Economic Vitality Index, A case study of Baltimore MD 21215 and Kelsey

Economic Vitality Index, A case study of Baltimore MD 21215 and Kelsey

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Economic vitality index

Introduction

The economic vitality index is a comparative report on the economic development or vitality of cities in the US and a ranking. This is a clearing house of what makes other cities much economically vital than the rest. This report is based on the economic data of Baltimore and Kelsey.

A comparative analysis

Rapidly Developing

From the data it is healthy to hypothesize that Baltimore is more economic vital than Kelsey.

Analysis

Ho: Baltimore is economically vital than Kelsey

H1: Baltimore is not economically vital than Kelsey

Descriptive statistics for Baltimore MD

Anderson-Darling A-Squared 0.325

p 0.455

95% Critical Value 0.787

99% Critical Value 1.092

Mean 2560.600

Mode #N/A

Standard Deviation 1717.167

Variance 2948663.156

Skewedness 0.004

Kurtosis -1.421

N 10.000

Minimum 352.000

1st Quartile 961.250

Median 2937.000

3rd Quartile 3594.000

Maximum 5199.000

Confidence Interval 1228.387

for Mean (Mu) 1332.213

0.95 3788.987

For Stdev (sigma) 1181.128

3134.878

for Median 473.000

3624.000

Chi squared test for Baltimore MD and Kelsey

Chi-Sq 72 Baltimore Expected Kelsey Expected

p 0 0 0 0.05 5191.126 5127.874 Variables are Related 4242.849 4191.151 2233.105 2205.895 2693.409 2660.591 4698.122 4640.878 3263.885 3224.115 1887.499 1864.501 594.6226 587.3774 447.7277 442.2723 353.6546 349.3454 Anova test for Baltimore MD and Kelsey household income

Anova: Single Factor 0.05 SUMMARY Groups Count Sum Average Variance Baltimore 10 25606 2560.6 2948663 Kelsey 10 25294 2529.4 4028804 ANOVA Accept Null Hypothesis because p > 0.05 (Means are the same) Source of Variation SS df MS F P-Value F crit Between Groups 4867.2 1 4867.2 0.001395 0.971 4.413873 Within Groups 62797207 18 3488734 Total 62802074 19 House hold income

t-Test: Paired Two Sample for Means 0.05 Baltimore Kelsey Mean 2560.6 2529.4 Variance 2948663 4028804 Observations 10 10 Pearson Correlation 0.808797 Hypothesized Mean Difference 0 df 9 t Stat 0.083 P(T<=t) one-tail 0.468 Accept Null Hypothesis because p > 0.05 (Means are the same)

T Critical one-tail 1.833 P(T<=t) two-tail 0.935 Accept Null Hypothesis because p > 0.05 (Means are the same)

T Critical Two-tail 2.262 Descriptive statistics of the Baltimore MD Average Age of Adults in Household

Anderson-Darling A-Squared 0.215

p 0.798

95% Critical Value 0.787

99% Critical Value 1.092

Mean 5788.182

Mode #N/A

Standard Deviation 2202.962

Variance 4853042.364

Skewedness -0.020

Kurtosis 0.252

N 11.000

Minimum 1661.000

1st Quartile 4807.000

Median 5483.000

3rd Quartile 7057.000

Maximum 9513.000

Confidence Interval 1479.970

for Mean (Mu) 4308.212

0.95 7268.152

For Stdev (sigma) 1539.247

3866.052

for Median 3795.000

7631.000

Figure SEQ Figure * ARABIC 1: Education level http://www.clrsearch.com/Baltimore_Demographics/MD/21215/Education-Level-and-Enrollment-Statistics)

2010 Population Growth and Population Statistics Baltimore, MD 21215

Total Population 63870

Square Miles 6.96

Population Density 9,179.40

Population Change Since 1990 -13.87%

Population Change Since 2000 -3.17%

Forecasted Population Change by 2014 -1.51%

Population Male 28,541 44.69%

Population Female 35,329 55.31%

Median Age 41.40

Figure SEQ Figure * ARABIC 2:http://www.clrsearch.com/Baltimore_Demographics/MD/21215/Population-Growth-and-Population-Statistics

Conclusion

Development

Baltimore is more developed than Kelsey based on the economic data and the household income, the average for the household income for Baltimore is higher than Kelsey, however, Kelsey has a higher population growth and high average for adult’s population. The population growth between the two cities is also skewed towards Baltimore. Baltimore has the highest population growth probably due to migration

Existing-Emerging Growth

In this category, Kelsey has a higher index, as the level of development is higher than Baltimore. Baltimore has reached its peak while Kelsey is experiencing new growth in terms of business and investment. Baltimore can be defined as lagging urban while the Kelsey is an emerging rural.

References

HYPERLINK “http://www.clrsearch.com/Baltimore_Demographics/MD/21215/Population-by-Age” http://www.clrsearch.com/Baltimore_Demographics/MD/21215/Population-by-Age

HYPERLINK “http://www.clrsearch.com/Baltimore_Demographics/MD/21215/Population-Growth-and-” http://www.clrsearch.com/Baltimore_Demographics/MD/21215/Population-Growth-and-Population-Statistics