STAT200 Introduction to
Dataset for Written Assignments
Description of Dataset:
The data is a random sample from the US Department of Labor’s 2016 Consumer Expenditure Surveys (CE) and provides information about the composition of households and their annual expenditures (
https://www.bls.gov/cex/
). It contains information from 30 households, where a survey responder provided the requested information; it is all self-reported information. This dataset contains four socioeconomic variables (whose names start with SE) and four expenditure variables (whose names start with USD).
Description of Variables/Data Dictionary:
The following table is a data dictionary that describes the variables and their locations in this dataset (Note: Dataset is on second page of this document):
Variable Name
Location in Dataset
Variable Description
Coding
UniqueID#
First Column
Unique number used to identify each survey responder
Each responder has a unique number from 1-30
SE-MaritalStatus
Second Column
Marital Status of Head of Household
Not Married/Married
SE-Income
Third Column
Annual Household Income
Amount in US Dollars
SE-AgeHeadHousehold
Fourth Column
Age of the Head of Household
Age in Years
SE-FamilySize
Fifth Column
Total Number of People in Family (Both Adults and Children)
Number of People in Family
USD-Annual Expenditures
Sixth Column
Total Amount of Annual Expenditures
Amount in US Dollars
USD-Housing
Seventh Column
Total Amount of Annual Expenditure on Housing
Amount in US Dollars
USD-Electricity
Eighth Column
Total Amount of Annual Expenditure on Electricity
Amount in US Dollars
USD-Water
Ninth Column
Total Amount of Annual Expenditure on Water
Amount in US Dollars
How to read the data set: Each row contains information from one household. For instance, the first row of the dataset starting on the next page shows us that: the head of household is not married and is 59 years old, has an annual household income of $94,929, a family size of 2, annual expenditures of $55,247, and spends $18,483 on housing, $1,451 on electricity, and $546 on water.
UniqueID#
SE-MaritalStatus
SE-income
SE-AgeHeadHousehold
SE-FamilySize
USD-AnnualExpenditures
USD-Housing
USD-Electricity
USD-Water
1
Not Married
94929
59
2
55247
18483
1451
546
2
Not Married
96621
54
2
55746
18149
1455
540
3
Not Married
96664
53
3
55558
18502
1478
553
4
Not Married
96522
43
4
56152
18483
1457
537
5
Not Married
96697
49
2
56453
18520
1469
545
6
Not Married
96727
39
2
56440
18376
1441
542
7
Not Married
94867
60
1
55512
18633
1485
523
8
Not Married
96690
57
2
56097
18334
1453
535
9
Not Married
97469
35
4
54929
18514
1451
565
10
Not Married
96886
44
2
55321
18312
1450
523
11
Not Married
95744
52
4
55963
18435
1465
555
12
Not Married
96572
59
2
56515
18648
1480
552
13
Not Married
95366
48
2
57082
18576
1478
538
14
Not Married
97912
49
1
55704
18619
1450
553
15
Not Married
96928
43
3
55932
18701
1479
520
16
Married
114051
42
5
84486
25728
1452
818
17
Married
106627
56
3
82676
22414
1688
709
18
Married
109312
37
6
80801
25392
1514
743
19
Married
103144
29
5
75393
26322
1386
626
20
Married
111195
30
5
80865
25018
1481
796
21
Married
112559
39
3
80934
25531
1504
794
22
Married
97835
30
5
77765
27949
1297
641
23
Married
100693
42
2
73294
26102
1354
597
24
Married
95385
50
4
74110
22847
1302
684
25
Married
100350
31
5
73771
26853
1405
585
26
Married
95922
55
3
72228
22996
1326
674
27
Married
96207
27
3
74620
28491
1310
588
28
Married
97663
51
3
72971
23150
1320
689
29
Married
100565
18
3
69203
27950
1358
626
30
Married
97977
44
2
73198
22990
1298
696
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