Sometimes you have data files that need to be **collapsed** to be useful to you. For example, you might have student data but you really want classroom data, or you might have weekly data but you want monthly data,
etc. We will illustrate this using an example showing how you can collapse data across kids to make family level data.

Here is a file containing information about the kids in
three families. There is one record per kid. **Birth** is the order of birth
(i.e., 1 is first), **age** **wt** and **sex** are the child’s age, weight and sex. We will use this file for showing how to collapse data across observations.

use https://stats.idre.ucla.edu/stat/stata/modules/kids, clearlistfamid kidname birth age wt sex 1. 1 Beth 1 9 60 f 2. 1 Bob 2 6 40 m 3. 1 Barb 3 3 20 f 4. 2 Andy 1 8 80 m 5. 2 Al 2 6 50 m 6. 2 Ann 3 2 20 f 7. 3 Pete 1 6 60 m 8. 3 Pam 2 4 40 f 9. 3 Phil 3 2 20 m

Consider the **collapse** command below. It collapses across all of the observations to make a single record with the average age of the kids.

collapse agelistage 1. 5.111111

The above **collapse** command was not very useful, but you can combine it with the
**by(famid)** option,
and then it creates one record for each family that contains the average age of the kids in the family.

use https://stats.idre.ucla.edu/stat/stata/modules/kids, clearcollapse age, by(famid)listfamid age 1. 1 6 2. 2 5.333333 3. 3 4

The following **collapse** command does the exact same thing as above, except that the average of
**age** is named **avgage** and we have explicitly told the **collapse** command that we want it to compute the
**mean**.

use https://stats.idre.ucla.edu/stat/stata/modules/kids, clearcollapse (mean) avgage=age, by(famid)listfamid avgage 1. 1 6 2. 2 5.333333 3. 3 4

We can request averages for more than one variable. Here we get the average for
**age** and for **wt** all in the same command.

use https://stats.idre.ucla.edu/stat/stata/modules/kids, clearcollapse (mean) avgage=age avgwt=wt, by(famid)listfamid avgage avgwt 1. 1 6 40 2. 2 5.333333 50 3. 3 4 40

This command gets the average of **age**
and **wt** like the command above, and also computes **numkids** which is the count of the number of kids in each family (obtained by counting the number of observations with valid values of
**birth**).

use https://stats.idre.ucla.edu/stat/stata/modules/kids, clearcollapse (mean) avgage=age avgwt=wt (count) numkids=birth, by(famid)listfamid avgage avgwt numkids 1. 1 6 40 3 2. 2 5.333333 50 3 3. 3 4 40 3

Suppose you wanted a count of the number of boys
and girls in the family. We can do that with one extra step. We will create a dummy variable that is 1 if the kid is a boy (0 if not), and a dummy variable that is 1 if the kid is a girl (and 0 if not). The sum of the
**boy** dummy variable is the number of boys and the sum of the **girl** dummy variable is the number of girls.

First, let’s use the kids file (and clear out the existing data).

use https://stats.idre.ucla.edu/stat/stata/modules/kids, clear

We use **tabulate** with the **generate** option to make the dummy variables.

tabulate sex, generate(sexdum)sex | Freq. Percent Cum. ------------+----------------------------------- f | 4 44.44 44.44 m | 5 55.56 100.00 ------------+----------------------------------- Total | 9 100.00

We can look at the dummy variables.
**Sexdum1** is the dummy variable for girls. **Sexdum2** is the dummy variable for boys. The sum of
**sexdum1** is the number of girls in the family. The sum of **sexdum2** is the number of boys in the family.

list famid sex sexdum1 sexdum2famid sex sexdum1 sexdum2 1. 1 f 1 0 2. 1 m 0 1 3. 1 f 1 0 4. 2 m 0 1 5. 2 m 0 1 6. 2 f 1 0 7. 3 m 0 1 8. 3 f 1 0 9. 3 m 0 1

The command below creates **girls** which is the number of girls in the family, and
**boys** which is the number of boys in the family.

collapse (count) numkids=birth (sum) girls=sexdum1 boys=sexdum2, by(famid)

We can list out the data to confirm that it worked correctly.

list famid boys girls numkidsfamid boys girls numkids 1. 1 1 2 3 2. 2 2 1 3 3. 3 2 1 3

## Summary

To create one record per family (**famid**) with the average of age within each family.

collapse age, by(famid)

To create one record per family (**famid**) with the average of age (called avgage) and average weight (called avgwt) within each family.

collapse (mean) avgage=age avgwt=wt, by(famid)

Same as above example, but also counts the number of kids within each family calling that
**numkids**.

collapse (mean) avgage=age avgwt=wt (count) numkids=birth, by(famid)

Counts the number of boys and girls in each family by using tabulate to create dummy variables based on sex and then summing the dummy variables within each family.

tabulate sex, generate(sexdum) collapse (sum) girls=sexdum1 boys=sexdum2, by(famid)