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.
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 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 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
http://www.clrsearch.com/Baltimore_Demographics/MD/21215/Population-by-Age
http://www.clrsearch.com/Baltimore_Demographics/MD/21215/Population-Growth-and- Population-Statistics
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