Assessing DemocracyAssessing DemocracyTeam Team

Presentation by: Lisa Pearson, Presentation by: Lisa Pearson, Cameron McLaughlin, Ivy Cameron McLaughlin, Ivy

Mueller, and Alex MatthewsMueller, and Alex Matthews

Introduction to ProjectIntroduction to Project

Four indicators: Four indicators: Life ExpectancyLife Expectancy Literacy RateLiteracy Rate Internet AccessInternet Access % of Population in Poverty% of Population in Poverty Our countries were chosen at Our countries were chosen at

randomrandom

Statement of IntentStatement of Intent

We are assessing democracy with We are assessing democracy with these four social indicators to these four social indicators to determine whether or not democracy determine whether or not democracy produces the greatest amount of produces the greatest amount of good for the greatest amount of good for the greatest amount of people.people.

ChallengesChallenges

We obtained the exact number for We obtained the exact number for internet users, we had to obtain internet users, we had to obtain percentage of population.percentage of population.

One of our countries was North One of our countries was North Korea, self explainable. Korea, self explainable.

Some countries didn’t publish Some countries didn’t publish poverty rates example: Australiapoverty rates example: Australia

Life ExpectancyLife Expectancy

Can show access to healthcareCan show access to healthcare Amount of stress level in lifeAmount of stress level in life Living conditions of citizens in Living conditions of citizens in

countrycountry

Life Expectancy and Country Life Expectancy and Country RankingRanking

Chart shows life Chart shows life expectancy expectancy compared to compared to Country RankingCountry Ranking

0

10

20

30

40

50

60

70

80

90

0 5 10 15

Country Ranking

Life E

xpec

tancy

Correlations

1 -.297*

.036

50 50

-.297* 1

.036

50 50

Pearson Correlation

Sig. (2-tailed)

N

Pearson Correlation

Sig. (2-tailed)

N

Life Expectancy

Country

LifeExpectancy Country

Correlation is significant at the 0.05 level (2-tailed).*.

Life Expectancy and GDPLife Expectancy and GDP

0

10

20

30

40

50

60

70

80

90

0 10000 20000 30000 40000 50000 60000

GDP

Life

Exp

ecta

ncy

Series1

Correlations

1 .499**

.000

50 50

.499** 1

.000

50 50

Pearson Correlation

Sig. (2-tailed)

N

Pearson Correlation

Sig. (2-tailed)

N

Life Expectancy

GDP

LifeExpectancy GDP

Correlation is significant at the 0.01 level (2-tailed).**.

Life Expectancy according to GDP

Literacy RateLiteracy Rate

Shows education of countryShows education of country When people are educated they can When people are educated they can

get better jobs, making them happierget better jobs, making them happier The more people can read, the more The more people can read, the more

they can participate in the they can participate in the government and be more informedgovernment and be more informed

The more they are aware of what’s The more they are aware of what’s going on in the country, and try to going on in the country, and try to make it a better placemake it a better place

Literacy Rate and Country RankingLiteracy Rate and Country Ranking

0

20

40

60

80

100

120

0 2 4 6 8 10 12 14 16

Country Ranking

Lite

racy

Rat

e

Correlations

1 -.509**

.000

50 50

-.509** 1

.000

50 50

Pearson Correlation

Sig. (2-tailed)

N

Pearson Correlation

Sig. (2-tailed)

N

Country

Literacy Rate

Country Literacy Rate

Correlation is significant at the 0.01 level (2-tailed).**.

Literacy Rate and Country Ranking

Literacy Rate and GDPLiteracy Rate and GDP

0

20

40

60

80

100

120

0 10000 20000 30000 40000 50000 60000

GDP

Lite

racy

Rat

e (%

)

Series1

Correlations

1 .725**

.000

50 50

.725** 1

.000

50 50

Pearson Correlation

Sig. (2-tailed)

N

Pearson Correlation

Sig. (2-tailed)

N

Literacy Rate

GDP

Literacy Rate GDP

Correlation is significant at the 0.01 level (2-tailed).**.

Low literacy rate in less fortunate countries, higher in more wealthy

Percent of Internet UsersPercent of Internet Users

Shows citizens access to informationShows citizens access to information Shows country level of technological Shows country level of technological

advancement and modernization advancement and modernization

Internet Users and Country Internet Users and Country RankingRanking

0.00 2.00 4.00 6.00 8.00 10.00 12.00 14.00

Country

0.00

20.00

40.00

60.00

80.00

100.00

Inte

rne

t A

cc

es

s

Correlations

1 -.586**

.000

50 47

-.586** 1

.000

47 47

Pearson Correlation

Sig. (2-tailed)

N

Pearson Correlation

Sig. (2-tailed)

N

Country

Internet Access

CountryInternetAccess

Correlation is significant at the 0.01 level (2-tailed).**.

Internet users and country ranking

Internet users and GDPInternet users and GDP

0.00 10000.00 20000.00 30000.00 40000.00 50000.00 60000.00

GDP

0.00

20.00

40.00

60.00

80.00

100.00

Inte

rnet

Acc

ess

Correlations

1 .830**

.000

47 47

.830** 1

.000

47 50

Pearson Correlation

Sig. (2-tailed)

N

Pearson Correlation

Sig. (2-tailed)

N

Internet Access

GDP

InternetAccess GDP

Correlation is significant at the 0.01 level (2-tailed).**.

Internet Users and GDP

Percentage of population below Percentage of population below poverty linepoverty line

Shows the well being of a country Shows the well being of a country People in poverty are generally not People in poverty are generally not

happyhappy Shows the amount of people that can Shows the amount of people that can

contribute to the economycontribute to the economy

Poverty and Country RankingPoverty and Country Ranking

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Country Ranking

% p

erce

nt b

elow

pov

erty

line

Correlations

1 .259

.127

50 36

.259 1

.127

36 36

Pearson Correlation

Sig. (2-tailed)

N

Pearson Correlation

Sig. (2-tailed)

N

Country

% of pop. in Poverty

Country% of pop.in Poverty

Poverty and Country ranking. Not a strong correlation

Poverty and GDPPoverty and GDP

0

10

20

30

40

50

60

70

80

0 10000 20000 30000 40000 50000 60000

GDP

% p

erce

nt

bel

ow

po

vert

y li

ne

Correlations

1 -.645**

.000

36 36

-.645** 1

.000

36 50

Pearson Correlation

Sig. (2-tailed)

N

Pearson Correlation

Sig. (2-tailed)

N

% of pop. in Poverty

GDP

% of pop.in Poverty GDP

Correlation is significant at the 0.01 level (2-tailed).**.

Poverty and GDP

ConclusionConclusion

According to our data, we have According to our data, we have drawn these conclusionsdrawn these conclusions

Life Expectancy: Life Expectancy: The more money a country has and the The more money a country has and the

freer the country is, the longer people freer the country is, the longer people livelive

Literacy rate:Literacy rate: The more money a country has The more money a country has

and the freer the country is, the more and the freer the country is, the more educated people are educated people are

Conclusion Cont.Conclusion Cont.

Number of Internet Users:Number of Internet Users: The more money a country has and the The more money a country has and the

freer the country is, the higher the freer the country is, the higher the percent is of internet userspercent is of internet users

Percentage under Poverty Level:Percentage under Poverty Level: Between country ranking and poverty, Between country ranking and poverty,

there was not a strong correlation, there was not a strong correlation, however, obviously the more money the however, obviously the more money the country has the lower the percent is for country has the lower the percent is for poverty. poverty.

Does Democracy Matter?Does Democracy Matter?

Overall, we conclude, that Overall, we conclude, that democracy does matter, and so does democracy does matter, and so does money.money.