CENSUS DATA ON HOUSEHOLDS

Analysis of Census Data on Households

Analysis of Census Data on Households

Introduction

The study is related to the UK census data 2011 on households, which particularly focuses on various demographic factors that are crucial to analyze as it will determine in the pattern of the society. These variables that are included in the study entail population density, average household size, households, percentage decadal change in usual residents and people of different age group that include 0 - 14, 15 - 64, 65 - over and 90 and over.

Descriptive Statistics

No. of persons of all ages

No. of Households with altleast 1 resident

Inner London

Outer London

Inner London

Outer London

Mean

230850.0714

260107.3684

97415.5

100124

Standard Error

21225.59923

13853.36414

8282.27094

5207.359916

Median

250183

254557

101604.5

97199

Mode

#N/A

#N/A

#N/A

#N/A

Standard Deviation

79418.92017

60385.41433

30989.42024

22698.35564

Sample Variance

6307364880

3646398264

960344167

515215348.7

Kurtosis

4.277278439

-0.916465139

6.48864813

-0.534157379

Skewness

-1.805808514

0.133410014

-2.190132342

0.413098502

Range

300609

203318

126108

81371

Minimum

7375

160060

4385

63639

Maximum

307984

363378

130493

145010

Sum

3231901

4942040

1363817

1902356

Key Statistics

Mean Age

Desntiy Rate (No. of persons per hectare)

Decedal Growth

Inner London

34

101.2

12.00%

Outer London

36

39.4

The key descriptive statistics about Inner and Outer London show the most vital information in an understandable table. Study of the chart have given results that there is not much demographic difference between Inner and Outer London interms of no. Of persons of all ages, No. Of households, and decadal growth. The outer London have relative larger averages for the former described measures. When considering mean age of both region there is a mean difference of 4 years, which means that the Outer London has, on average, 4 years older populations than the inner London. The density rate is also significantly different in both the regions. The inner London is very densely populated as, on average, 101.2 persons live in each hectare of Inner London. While this figure is considerably low in the outer London as no. of persons per hectare is just 39.4.

Hypotheses

HO1: There is an association of average household size with the number of households.

HO2: There is an association of average household size with the population density.

Analysis

Statistics

Population density

Households

Average household size (persons)

Percentage decadal change in usual residents

0 - 14

15 - 64

65 - over

90 and over

N

Valid

348

348

348

348

348

348

348

348

Missing

0

0

0

0

0

0

0

0

Mean

1572.7759

67143.8046

2.3443

6.7241

17.3009

65.1641

17.5351

.8267

Median

554.0000

53381.0000

2.3000

6.1500

17.2000

64.9500

17.2500

.8000

Mode

98.00 a

34898.00

2.30

5.90

17.10

64.80 a

16.90

.70

Std. Deviation

2309.02153

4.43696E4

.13126

4.50118

1.75295

3.24034

4.01519

.26245

Variance

5331580.434

1.969E9

.017

20.261

3.073

10.500

16.122

.069

Range

13849.00

409747.00

1.40

30.40

16.60

22.20

23.60

1.80

Minimum

25.00

989.00

1.60

- 4.00

8.00

55.80

6.10

.20

Maximum

13874.00

410736.00

3.00

26.40

24.60

78.00

29.70

2.00

a. Multiple modes exist. The smallest value is shown

The above graphical representation shows that people in age group 90 and over has numerous participants. Moreover, it is also found that most of people lie under 0.70 and 0.90.

HO1: There is an association of average household size with the number of households.

HO2: There is an association of average household size with the population density.

The result of the above statistics is showing the mean values of the all the incorporated variables that are included in the analysis of the data that are population density, households, average household size, percentage decadal change in usual residents, ages of people that vary between 0 - 14, 15 - 64, 65 - over and 90 and over. The important values of the above table are means and standard deviation of the variables which are essential to study as these values are presetting the accurateness of the census data. In relation to this, the above table is indicating that the mean of number of household is high with high standard deviation in comparison to other variables. In addition to this, it is also found that household size has minimum ...