The American Community Survey (ACS) Public Use Microdata Sample (PUMS) files are a set of untabulated records about individual people or housing units.

The data for analysis was extracted from: https://www.census.gov/programs-surveys/acs/data/pums.html

For this analysis, we have limited our scope to the state of Idaho only.



Below data shows the percent distribution of the sample data in terms of number of bedrooms.

It is evident that 3 bedrooms is the most common. A low 0.79% houses do not have even a single bedroom.


0 1 2 3 4 5
0.7958421 6.918954 23.92399 42.68312 18.25564 7.422446


Further we can see distribution in terms of number of rooms in hoseholds in Idaho.


In the sample data, 5 room houses are most common at 23.09%, followed by 6 room and 4 room houses respectively.


1 2 3 4 5 6 7 8 9
0.6659087 2.290076 5.976937 15.39711 23.09566 18.14195 13.44811 9.062855 11.92139


In the next plot, we are looking at value of property(VAL) vs. Year the house/property was built.


We can see how the cost of property has increased over time. The most recently built houses/properties are the costliest.


Further, we compare the Household size with the number of vehicles.


No. of Vehicles vs. Mean, Max and Min Household Size
VEH mean max min
0 2.76 6 2
1 2.72 7 2
2 2.93 9 2
3 3.22 11 2
4 3.50 9 2
5 3.60 9 2
6 3.80 7 2


In the next plot, we are looking at - family income (FINCP) vs. property value (VAL)


We can observe that high family income group is prevalent in the high property value. This is represented in the top right region of the plot below.



The last section shows the affect of presence of children on Electricity Cost


As evident, presence of children in the household can be attributed to an increase in electricity consumpltion.
Also, we can say that age group of children does not influence the electricity consumption charges.