something relevant to this that I wrote a few years ago. This is Chapter 16 from a book:
Pullum, T. W. 2004. Natality: Measures based on censuses and surveys. Chapter 16 of The Methods and Materials of Demography, D. Swanson and J. Siegel (eds.), Academic Press.
Pages 426-428 are relevant.

To get that specific table in Stata, you could use the following lines. Note that in that survey, year of birth is coded with only two digits. For example, "1995" is coded "95". More recent surveys generally use four digits for the year.

The main complication is that the births in the birth histories are sequenced in reverse temporal order. That is, birth 1 is the most recent birth. You need to work from bord, with gives the birth order of each birth. One way to do that, with local notation, is shown here. There are other ways.

Another complication is that the indexes for the births in the birth history are 01, 02,....09, 10, 11, etc. I recommend that the leading 0 for 01 through 09 be removed with a rename command, as shown.

Let me know if you have other questions.

* Construction of table 16.29 in Chapter 16 of Methods and Materials of Demography

* open PHIR3BFL.dta

set more off

* get the names of the b variables
describe b*01

describe bord*
* there are up to 20 births in the birth histories

* remove the unnecessary 0's in the index for the b variables
rename b*_0* b*_*

* The births in the birth history are numbered in reverse order;
*   it will be convenient to resequence them by birth order
* This approach can be used for other years and parities

gen year_1=.
gen year_2=.

local li=1
while `li'<=20 {
replace year_1=b2_`li' if bord_`li'==1
replace year_2=b2_`li' if bord_`li'==2
local li=`li'+1
}

tab year_1 year_2 if year_1>=90 & year_2>=90

I don't have the original programs, but the Stata lines to reproduce table 16.28, which gives the number of births by birth order and calendar year, are simple:

* To reproduce table 16.28 in Methods and Materials of Demography, 2nd edition
* Philippines 1998 survey; use the BR file

* The table in M&M only goes to order 8
* Note that year of birth, b2, in this survey, gives only the last two digits

*open PHBR5BFL.dta

set more off

* unweighted, as in table 16.28
tab bord b2 if b2>=90

* weighted, which would be typical for analysis
tab bord b2 [iweight=v005/1000000] if b2>=90

I do not have time to re-write the Stata code to reproduce table 16.5, which is woman-years of exposure in each combination of five-year age intervals and five-year time intervals. DHS does not normally go back in time for more than 15 years, and the time intervals are generally 0-4 years before the survey, 5-9 years, before the survey, etc., rather than time intervals defined by calendar years such as 1995-99. You can look for a link to a fertility rates program elsewhere on the forum or the website. Such programs will produce the numerators and the denominators of the rates, as well as the rates themselves.

The approach I generally take for such a table is to construct, for each woman in the IR file, the first and last cmc when she was in each age interval, and the first and last cmc when she was in each time interval. (For calendar years of time, the first and last months will be the same for all woman. For years ago, the first and last months will differ somewhat from one woman to another, depending on the month in which she was interviewed.) You then count up the number of months each woman lived in each combination of age and time. Then add up across all women and divide by 12 to go from months to years. You can do the addition with the collapse command in Stata.