Business - Geographic units by Regional Council and detailed industry (absolute and %) 2015
Geographic Units: The geographic unit represents a business location engaged in one, or predominantly one, kind of economic activity at a single physical site or base (eg a factory, a farm, a shop, an office). Geographic units are unique to enterprises and an enterprise unit can have one or many geographic units (business locations). Typically, an enterprise unit only has a single geographic unit, unless the enterprise has paid employees who permanently work at more than one location. Geographic units can be transferred between enterprises (eg enterprise B purchases a factory (a geographic unit on the BF) as a going concern from enterprise A).
ANZSIC06: Australian and New Zealand Standard Industrial Classification 2006. A business is normally assigned to an ANZSIC06 category according to the predominant activity it is engaged in. ANZSIC06 is a hierarchical classification with four levels: division, subdivision, group, and class.
Figure.NZ calculated '% of Area' as the share of businesses or employees within the region/district. For example the Agriculture industry (A01) accounts for 22.5% of businesses in the Far North, or 7.8% of the district's employees.
Limitations of the data
- Non-coverage of 'small' enterprises that fall below the economic significance criteria on Statistics New Zealand's Business Frame (BF).
- Lags in recording business births and deaths.
- Difficulties in maintaining industrial and business classifications for smaller firms (that are primarily maintained using administrative data).
- Fine level regional and industry business demography data needs to be used with caution. The Statistics NZ Business Frame (BF), which is the main source of data for the business demography series, is designed to support quality national level statistics. It is not designed to provide quality fine level regional or industry statistics. The BF update sources can have timing lags and less robust information, particularly for medium and small sized businesses. These quality weaknesses can be highlighted in fine level business demography statistics.
- Business demography time series statistics can be influenced by structural changes in businesses. These changes may include business mergers, one business taking over another business, or a business selling part of its activities. This can cause significant movement in an industry (ANZSIC06) time series of employee count data. For example in a business takeover where one enterprise is absorbed into another enterprise, the employees of the smaller enterprise will typically become classified to the ANZSIC06 of the larger enterprise.
- Many enterprises undertake a range of business activities simultaneously. For example they manufacture and wholesale goods and their activities can be across a range of commodities that cross ANZSIC06 boundaries. Enterprises are classified to ANZSIC06 on the BF on the basis of predominant activity. Movements in time series of ANZSIC06 data can be caused by the predominant activity of enterprises changing. This can cause what appears to be a significant change in an industry time series. These changes need to be interpreted with caution as the business activity may be largely continuing under a different predominant industry classification.
Business demography statistics are limited to economically significant individual, private-sector and public-sector enterprises that are engaged in the production of goods and services in New Zealand. These enterprises are maintained on the Statistic NZ Business Frame, which generally includes all employing units and those enterprises with GST turnover greater than $30,000 per year.
Data provided by
Business Demography Statistics: Geographic units by region and industry (with percentages) 2015
How to find the data
Data is displayed at URL provided. We selected only the year 2015 to create this dataset. The selection of ANZSIC industries was reduced to 704 unique categories.
Import & extraction details
From the dataset Business Demography Statistics: Geographic units by region and industry (with percentages) 2015 , this data was extracted:
- Sheet: TABLECODE7601_Data_47a8e326-4f1
- Provided: 45,508 data points
Dataset originally released on:
October 29, 2015