Economic vitality index in baltomore and kelsey


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 clearinghouse of what makes other cities much economically vital than the rest.  This report is based on the economic data of Baltimore and Kelsey.

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A comparative analysis


Rapidly Developing

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



Ho: Baltimore is economically vital than Kelsey

H1: Baltimore is not economically vital than Kelsey




Descriptive statistics for Baltimore MD


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
for Median 473.000



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
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

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
for Median 3795.000





Figure 1: Education level



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 2:




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  Population-Statistics


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