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Footnotes.

Understanding our reports is important, so here are some notes around how we have worked out our figures.

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Population Reports

The data in these reports is provisional and should be regarded as an early, indicative estimate of population counts, not official statistics. Any statements made in this are purely opinion based on our observation of trends/figures.

All summarised figures/data produced to create these insights are available in our github repository: https://github.com/dataventuresnz/mobility-index/

  1. Find out more here around how we produce our data:
    1. Population Density Privacy Impact Assessment.pdf
    2. Data from cellphone towers used to help Government make infrastructure decisions
  2. Each classification represented in the six graphs are determined by analysing a sample of suburbs of New Zealand and categorising them according to specific population behaviours. In the instance for each of the classifications, we use a selection of areas based on:
    1. Recreational: where people are typically going for the weekends, usually beach areas, lakes, tramping/biking spots.
    2. Residential: where people are typically staying in the evening, and through to the morning which is where they generally live.
    3. Retail: where people are coming together in times of when a mall/shopping district is normally operating.
    4. Tourism: where international tourists are usually visiting during daylight hours.
    5. Transit: where people are crossing over, either a suburb with a train or major bus station, a motorway/highway intersection or interchange. It is usually suburbs that demonstrate congestion at expected times of the week.
    6. Workplace: where people are generally during the day for 9-5 hours.
    For a technical overview of SA2’s and their types, a spreadsheet can be found inside our repository: https://github.com/dataventuresnz/mobility-index.html
  3. A normal week in 2019 is created from a rolling average using four weeks from the same period in 2019, and averaging the count across each hour.
  4. The methodology for constructing the mobility index is available through our GitHub written in R code at https://github.com/dataventuresnz/mobility-index.html

Spend Reports

The data in these reports is provisional and should be regarded as an early, indicative estimate of spend counts, not official statistics. Any statements made in this are purely opinion based on our observation of trends/figures.

  1. Data for Spend Density is aggregated to Territorial Authority Local Board Level (TALB) to ensure confidentiality of any businesses.
  2. We created a Spend Index to provided a balance view of spending behaviour over time. The index is made up of a combination of spend values and volumes that have been normalised using maximum and minimum values. This provides a less volatile view of the time series for comparing weekly changes over time.
  3. This report has further aggregated the data to Regional Council levels as a summary. Some TALB's fall into multiple regions and the dominant region has been selected based on population distribution. TALB's that are affected are:
    1. Taupo District (Waikato)
    2. Waitomo District (Waikato)
    3. Rotorua District (Bay of Plenty)
    4. Stratford District (Taranaki)
    5. Rangitikei District (Manawatū-Whanganui)
    6. Tararua District (Manawatū-Whanganui)
    7. Waitaki District (Otago)
  4. The categories of spend are groupings of ANZSIC codes:
    1. Consumables - includes food and liquor retailing (ANZSIC: 4110 4121 4122 4123 41292)
    2. Durables - includes furniture, hardware, appliance, retailing; pharmacy, cosmetic, and toiletry retailing (ANZSIC: 4210 – 4245 4260 – 42793)
    3. Hospitality - includes accommodaton, bars, cafe, restaurants, and takeaway retailing. (ANZSIC: 4400 4511 4512 4513 4520 45304)
    4. Services - includes personal and household services, including hire and repair; automotive electrical and repair services. (ANZSIC: 9411 – 9539)
    5. Apparel - includes clothing, sođ-goods, and footwear re-tailing. (ANZSIC: 4251 4252 4253 42596)
    6. Motor vehicles - includes automotive parts, accessories; vehicle and tyre retailing. (ANZSIC: 3911 3912 3913 3921 39227)
    7. Fuel retailing - includes automotive fuel retailing. (ANZSIC: 4000)
    8. Non-retail - includes travel and health, and wholesaling. (ANZSIC: 0110 – 3800, 4610 – 9209,9540 – 9603)