Recent property sales from the NSW Valuer General analysed by AreaSearch for Port Macquarie - East (ABS Statistical Area Level 2 (SA2)).

Transport Performance and Analytics (TPA) provides projections of workforce at the small area (Travel Zone or TZ) level for the Sydney Greater Metropolitan Area (GMA).

The GMA includes the Sydney Greater Capital City Statistical Area (GCCSA), the Southern Highlands and Shoalhaven SA4, Illawarra SA4, Newcastle and Lake Macquarie SA4, and Lower Hunter, Port Stephens, and Maitland SA3s, as defined by the Australian Bureau of Statistics (ABS). TPA workforce projections are five-yearly, from 2011 to 2056 and relate to usual residents of the GMA aged 15 years and over who are employed. They are estimates of employed people based on where they reside. TPA also produces employment projections based on the workplace or job location. They refer to persons aged 15 years and over, working in the GMA regardless of their place of usual residence. The majority of the persons employed in the GMA also reside in the GMA.

Factors considered in the estimation of workforce projections include: population by age and gender; participation rates; unemployment rates; historical labour force data; past trends of employment in each industry and the forecasts of industry growth or decline in each region.

Two datasets provide geographic, land use and population data for US Counties within the contiguous US. Land area, water area, cropland area, farmland area, pastureland area and idle cropland area are given along with latitude and longitude of the county centroid and the county population. Variables in this dataset come from the US Dept. of Agriculture (USDA) Natural Resources Conservation Service (NRCS) and the US Census Bureau.

EOS-WEBSTER provides seven datasets which provide county-level data on agricultural management, crop production, livestock, soil properties, geography and population. These datasets were assembled during the mid-1990's to provide driving variables for an assessment of greenhouse gas production from US agriculture using the DNDC agro-ecosystem model [see, for example, Li et al. (1992), J. Geophys. Res., 97:9759-9776; Li et al. (1996) Global Biogeochem. Cycles, 10:297-306]. The data (except nitrogen fertilizer use) were all derived from publicly available, national databases. Each dataset has a separate DIF.

The US County data has been divided into seven datasets.

US County Data Datasets:

1) Agricultural Management 2) Crop Data (NASS Crop data) 3) Crop Summary (NASS Crop data) 4) Geography and Population 5) Land Use 6) Livestock Populations 7) Soil Properties