Unemployment by council area
/v1/lga/{lga_name}/economy/unemployment3¢ per callQuarterly unemployment rate, number unemployed and labour force for every local council area since late 2010. Modelled estimates.
Coverage: 541 council areas, all states and territories; December quarter 2010 to June quarter 2026. Current to 2026-06-30. Full description, field list and method: /v1/datasets/unemployment-lga.
Authorization
Request
The only values you send. Fields under Responses below are what comes back — you never pass those.
Path parameters
lga_namestringrequiredCouncil (LGA) name exactly as /v1/lga/list returns it, e.g. `Lake Macquarie`.
Query parameters
fieldsstringoptionalComma-separated subset of: unemployment_rate, unemployed_persons, labour_force. Omit for all.
fromstringoptionalFirst period to include: 2020, 2020-Q3, 2020-07 or 2020-07-01.
tostringoptionalLast period to include, same formats as `from`.
Responses
Successful Response
datasetstringalways returnedDataset slug; describe it with /v1/datasets/{slug}.
levelstringalways returnedsuburb, lga or block.
areastringalways returnedCanonical name (or mesh-block code) of the area answered.
period_typestringalways returnedsnapshot, year, financial_year, quarter or month.
as_ofstring · datealways returnedDate the dataset is current to. Values are never withheld for age; check this instead.
modelledbooleanalways returnedTrue when the figures are estimates from a model rather than counts or measurements.
fieldsarray of DatasetFieldSeriesalways returned/v1/lga/{lga_name}/economy/unemploymentcurl --request GET \
--url 'https://api.microburbs.com.au/v1/lga/Lake%20Macquarie/economy/unemployment' \
--header 'Authorization: Bearer test'{
"data": {
"dataset": "unemployment-lga",
"level": "lga",
"area": "Lake Macquarie",
"period_type": "quarter",
"as_of": "2026-06-30",
"modelled": true,
"fields": [
{
"field": "unemployment_rate",
"name": "Unemployment rate",
"unit": "%",
"values": [
{
"period": "2025-Q4",
"period_start": "2025-10-01",
"value": 4.1
},
{
"period": "2026-Q1",
"period_start": "2026-01-01",
"value": 4.5
},
{
"period": "2026-Q2",
"period_start": "2026-04-01",
"value": 4.6
}
]
},
{
"field": "unemployed_persons",
"name": "Unemployed persons",
"unit": "persons",
"values": [
{
"period": "2025-Q4",
"period_start": "2025-10-01",
"value": 4780
},
{
"period": "2026-Q1",
"period_start": "2026-01-01",
"value": 5163
},
{
"period": "2026-Q2",
"period_start": "2026-04-01",
"value": 5232
}
]
},
{
"field": "labour_force",
"name": "Labour force",
"unit": "persons",
"values": [
{
"period": "2025-Q4",
"period_start": "2025-10-01",
"value": 115353
},
{
"period": "2026-Q1",
"period_start": "2026-01-01",
"value": 114598
},
{
"period": "2026-Q2",
"period_start": "2026-04-01",
"value": 114118
}
]
}
]
}
}About this dataset
541 council areas, all states and territories; December quarter 2010 to June quarter 2026. Current to 2026-06-30; refreshed quarterly. These figures are modelled estimates.
What it is
Regional labour-market estimates for each local government area (council area), every quarter from December 2010 to the latest release.
What it shows
The unemployment rate (percent of the labour force), the estimated number of unemployed people, and the size of the labour force (people working or looking for work). Each figure is smoothed over four quarters.
Why use it
Local jobs drive rental demand, mortgage stress and price growth. Use it to compare a council area with its neighbours or the state, to spot areas where unemployment is rising before it shows up in rents and arrears, or to add an economic backdrop to a suburb report.
How it is built
National survey-based labour-force estimates are distributed to small areas using administrative data on income-support recipients and the latest population counts, then smoothed with a four-quarter average to remove sampling noise. Small councils (labour force under about 1,000) are volatile, and smoothing means the series lags turning points by a few months; compare the same quarter year on year. Remote communities can show very high rates (above 40%), which are genuine estimates, not errors.
Fields
| Field | Unit | Description |
|---|---|---|
unemployment_rateUnemployment rate | % | Share of the labour force that is unemployed, smoothed over four quarters. |
unemployed_personsUnemployed persons | persons | Estimated number of unemployed people, smoothed over four quarters. |
labour_forceLabour force | persons | Estimated number of people employed or looking for work, smoothed over four quarters. |
