NZ Deprivation Index 2006

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6735
1303
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14 Oct 2011

NZDep2006 is an index of socioeconomic deprivation based on the 2006 census meshblocks from Statistics NZ. It combines nine variables from the 2006 census into a deprivation score for each meshblock, reflecting eight dimensions of deprivation.

Meshblocks are geographical units defined by Statistics New Zealand, containing a median of approximately 87 people in 2006.

Source: www.uow.otago.ac.nz/academic/dph/research/socialin...

Layer ID 1066
Data type Vector multipolygon
Feature count 42946
Services Vector Query API

NZ Area Units (2006 Census)

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4078
1293
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12 Nov 2009

Census area units created by aggregating meshblocks to a similar area as suburbs.

More from Statistics NZ: Definition.

Layer ID 1245
Data type Vector multipolygon
Feature count 1909
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NZ Meshblocks (2008 Yearly Pattern)

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2540
540
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24 Nov 2008

Meshblocks for the 2008 yearly pattern. This layer was not used for the 2006 census.

The 2006 census meshblocks: koordinates.com/layer/1248-nz-meshblocks-2006-cens...

The meshblock is the smallest geographic area used by Statistics New Zealand in the collection and/or processing of data. It is the building block for aggregation into larger areas such as area units and urban areas.

Data sourced from: www.stats.govt.nz/publications/businessperformance...

Layer ID 390
Data type Vector multipolygon
Feature count 44555
Services Vector Query API

NZ Meshblocks (2006 Census)

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Creative Commons Attribution 3.0 New Zealand

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943
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18 Jan 2011

The meshblock is the smallest geographic area used by Statistics New Zealand in the collection and/or processing of data. It is the building block for aggregation into larger areas such as area units and urban areas.

Data sourced from: www.stats.govt.nz/publications/businessperformance...

Layer ID 2147
Data type Vector multipolygon
Feature count 42946
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California 2020 Projected Urban Growth

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2204
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Updated
09 May 2010

20 year Projected Urban Growth scenarios. Base year is 2000. Projected year in this dataset is 2020.

By 2020, most forecasters agree, California will be home to between 43 and 46 million residents-up from 35 million today. Beyond 2020 the size of California's population is less certain. Depending on the composition of the population, and future fertility and migration rates, California's 2050 population could be as little as 50 million or as much as 70 million. One hundred years from now, if present trends continue, California could conceivably have as many as 90 million residents.

Where these future residents will live and work is unclear. For most of the 20th Century, two-thirds of Californians have lived south of the Tehachapi Mountains and west of the San Jacinto Mountains-in that part of the state commonly referred to as Southern California. Yet most of coastal Southern California is already highly urbanized, and there is relatively little vacant land available for new development. More recently, slow-growth policies in Northern California and declining developable land supplies in Southern California are squeezing ever more of the state's population growth into the San Joaquin Valley.

How future Californians will occupy the landscape is also unclear. Over the last fifty years, the state's population has grown increasingly urban. Today, nearly 95 percent of Californians live in metropolitan areas, mostly at densities less than ten persons per acre. Recent growth patterns have strongly favored locations near freeways, most of which where built in the 1950s and 1960s. With few new freeways on the planning horizon, how will California's future growth organize itself in space? By national standards, California's large urban areas are already reasonably dense, and economic theory suggests that densities should increase further as California's urban regions continue to grow. In practice, densities have been rising in some urban counties, but falling in others.

These are important issues as California plans its long-term future. Will California have enough land of the appropriate types and in the right locations to accommodate its projected population growth? Will future population growth consume ever-greater amounts of irreplaceable resource lands and habitat? Will jobs continue decentralizing, pushing out the boundaries of metropolitan areas? Will development densities be sufficient to support mass transit, or will future Californians be stuck in perpetual gridlock? Will urban and resort and recreational growth in the Sierra Nevada and Trinity Mountain regions lead to the over-fragmentation of precious natural habitat? How much water will be needed by California's future industries, farms, and residents, and where will that water be stored? Where should future highway, transit, and high-speed rail facilities and rights-of-way be located? Most of all, how much will all this growth cost, both economically, and in terms of changes in California's quality of life?

Clearly, the more precise our current understanding of how and where California is likely to grow, the sooner and more inexpensively appropriate lands can be acquired for purposes of conservation, recreation, and future facility siting. Similarly, the more clearly future urbanization patterns can be anticipated, the greater our collective ability to undertake sound city, metropolitan, rural, and bioregional planning.

Consider two scenarios for the year 2100. In the first, California's population would grow to 80 million persons and would occupy the landscape at an average density of eight persons per acre, the current statewide urban average. Under this scenario, and assuming that 10% percent of California's future population growth would occur through infill-that is, on existing urban land-California's expanding urban population would consume an additional 5.06 million acres of currently undeveloped land. As an alternative, assume the share of infill development were increased to 30%, and that new population were accommodated at a density of about 12 persons per acre-which is the current average density of the City of Los Angeles. Under this second scenario, California's urban population would consume an additional 2.6 million acres of currently undeveloped land. While both scenarios accommodate the same amount of population growth and generate large increments of additional urban development-indeed, some might say even the second scenario allows far too much growth and development-the second scenario is far kinder to California's unique natural landscape.

This report presents the results of a series of baseline population and urban growth projections for California's 38 urban counties through the year 2100. Presented in map and table form, these projections are based on extrapolations of current population trends and recent urban development trends. The next section, titled Approach, outlines the methodology and data used to develop the various projections. The following section, Baseline Scenario, reviews the projections themselves. A final section, entitled Baseline Impacts, quantitatively assesses the impacts of the baseline projections on wetland, hillside, farmland and habitat loss.

Layer ID 670
Data type Vector polygon
Feature count 9097
Services Vector Query API

NZ Area Units (2008 Yearly Pattern)

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Only
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Creative Commons Attribution 3.0

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1999
194
Added
13 Nov 2008

Census area units for the 2008 yearly pattern, created by aggregating meshblocks to a similar area as suburbs.

More from Statistics NZ: Definition.

Layer ID 339
Data type Vector multipolygon
Feature count 1909
Services Vector Query API

NZ Urban Areas (2008 Yearly Pattern)

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Creative Commons Attribution 3.0

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1685
437
Added
14 Nov 2008

Urban areas are statistically defined areas with no administrative or legal basis. The urban area classification is designed to identify concentrated urban or semi–urban settlements without the distortions of administrative boundaries.

Sourced from: www.stats.govt.nz/publications/businessperformance...

Layer ID 346
Data type Vector multipolygon
Feature count 145
Services Vector Query API

NZ Territorial Authorities (2006 Census)

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1081
442
Added
12 Nov 2009

NZ Territorial Authorities derived from the 2006 Census meshblocks.

Sourced from: www.stats.govt.nz/publications/businessperformance...

Layer ID 1247
Data type Vector multipolygon
Feature count 72
Services Vector Query API

NZ Meshblocks (2009 Yearly Pattern)

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1223
224
Updated
09 May 2010

Meshblocks for the 2009 yearly pattern. This layer was not used for the 2006 census.

The 2006 census meshblocks: koordinates.com/layer/1248-nz-meshblocks-2006-cens...

The meshblock is the smallest geographic area used by Statistics New Zealand in the collection and/or processing of data. It is the building block for aggregation into larger areas such as area units and urban areas.

Data sourced from: www.stats.govt.nz/publications/businessperformance...

Layer ID 1251
Data type Vector polygon
Feature count 45523
Services Vector Query API

NZ Urban Areas (2006 Census)

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Creative Commons Attribution 3.0

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1028
328
Added
12 Nov 2009

Urban areas are statistically defined areas with no administrative or legal basis. The urban area classification is designed to identify concentrated urban or semi–urban settlements without the distortions of administrative boundaries.

Sourced from: www.stats.govt.nz/publications/businessperformance...

Layer ID 1246
Data type Vector multipolygon
Feature count 145
Services Vector Query API
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