Relevance
While many of the critical spatial levels identified on the ESA list for the essential statistics were Australian Statistical Geography Standard (ASGS) levels, a number of datasets did not use ASGS, as seen in Table 7.

Table 7: Number and Proportion of Datasets by Whether ASGS is Used in Collection

ASGS Used in Collection	Number	Proportion
Does not use ASGS	124	62%
Uses ASGS	71	36%
Uses ASGS, but not able to output	4	2%
Total	199	100%*

*Percentages may not add to 100% due to rounding

The lowest geographic levels available for the datasets which underpin the essential statistics can be seen in Table 8. Around two in five datasets did not contain data lower than the state/territory level.

Table 8: Number and Proportion of Datasets by Lowest Geographic Level Available for Output

Lowest Geographic Level Available for Output	Number	Proportion
Meshblock	20	10%
Address	4	2%
SA1 or 2	28	14%
Postcode	10	5%
Local Government Areas	3	2%
SA3 or 4	15	8%
Remoteness Areas	12	6%
Labour force regions	8	4%
Capital city/balance of state	10	5%
State/territory	68	34%
National	16	8%
Other	5	3%
Total	199	100%*

*Percentages may not add to 100% due to rounding

Most datasets did not have geocoded data, as seen in Table 9. Partially geocoded data may include situations where only the some of the data is geocoded or where there are quality issues with the geocoding of the data.

Table 9: Number and Proportion of Datasets by Whether Data was Geocoded

Data Geocoded	Number	Proportion
No	135	68%
Yes	53	27%
Partially	11	6%
Total	199	100%*

*Percentages may not add to 100% due to rounding

The ESA list identified a number of standard disaggregations as critical to certain essential statistics. Age and Sex were provided in nearly all cases where they were required. Of all the standard disaggregations, institutional sector was the least likely to be obtained and the least likely to be collected using a standard classification, as seen in Table 10.

Table 10: Number and Proportion of Datasets by Standard Disaggregations

Standard Disaggregations	Number	Proportion
Age
Collected using single year	156	97%
Collected using aggregate	1	1%
Other	2	1%
Not obtained	2	1%
Total*	161	100%**
Sex
Collected male/female	153	96%
Collected male/female/other	4	3%
Other	1	1%
Not obtained	1	1%
Total*	159	100%**
Indigenous status
Collected self-identified, using standard question wording	94	70%
Collected self-identified, using non-standard question wording	6	4%
Collected self-identified, using standard question wording - not available for output	8	6%
Collected in another manner	5	4%
Observed	5	4%
Not available for output	2	1%
Not obtained	15	11%
Total*	135	100%**
Labour force status
Collected using standard classification	38	62%
Collected using non-standard classification	8	13%
Not obtained	15	25%
Total*	61	100%**
Industry
Collected using standard classification	60	72%
Collected using non-standard classification	8	10%
Not obtained	15	18%
Total*	83	100%**
Institutional Sector
Collected using standard classification	17	55%
Collected using non-standard classification	5	16%
Not obtained	9	29%
Total*	31	100%**

* The total is the number of datasets identified in the 2013 list as requiring the specified critical standard disaggregations
**Percentages may not add to 100% due to rounding