Data appears to be missing for certain indicators using nomisr but available to download through nomis web - is there a reason for this?

[ninarobery]

For example the numerators are missing for main industrial sectors using following code:

library(dplyr)
library(nomisr)
aps_vars <- nomis_get_metadata("NM_17_5", concept = "variable")

Define geography:

GM_geos <- c(1946157081, 1946157082, 1946157083, 1946157084, 1946157085, 1946157086, 1946157087, 1946157088, 1946157089, 1946157090, 1853882369, 2013265922, 2092957699)

Main industrial sectors

industry_vars <- aps_vars %>%
mutate(industry = if_else(id == 226, 1,
if_else(id == 227, 1,
if_else(id == 228, 1,
if_else(id == 229, 1,
if_else(id == 230, 1,
if_else(id == 231, 1,
if_else(id == 232, 1,
if_else(id == 233, 1,
if_else(id == 234, 1,
if_else(id == 235, 1,0 ))))))))))) %>%
filter(industry == 1) %>%
select(id) %>%
pull(id)

industry_data <- nomis_get_data(id = "NM_17_5", date = "previousMINUS2", geography = GM_geos, variable = industry_vars, measures = c(20599, 21001, 21002)) %>%
select(DATE_NAME, GEOGRAPHY, GEOGRAPHY_NAME, GEOGRAPHY_CODE, VARIABLE_NAME, MEASURES_NAME, OBS_VALUE)

This code only brings back denominator data

[evanodell]

Try

industry_data2 <- nomis_get_data(id = "NM_17_5",date = "previousMINUS2",  
geography = GM_geos, variable = c(1339:1348), measures = c(20599, 21001, 21002))

Your query uses the old SIC 92/03, while the web query defaults to SIC 2007 classification, which is variables 1339 to 1348.

Let me know if that works or not.

[ninarobery]

That has now worked - many thanks.