Data - Page 10

2013 Census meshblock dataset contains counts at meshblock levels for selected variables from the 2013 Census. The geographies correspond to 2013 Census boundaries. The counts are at the highest level of each variable’s classification.

Notes:
Confidentiality rules have been applied to all cells in this table, including randomly rounding to base 3.
-999 indicates cells have been suppressed for confidentiality reasons.
-995 indicates cells that could not be calculated.

2013 Census meshblock dataset contains counts at meshblock levels for selected variables from the 2013 Census. The geographies correspond to 2013 Census boundaries. The counts are at the highest level of each variable’s classification.

Notes:
Confidentiality rules have been applied to all cells in this table, including randomly rounding to base 3.
-999 indicates cells have been suppressed for confidentiality reasons.
-995 indicates cells that could not be calculated.

MB2015_V1_00_Centroid_Inside is the inside centroid point layer for the major released version of the annually released meshblock pattern as at 1 January 2015. The "inside" centroid is a point which always falls inside each Meshblock polygon as this is desirable in some users' cases. The placement of the point is typically in the widest part of the polygon.The algorithms used are proprietary to ESRI and are related to label placement. Note that the "inside" centroid is NOT always the same as the centre of gravity ("true" centroid) of the polygon as in some situations the true centroid may fall outside the meshblock geometry. The dataset contains the EASTING and NORTHING attributes of the centroid point in NZGD2000 New Zealand Transverse Mercator (EPSG:2193) and LATITUDE and LONGITUDE of the centroid point in decimal degrees in WGS1984 (EPSG:4326) projection. This version contains 47,046 Meshblock inside centroid points. Non-digitised meshblocks do not have have an inside centroid.

This data is derived from ‘Sales by region in current prices - quarterly’ and ‘Estimated resident population for regional council areas, at 30 June(1996+)’.

The regional retail sales data has been aggregated to create data for calendar years(2012 - 2017), which have then divided by the population estimate for the relevant region and year, to create the per capita sales figures. Sales figures exclude GST.

The retail industry groups include the following ANSZIC06 industries (this data is for 2017 ONLY):

Motor vehicles, parts, and fuel retailing:
Motor vehicles and parts
Fuel

Supermarkets and specialised food retailing:
Supermarket and grocery stores
Specialised food
Liquor

Other retailing:
Department stores
Furniture, floor-coverings, houseware, textiles
Electrical and electronic goods
Clothing, footwear, and accessories
Recreational goods
Hardware, building, and garden supplies
Pharmaceutical and other store-based retailing
Non-store and commission-based retailing

Hospitality:
Accommodation
Food and beverage services