth in many
countries across the globe and for many years, it has been considered as a vital component of
economic growth and ultimately economic development. This paper analyzes the impact of
entrepreneurship to the economic growth of the United States. Economic growth encompasses
the increase in per capita income, higher purchasing power, an increase in the overall production
or output, an increase in average living standards, a continual rate of innovation and capital
accumulation as well as a greater share of employment. The paper considered the Gross domestic
product (GDP) per capita, the number of new jobs created and the measure of innovative
intensity as the variables for the study. In this case, the dependent variable is the GDP per capita,
which measures the economic output of the US taking into consideration the population of the
country. The independent variables are the number of new jobs creation and the measure of

Running head: The Impact of Entrepreneurship to the Growth of U.S Economy

3

innovative intensity. New jobs creation through entrepreneurial ventures contributes to the
overall level of employment in the country, which determines the level of the country’s GDP per
capita. The measure of innovative intensity considers the rate of entrepreneurial start-ups, which
contributed to the positive growth of the country’s economy.

Literature Review
Different researchers have extensively explored the impact of entrepreneurship in
different economic regions to establish the extent to which it contributes to the growth of
economies around the world. Most of these studies are seen to make the assertion that
entrepreneurship is a key factor in stimulating economic growth, even though there is not much
of the discussion on the possibility of an inverse relationship between entrepreneurship and
economic growth. They have mainly focused on the investigation of this relationship on a
national scope, although a few focused on the local perspective.
In their study to investigate the relationship that exists among the following factors: a
culture of entrepreneurship, the disposition of start-up activity and regional development, Fritsch
& Wyrwich (2017) postulate that a region with pronounced entrepreneurial culture will
consequently experience high start-up activity, which will eventually lead to an augmented state
of economic growth. They exploit regional variation in entrepreneurial culture to ascertain the
causal impact that start-up activity has on the growth of employment. The empirical analysis was
for West Germany from 1976 to 2010. They established that regions that comprised of high selfemployment levels tend to have perpetually high levels of new start-ups across a longer period of
time. Therefore, they assert that a culture of entrepreneurship will stimulate new business

Running head: The Impact of Entrepreneurship to the Growth of U.S Economy

4

formation and consequently lead to a region’s economic growth. According to the outcome of
their empirical analysis, new entrepreneurial start-up firms, through a culture of
entrepreneurship, are essential in enhancing the level of economic growth as they provide
employment opportunities mostly in themselves as well as creating employment in the existing
firms (Fritsch & Wyrwich, 2017).
In another related study, Capello & Lenzi (2016) present a study that proposes a reassessment of the relationship between entrepreneurship and economic growth of a region with
an aim of underscoring the respective conditions under which entrepreneurial factor plays a
crucial role on the growth of a regional. They postulate that the innovative environment that
incubates the formation of new firms, and the behavioral disposition of entrepreneurship
constitute the conditions that authors the relationship between entrepreneurship and the growth
of a region. The authors assert that the innovative context is indeed, a crucial aspect as it
influences the entrepreneurship function of market discovery and execution of the discovery
through appropriate action. The authors found out that the potential of entrepreneurial perception
of opportunities has positive impact on innovation aspects. In this case, where innovation is
fueled by the local knowledge and relevant discoveries, entrepreneurs are stimulated to convert
this set of knowledge into innovation and thus, make a significant impact to the growth of the
region’s economy (Capello & Lenzi, 2016).
Data and Summary Statistics
The study used secondary data obtained from the World Bank national accounts data and
the United States Bureau of Labor Statistics. The table 1.0 below show a 10-year period data for
the US GDP per capita, the number of patents issued, the number of new jobs created by
entrepreneurial start-ups and the innovation intensity, from 2007 to 2017. Innovation Intensity:

Running head: The Impact of Entrepreneurship to the Growth of U.S Economy

5

the variable innovation intensity in the study was measured by dividing the number of issued
patents issued in the respective years by the value of the GDP per capita for each of the years.
Therefore, the results were presented as in the table below. Innovation intensity is measured
using the model:
Innovation Intensity (I) = No. of Patents/ GDP
Year

GDP Per Capita (‘000)

Number of
Patents issued

2007

48061.54

2008

Innovation
Intensity

184,376

New Jobs
created by
Start-ups
3307309

48401.43

182,556

3033421

62.672

2009

47001.56

190,122

2802403

59.623

2010

48375.41

233,127

2515246

51.994

2011

49793.71

244,430

2570850

51.630

2012

51450.96

270,258

2793113

54.287

2013

52782.09

290,083

2804566

53.134

2014

54696.73

329,612

2885614

52.757

2015

56443.82

322,449

3018287

53.474

2016

57588.54

334,107

3135574

54.448

2017

59531.66

347,642

3419007

57.432

68.814

Table 1.0, Source: World Bank data and US Bureau of Labor Statistics
According to the data, the trend for the GDP per capita rose progressively across the 10year period, with a slight drop in 2009 due to the ramifications of the Great Depression. There was
also a progressive increase in the number of patents issued during the period, although there were
slight fluctuations representing a slight decrease. It is evident from the table that number new jobs

Running head: The Impact of Entrepreneurship to the Growth of U.S Economy

6

created was initially high then followed by a slight drop in the same, but the trend began to rise
again. Nevertheless, there was still a significant number of new jobs created through
entrepreneurial start-ups. The number of patents issued and the number of new jobs created within
the period signifies that the level of entrepreneurship activities significantly rose as well. Figure
1.1 below represents the trends for the three variables over the 10 years.

Trend of New Jobs creation, Innovation intensity and the US's GDP per
Capita
70
60
50
40

GDP per Capita
(millions)

30

New Jobs created by
start-ups ('00,000)

20

Innovation Intensity

10
0
2007

2008

2009

2010

2011

2012

2013

Year
Figure 1.1
Regression model
The regression model used for the study is;
Y = a + β1N + β2 I+ ε
Where:
Y= Dependent variable (Economic Growth)
a = constant term
β= variable co-efficient (1, 2)

2014

2015

2016

Running head: The Impact of Entrepreneurship to the Growth of U.S Economy

7

N= New jobs creation (new jobs created through entrepreneurial business start-ups/ as a
measure of employment growth)
I = Innovation intensity (measures the rate of new business creations and new start-ups)
ε - Error term

Methods and Results
The data collected was analyzed multiple regression analysis. The software tool applied
for the analysis of the data was Microsoft Excel application for statistical analysis and
presentation. A multiple regression analysis was conducted in testing the relationship between
the independent variables (new jobs creation and innovation intensity) and the dependent
variable (income growth). The data analysis results were presented using graphs and tables for
establishing how the independent variable factors affect the income growth of the United States.
Multiple Regression Analysis
Standard
Variable

Coefficients

Error

t-Statistics

P-value

Constant term

49.25

0.7201

68.3230

2.3443

New jobs Creation

1.7793

0.0274

64.8771

3.5442

Innovation Intensity

-0.8739

0.0144

-60.6039

6.1068

Table 1.1

Running head: The Impact of Entrepreneurship to the Growth of U.S Economy

8

Multiple regression analysis was conducted as to determine the relationship between the
country’s GDP per capita growth and the two variables; new jobs creation and innovation
intensity. According to the Excel generated table above, the model equation used in the study;
Y = a + β1N + β2 I+ ε becomes:
Y= 49.25+ 1.7793N - 0.8739 I.
According to the regression analysis, it was established that taking all factors into account (New
jobs creation and Innovation intensity) constant at zero, the country’s GDP per capita would be
49.25. The findings presented further show that taking innovation intensity to be constant at
zero, a unit increase in the new jobs creation will lead to a 1.7793 increase in the country’s GDP
per capita. Further, the analysis show that taking the variable new jobs creation to be constant at
zero, a unit increase in innovation intensity will lead to a 0.8739 decrease in the country’s GDP
per capita. This outcome may be different due to various factors critical in the innovation
context.
This infers that new jobs creation contributes significantly to the GDP per capita for the
country, followed by innovation intensity. The results show that at 95% level of confidence, the
two independent variables were statistically significant in showing that there exists a positive
relationship between them and the dependent variable. The regression results above indicate that
there is indeed a positive relationship between new jobs creation with the U. S’s GDP per capita.
The findings of the study are similar to those of the references used.
Conclusion
The paper analyzes the impact of entrepreneurship to the economic growth of the United
States. The empirical literature reviewed for the study showed that entrepreneurship is a key

Running head: The Impact of Entrepreneurship to the Growth of U.S Economy

9

factor in the economic growth of a country. The study employed the quantitative type of
approach employed in the research and an exploratory design was used to explore the impact of
entrepreneurship on the economic growth. From the research findings, it is evident that there
exists a positive relationship between entrepreneurship and economic growth. The findings show
that new jobs creation, through entrepreneurship is a factor that contributes strongly to the
growth of the economy. New jobs creation is a variable that is seen to increase the levels of
employment in any given economy. Innovation intensity, which was employed to measures the
rate of entrepreneurial business start-ups, is also a key factor that leads to the growth of an
economy.
Therefore, there is a positive relationship entrepreneurship between entrepreneurship and
economic growth. New jobs creation, which is a process of entrepreneurship, increases the rate
of employment. The reduced unemployment rates imply higher levels of per capita income,
which consequently raises the level of GDP per capita. The overall effect therefore, is the growth
in the income level of the country. Innovation intensity, which is also a process of
entrepreneurship, leads to start-up of businesses and new firms, which play a key role in
increasing the economic output and income level of the country. Therefore, entrepreneurship is a
factor that leads to a significant growth in the economy.

Running head: The Impact of Entrepreneurship to the Growth of U.S Economy

10

References
Capello, R., & Lenzi, C. (2016). Innovation modes and entrepreneurial behavioral characteristics
in regional growth. Small Business Economics, 47(4), 875-893.
Fritsch, M., & Wyrwich, M. (2017). The effect of entrepreneurship on economic development—
an empirical analysis using regional entrepreneurship culture. Journal of Economic
Geography, 17(1), 157-189.
U.S. Bureau of Labor Statistics. (2018). Employment, Hours, and Earnings from the Current
Employment Statistics survey (National) Home Page. Retrieved from
https://www.bls.gov/ces/#tables
World Bank Group. (2018). GDP per capita (current US$) | Data. Retrieved from
https://data.worldbank.org/indicator/NY.GDP.PCAP.CD?locations=US


Data Source
Last Updated Date

World Development Indicators
6/28/2018

Country Name
Aruba
Afghanistan
Angola
Albania
Andorra
Arab World
United Arab Emirates
Argentina
Armenia
American Samoa
Antigua and Barbuda
Australia
Austria
Azerbaijan
Burundi
Belgium
Benin
Burkina Faso
Bangladesh
Bulgaria
Bahrain
Bahamas, The
Bosnia and Herzegovina
Belarus
Belize
Bermuda
Bolivia
Brazil
Barbados
Brunei Darussalam
Bhutan
Botswana
Central African Republic
Canada
Central Europe and the Baltics
Switzerland
Channel Islands
Chile
China
Cote d'Ivoire
Cameroon
Congo, Dem. Rep.
Congo, Rep.

Country Code
ABW
AFG
AGO
ALB
AND
ARB
ARE
ARG
ARM
ASM
ATG
AUS
AUT
AZE
BDI
BEL
BEN
BFA
BGD
BGR
BHR
BHS
BIH
BLR
BLZ
BMU
BOL
BRA
BRB
BRN
BTN
BWA
CAF
CAN
CEB
CHE
CHI
CHL
CHN
CIV
CMR
COD
COG

Colombia
Comoros
Cabo Verde
Costa Rica
Caribbean small states
Cuba
Curacao
Cayman Islands
Cyprus
Czech Republic
Germany
Djibouti
Dominica
Denmark
Dominican Republic
Algeria
East Asia & Pacific (excluding high income)
Early-demographic dividend
East Asia & Pacific
Europe & Central Asia (excluding high income)
Europe & Central Asia
Ecuador
Egypt, Arab Rep.
Euro area
Eritrea
Spain
Estonia
Ethiopia
European Union
Fragile and conflict affected situations
Finland
Fiji
France
Faroe Islands
Micronesia, Fed. Sts.
Gabon
United Kingdom
Georgia
Ghana
Gibraltar
Guinea
Gambia, The
Guinea-Bissau
Equatorial Guinea
Greece
Grenada
Greenland

COL
COM
CPV
CRI
CSS
CUB
CUW
CYM
CYP
CZE
DEU
DJI
DMA
DNK
DOM
DZA
EAP
EAR
EAS
ECA
ECS
ECU
EGY
EMU
ERI
ESP
EST
ETH
EUU
FCS
FIN
FJI
FRA
FRO
FSM
GAB
GBR
GEO
GHA
GIB
GIN
GMB
GNB
GNQ
GRC
GRD
GRL

Guatemala
Guam
Guyana
High income
Hong Kong SAR, China
Honduras
Heavily indebted poor countries (HIPC)
Croatia
Haiti
Hungary
IBRD only
IDA & IBRD total
IDA total
IDA blend
Indonesia
IDA only
Isle of Man
India
Not classified
Ireland
Iran, Islamic Rep.
Iraq
Iceland
Israel
Italy
Jamaica
Jordan
Japan
Kazakhstan
Kenya
Kyrgyz Republic
Cambodia
Kiribati
St. Kitts and Nevis
Korea, Rep.
Kuwait
Latin America & Caribbean (excluding high income)
Lao PDR
Lebanon
Liberia
Libya
St. Lucia
Latin America & Caribbean
Least developed countries: UN classification
Low income
Liechtenstein
Sri Lanka

GTM
GUM
GUY
HIC
HKG
HND
HPC
HRV
HTI
HUN
IBD
IBT
IDA
IDB
IDN
IDX
IMN
IND
INX
IRL
IRN
IRQ
ISL
ISR
ITA
JAM
JOR
JPN
KAZ
KEN
KGZ
KHM
KIR
KNA
KOR
KWT
LAC
LAO
LBN
LBR
LBY
LCA
LCN
LDC
LIC
LIE
LKA

Lower middle income
Low & middle income
Lesotho
Late-demographic dividend
Lithuania
Luxembourg
Latvia
Macao SAR, China
St. Martin (French part)
Morocco
Monaco
Moldova
Madagascar
Maldives
Middle East & North Africa
Mexico
Marshall Islands
Middle income
Macedonia, FYR
Mali
Malta
Myanmar
Middle East & North Africa (excluding high income)
Montenegro
Mongolia
Northern Mariana Islands
Mozambique
Mauritania
Mauritius
Malawi
Malaysia
North America
Namibia
New Caledonia
Niger
Nigeria
Nicaragua
Netherlands
Norway
Nepal
Nauru
New Zealand
OECD members
Oman
Other small states
Pakistan
Panama

LMC
LMY
LSO
LTE
LTU
LUX
LVA
MAC
MAF
MAR
MCO
MDA
MDG
MDV
MEA
MEX
MHL
MIC
MKD
MLI
MLT
MMR
MNA
MNE
MNG
MNP
MOZ
MRT
MUS
MWI
MYS
NAC
NAM
NCL
NER
NGA
NIC
NLD
NOR
NPL
NRU
NZL
OED
OMN
OSS
PAK
PAN

Peru
Philippines
Palau
Papua New Guinea
Poland
Pre-demographic dividend
Puerto Rico
Korea, Dem. People’s Rep.
Portugal
Paraguay
West Bank and Gaza
Pacific island small states
Post-demographic dividend
French Polynesia
Qatar
Romania
Russian Federation
Rwanda
South Asia
Saudi Arabia
Sudan
Senegal
Singapore
Solomon Islands
Sierra Leone
El Salvador
San Marino
Somalia
Serbia
Sub-Saharan Africa (excluding high income)
South Sudan
Sub-Saharan Africa
Small states
Sao Tome and Principe
Suriname
Slovak Republic
Slovenia
Sweden
Swaziland
Sint Maarten (Dutch part)
Seychelles
Syrian Arab Republic
Turks and Caicos Islands
Chad
East Asia & Pacific (IDA & IBRD countries)
Europe & Central Asia (IDA & IBRD countries)
Togo

PER
PHL
PLW
PNG
POL
PRE
PRI
PRK
PRT
PRY
PSE
PSS
PST
PYF
QAT
ROU
RUS
RWA
SAS
SAU
SDN
SEN
SGP
SLB
SLE
SLV
SMR
SOM
SRB
SSA
SSD
SSF
SST
STP
SUR
SVK
SVN
SWE
SWZ
SXM
SYC
SYR
TCA
TCD
TEA
TEC
TGO

Thailand
Tajikistan
Turkmenistan
Latin America & the Caribbean (IDA & IBRD countries)
Timor-Leste
Middle East & North Africa (IDA & IBRD countries)
Tonga
South Asia (IDA & IBRD)
Sub-Saharan Africa (IDA & IBRD countries)
Trinidad and Tobago
Tunisia
Turkey
Tuvalu
Tanzania
Uganda
Ukraine
Upper middle income
Uruguay
United States
Uzbekistan
St. Vincent and the Grenadines
Venezuela, RB
British Virgin Islands
Virgin Islands (U.S.)
Vietnam
Vanuatu
World
Samoa
Kosovo
Yemen, Rep.
South Africa
Zambia
Zimbabwe

THA
TJK
TKM
TLA
TLS
TMN
TON
TSA
TSS
TTO
TUN
TUR
TUV
TZA
UGA
UKR
UMC
URY
USA
UZB
VCT
VEN
VGB
VIR
VNM
VUT
WLD
WSM
XKX
YEM
ZAF
ZMB
ZWE

Indicator Name
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)

Indicator Code
1960
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD 59.7773265
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD 1807.34978
NY.GDP.PCAP.CD 935.460427
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD 70.3490786
NY.GDP.PCAP.CD 1273.69166
NY.GDP.PCAP.CD
93.022509
NY.GDP.PCAP.CD 68.4247486
NY.GDP.PCAP.CD 88.6912106
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD 1550.32431
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD 304.917107
NY.GDP.PCAP.CD 1902.40212
NY.GDP.PCAP.CD 152.461846
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD 57.9776819
NY.GDP.PCAP.CD 74.5959443
NY.GDP.PCAP.CD 2294.56881
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD 1787.36035
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD 532.616267
NY.GDP.PCAP.CD 89.5205415
NY.GDP.PCAP.CD 153.471594
NY.GDP.PCAP.CD 119.534187
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD 127.004746

1961

1962

1963

59.8781528 58.4928738

78.782758

1874.30477 1851.42482
1031.815 1087.83424

1963.63908
1167.00053

71.4872777
1350.19767
95.5721547
71.5581801
97.1427302

73.7817649
1438.52323
94.464535
76.5206114
99.5767137

78.9002836
1535.02373
99.8591139
78.3720719
101.260491

1651.47548 1752.97029

1867.11299

316.403606 327.126867
1961.53817 2020.38597
162.695705 174.493386

336.941466
2020.26525
184.275535

61.2422483 64.7070068
80.520802 79.9677958
2231.29382 2255.23004

67.3758706
81.5879157
2354.83912

1971.31632 2131.39165

2294.18285

584.237786
75.8058379
167.355531
124.421692

671.399705
70.9094117
167.995943
129.515519

687.268374
74.3136434
190.407375
131.083487

142.537516 152.451213

153.541996

GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)

NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
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NY.GDP.PCAP.CD
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NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD

245.197466

268.097371 283.917439

268.324398

380.719131
453.634945

354.815218 334.486836
481.835172 499.103466

344.829026
520.634922

1364.51716
204.126025
244.824806
89.7745779
141.494916
147.368458

1503.53701
192.026654
213.485905
78.8434946
139.088345
147.288865

1681.02991
234.034348
171.209809
71.2986032
140.762316
148.639651

1775.37038
258.558968
225.530596
75.278061
154.063352
161.921539

646.740856
222.266863

680.562797 735.365307
209.351791 199.173095

801.480109
209.617604

924.960084

1008.90247 1109.26355

1232.78269

396.392253

450.053289 520.206131

609.487384

876.753903

946.442089 1024.82597

1118.98701

1179.35301
285.542501
1338.29961

1327.42722
1411.7024
287.329144 291.539707
1440.55433 1585.91727

1522.31924
296.772935
1752.9644

283.400465
1380.30624

332.50472 358.560975
1452.54471 1513.65145

299.226646
1592.61448

182.979183

189.713371 195.119979

210.968969

533.686381

34.7414275
597.287321 630.613941

40.6608269
701.620418

GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)

NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
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NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
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NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD

247.841986

248.308208 256.168507

274.789958

297.673299
1370.21285
429.442874
164.644319
91.500956

315.38546
1428.55221
436.754412
169.909755
94.7004487

321.545767
1522.90225
487.821134
179.875973
97.4037102

282.306339
1618.7911
565.72781
185.049265
102.233789

92.9700851
101.725162

97.3781813
100.97965
106.171815 110.767047

104.552381
114.306219

81.2847637

84.4264369 88.9149186

100.048592

685.614712
191.680877
231.025617
1414.98227
1229.17475
804.492623
429.325853

739.276406
196.924679
245.031988
1418.12587
1436.38444
887.336745
453.129465

797.006288
203.436311
254.701334
1562.23073
1094.63585
990.260152
463.959699

852.135302
208.130832
250.787078
1831.70566
1257.81141
1126.01934
485.319298

478.99534

563.58676 633.640315

717.866915

97.6215306

94.8352649 100.604267

104.012736

111.34248 109.459474 109.479045

117.820383

241.558035
158.236636

243.846411 246.077035
93.8162086 106.133999

253.997553
146.29459

170.037838

160.631571 163.917196

167.291564

142.77955 142.838043 141.446979

146.33993

GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)

NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD

133.050046
40.6055353

126.23295 126.618265
41.2012137 47.4502225

135.982691
52.3443123

2242.01582

2222.36637 2311.79885

2441.03856

164.800779

158.924091 181.183703

196.534112

131.993036

133.847582 138.119849

138.407166

341.592753

359.444451 373.927529

404.388377

137.696678

130.269521 130.513459

140.343301

107.915027

121.969678

122.25227

121.576294

45.0331526
234.916893
2942.62887

47.1825468 48.3866533
225.916444 230.247932
2990.76628 3153.88605

49.2795374
279.708408
3281.35124

132.652162
92.9618001

139.341402 148.192163
96.98043 104.388533

158.72121
107.542108

1068.78459
1441.75566
50.5151404

1159.39236 1240.67789
1560.32493 1667.24743
52.0418806 55.2850369

1328.03665
1775.58266
47.0939472

2312.94999 2343.29221 2448.62863
1359.6575 1407.13637 1499.10081

2622.22027
1594.17067

82.5472458
474.125822

93.9886874
583.444528

88.1724193 89.8377121
513.289062 542.361563

GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)

NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD

255.61837 280.153338 308.597874
254.427071 267.147774 156.682154

328.508382
168.016967

114.636032

119.316939 124.688814

128.999043

44.6786893
717.514843

46.2552297 48.2333304
777.215027 854.744805

49.954904
931.751666

360.499299

382.729947 407.852844

432.51173

1381.75286

1439.93075 1536.58357

1634.57918

40.5668808
81.3798161

40.7196619 40.9754947
85.0141566 88.8641316

41.2507751
98.2477912

124.51217 131.656344 139.214551
247.236284 253.844835 253.162267
427.880407 448.959184 471.880513

137.810411
254.581296
510.987189

140.180258

140.749664 145.035842

145.323932

115.582084

119.25829 124.133267

130.124334

115.610759

119.282377 124.159649

130.153587

323.658636

329.993159 337.873129

349.73039

1983.10654
100.454669

2147.22931 2315.84653
120.366033 125.608697

2492.54535
144.768151

288.058159
187.537374

270.279661 287.044788
200.183357 227.788664

308.195264
238.437306

104.472101
90.7502133

109.129606 114.582174
79.7226582 72.0977406

116.777461
76.1126566

76.6384542

79.1201331 81.9947491

87.7919751

GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)
GDP per capita (current US$)

NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD
NY.GDP.PCAP.CD

100.767596

107.497932 113.782502

118.143245

81.3798161
115.610759
631.329859

85.0141566 88.8641316
119.282377 124.159649
675.974402 703.753422

98.2477912
130.153587
759.868843

509.424112

285.012709 309.446903

350.663223

62.3151223

63.0151613 62.0168215

68.9352512

171.279504
489.350147
3007.12345

153.847522 154.260418
601.701131 656.712218
3066.56287 3243.84308

164.375256
584.290747
3374.51517

161.417161 170.435141 174.565283
1072.432
1070.4867 1140.08288

162.869285
1185.48358

744.615385

749.271137 1054.28571

1040.20101

446.474871

458.626489 482.650669

510.672494

433.941194
234.166194
280.994586

444.896268 461.798232
221.728401 213.894229
283.315869 279.440989

498.601747
214.852954
280.566213

1964
82.2084439

1965

1966

101.290471 137.899362

1967

1968

1969

1970

161.322 129.506654

129.798541 157.187422

222.688851

3238.55685
238.909677 256.420887

2127.5669 2277.06668 2339.86194
1269.41258 1374.53214 1486.96861

2575.62008
2719.4298 2986.21889
3299.0373
1569.66718 1677.67353 1825.38613 2058.76908

86.6031946
1701.84628
104.339768
80.4727667
99.5038643

51.6573647
1835.59477
110.132794
81.7251155
105.78917

55.1316867
2086.63601
111.951602
84.3631649
121.662093

1994.54492

2144.83097 2322.94385

351.161126
2199.72701
203.601149

377.594305 406.097967
2282.21655 2630.85047
223.2783...


Anonymous
Goes above and beyond expectations!

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