Exposure LOCATION Profile Report - Store & Retrieve Data ... · 4/13/2018 · Such baseline data...

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Exposure LOCATION Profile Report

This report contains location-specific metrics on the environment & hazard exposure,

including elevation, slope, surface water flow directions, vegetation, climate and

demographics. Such baseline data are important for applications in emergency,

insurance, real estate, news reporting, etc. when making informed location decisions.

Property Address:

Street Number and Name: Vincent Rd

Suburb: Cranebrook Postcode: 2749

State: NSW

Country: Australia

Location: (longitude, latitude): 150.7234659, -33.7059431

Distance to Capital City (e.g. Parliament House, Canberra): 230.7 km

Report Creator: https://www.PropertyLocation.com.au ([email protected])

Report Date: Friday, April 13, 2018

Report Version: V4.30


Overview: Location Imagery & Elevation Profiles

Links: This location in popular online mapping sites, e.g.

Google Maps Bing Maps OpenStreetMap

Site spot elevation: 48.9 m; Slope: 2.3 degrees (Gently Sloping, see Note 1 for slope

classification). Slope impacts site stability, surface water runoff and soil erosion.

Vincent Rd

30

35

40

45

50

55

60

65

30

35

40

45

50

55

60

65

Elev

atio

n pr

ofile

/ va

riatio

n (m

)

-1200 -1050 -900 -750 -600 -450 -300 -150 0 150 300 450 600 750 900 1050 1200

Distance to the property (m)

West-East North-South NorthWest-SouthEast SouthWest-NorthEast

https://maps.google.com/maps?ll=-33.7059431,150.7234659&q=-33.7059431,150.7234659&hl=en&t=m&z=15

https://www.bing.com/maps/?v=2&cp=-33.7059431~150.7234659&style=r&lvl=15&sp=Point.-33.7059431_150.7234659_%28Vincent Rd%29___

https://www.openstreetmap.org/?mlat=-33.7059431&mlon=150.7234659&zoom=15&layers=M

#target1


Average Elevation & Slope over Various Land Sizes

46

47

48

49

50

51

52

Elev

atio

n (m

)

Over 90 m x 90 mland area



Elevation Variations: Max - Average (middle bar) - Min

0.0

0.5

1.0

1.5

2.0

2.5

3.0

Slop

e (d

egre

es)




Slope Variations: Max - Average (middle bar) - Min


Surface Water Flow Directions Related to Flash, Riverine, or

Coastal Flooding

34

36

3840

42

44

4648

50

52

5456

58

60

6264

66

34

36

3840

42

44

4648

50

52

5456

58

60

6264

66

Ele

vatio

n (m

)-1200

-1050

-900

-750

-600

-450

-300

-150

0

150

300

450

600

750

900

1050

1200

Y (S

outh

-Nor

th d

irect

ion,

m)

-1200 -900 -600 -300 0 300 600 900 1200

X (West-East direction, m)

34

36

3840

42

44

4648

50

52

5456

58

60

6264

66

Ele

vatio

n (m

)

-1200

-1050

-900

-750

-600

-450

-300

-150

0

150

300

450

600

750

900

1050

1200

Y (S

outh

-Nor

th d

irect

ion,

m)

-1200 -900 -600 -300 0 300 600 900 1200



Surrounding Bushland

The distance from this address to nearby large bushland is less than 100 m; bushfires

occasionally take place in nearby bushland during the hot summer.

The percentage of bushland cover at various distance ranges from the property.

-1200

-1050

-900

-750

-600

-450

-300

-150

0

150

300

450

600

750

900

1050

1200

Y (S

outh

-Nor

th d

irect

ion,

m)

-1200 -900 -600 -300 0 300 600 900 1200


< 300 m

300-600 m

600-900 m

900-1200 m

0

10

20

30

40

50

60

70

Perc

enta

ge %

of b

ushl

and

< 300 m 300-600 m 600-900 m 900-1200 mDistance range from the property

Nearby bushland cover


Climate-Warming Trend for the Location This part contains climate-warming projections for the location according to the new NASA

climate dataset NEX-GDDP (2015), which is widely used for climate change impact studies

and increasing public awareness / understanding of a warming climate. A rapidly warming

climate has significant adverse impact on the occurrence (frequency, intensity and duration) of

heatwaves, bushfires and droughts that are directly driven by high surface temperatures.

Projected warming trends from the well-known global climate model, CSIRO-MK.3.6.0 (by

CSIRO, Australia), under two greenhouse gas emissions scenarios are presented for the

property location. Average daily max and min temperatures by year and by December (the first

month of summer in Australia) are compared.

Overview: Projected Warming Trend for the Region

The INCREASE of average daily maximum surface temperature (by year, in degrees Celsius)

across Australia from 2000 (historical hindcast) to 2100 (projected), based on the CSIRO-

MK3.6.0 climate model under a moderate greenhouse gas (GHG) emissions scenario known

as Representative Concentration Pathway – RCP4.5. (Data source: NASA NEX-GDDP, 2015)


CSIRO-MK3.6.0: Average Daily Max Temperature (by year)

CSIRO-MK3.6.0: Average Daily Min Temperature (by year)

CSIRO-MK3.6.0 climate model is developed by CSIRO Marine and Atmospheric Research (Melbourne, Australia)

in collaboration with the Queensland Climate Change Centre of Excellence (Brisbane, Australia).

20

21

22

23

24

25

26

27

28

29

30

Aver

age

Daily

Max

imum

Sur

face

Tem

pera

ture

1950 1960 1970 1980 1990 2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100

Year

Historical (Modelled, i.e. hindcast)Scenario RCP4.5 (GHG emissions stabilised, i.e. peak around 2040 then decline) & trend lineScenario RCP8.5 (GHG emissions kept increasing over time, business-as-usual) & trend line

Climate model: CSIRO-MK3.6.0

For location within ~12.5 km of longitude & latitude (150.625, -33.625), projected increase ofaverage daily Max surface temperature (by year) from 2006 to 2100:under Scenario RCP4.5: +3.4 °Cunder Scenario RCP8.5: +5.2 °C

9.5

10.0

10.5

11.0

11.5

12.0

12.5

13.0

13.5

14.0

14.5

15.0

15.5

16.0

16.5

17.0

Aver

age

Daily

Min

imum

Sur

face

Tem

pera

ture

1950 1960 1970 1980 1990 2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100

Year



For location within ~12.5 km of longitude & latitude (150.625, -33.625), projected increase ofaverage daily Min surface temperature (by year) from 2006 to 2100:under Scenario RCP4.5: +2.4 °Cunder Scenario RCP8.5: +4.8 °C


CSIRO-MK3.6.0: Average Daily Max Temperature (by December)

CSIRO-MK3.6.0: Average Daily Min Temperature (by December)

CSIRO-MK3.6.0 climate model is developed by CSIRO Marine and Atmospheric Research (Melbourne, Australia)

in collaboration with the Queensland Climate Change Centre of Excellence (Brisbane, Australia).

23

24

25

26

27

28

29

30

31

32

33

34

35

36

Aver

age

Daily

Max

imum

Sur

face

Tem

pera

ture

1950 1960 1970 1980 1990 2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100

Year



For location within ~12.5 km of longitude & latitude (150.625, -33.625), projected increase ofaverage daily Max surface temperature (by month, December) from 2006 to 2100:under Scenario RCP4.5: +5.3 °Cunder Scenario RCP8.5: +6.0 °C

12

13

14

15

16

17

18

19

20

21

22

23

Aver

age

Daily

Min

imum

Sur

face

Tem

pera

ture

1950 1960 1970 1980 1990 2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100

Year



For location within ~12.5 km of longitude & latitude (150.625, -33.625), projected increase ofaverage daily Min surface temperature (by month, December) from 2006 to 2100:under Scenario RCP4.5: +4.3 °Cunder Scenario RCP8.5: +5.3 °C


Estimating Exposure at Risk from Multiple Perspectives(Analysis based on 02/2018 Geocoded National Address File)

A1: All Addresses, All Directions

Distance (m) 100 200 300 400 500 600 700 800 900 1000

Absolute # 25 62 62 43 59 115 111 169 209 154

Cumulative # 25 87 149 192 251 366 477 646 855 1,009

Distance (km) 1 2 3 4 5 6 7 8 9 10

Absolute # 1,009 3,531 4,455 3,305 6,432 11,993 16,963 14,767 19,450 17,524

Cumulative # 1,009 4,540 8,995 12,300 18,732 30,725 47,688 62,455 81,905 99,429

0

20

40

60

80

100

120

140

160

180

200

220

240

Abs

olut

e N

umbe

r of A

ddre

sses

0

100

200

300400

500

600

700

800

9001,000

1,100

1,200

Cum

ulat

ive

Num

ber o

f Add

ress

es

100 200 300 400 500 600 700 800 900 1000

Distance to the site (m)

G-NAF: All Addresses

0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

18,000

20,000

22,000

Abs

olut

e N

umbe

r of A

ddre

sses

0

10,000

20,000

30,00040,000

50,000

60,000

70,000

80,000

90,000100,000

110,000

120,000

Cum

ulat

ive

Num

ber o

f Add

ress

es

1 2 3 4 5 6 7 8 9 10

Distance to the site (km)


1km

10km


A2: All Addresses, Four Sections / Quadrants

Distance (m) 100 200 300 400 500 600 700 800 900 1000

# N-E 0 0 2 2 5 8 9 12 16 27

# S-E 16 38 38 38 38 40 53 56 71 87

# S-W 9 49 109 152 208 318 411 565 744 863

# N-W 0 0 0 0 0 0 4 13 24 32

Distance (km) 1 2 3 4 5 6 7 8 9 10

# N-E 27 160 390 608 917 1,477 2,413 3,074 5,355 6,515

# S-E 87 1,595 3,466 4,317 7,514 11,818 19,040 25,008 34,937 45,220

# S-W 863 2,604 4,771 6,789 9,455 16,409 24,982 32,792 39,568 45,217

# N-W 32 181 368 586 846 1,021 1,253 1,581 2,045 2,477

0

100

200

300

400

500

600

700

800

900

1,000C

umul

ativ

e N

umbe

r of A

ddre

sses

100 200 300 400 500 600 700 800 900 1000


N-E S-E S-W N-W


0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

45,000

50,000

55,000

Cum

ulat

ive

Num

ber o

f Add

ress

es

1 2 3 4 5 6 7 8 9 10


N-E S-E S-W N-W


1km

10km


A3: All Addresses, Directional Impact Areas

Distance (m) 100 200 300 400 500 600 700 800 900 1000

Absolute # 25 43 60 43 56 110 100 165 200 138

Cumulative # 25 68 128 171 227 337 437 602 802 940

Distance (km) 1 2 3 4 5 6 7 8 9 10

Absolute # 940 2,126 2,600 2,448 3,650 8,778 10,342 8,873 6,944 5,855

Cumulative # 940 3,066 5,666 8,114 11,764 20,542 30,884 39,757 46,701 52,556

0

20

40

60

80

100

120

140

160

180

200

220

240

Abs

olut

e N

umbe

r of A

ddre

sses

0

100

200

300

400

500

600

700

800

900

1,000

1,100C

umul

ativ

e N

umbe

r of A

ddre

sses

100 200 300 400 500 600 700 800 900 1000


G-NAF: All AddressesPotential impact areas with angles [170, 280]

0

1,000

2,000

3,000

4,000

5,000

6,000

7,000

8,000

9,000

10,000

11,000

12,000

Abs

olut

e N

umbe

r of A

ddre

sses

0

5,000

10,000

15,00020,000

25,000

30,000

35,000

40,000

45,00050,000

55,000

60,000

Cum

ulat

ive

Num

ber o

f Add

ress

es

1 2 3 4 5 6 7 8 9 10


G-NAF: All AddressesPotential impact areas with angles [170, 280]

1km

10km

N

E

S

W


B1: Residential Addresses Only, All Directions

Distance (m) 100 200 300 400 500 600 700 800 900 1000

Absolute # 25 43 59 42 51 103 93 139 195 138

Cumulative # 25 68 127 169 220 323 416 555 750 888

Distance (km) 1 2 3 4 5 6 7 8 9 10

Absolute # 888 3,225 3,859 2,503 4,548 8,118 14,265 11,262 15,170 15,878

Cumulative # 888 4,113 7,972 10,475 15,023 23,141 37,406 48,668 63,838 79,716

0

20

40

60

80

100

120

140

160

180

200

220

Abs

olut

e N

umbe

r of A

ddre

sses

0

100

200

300

400

500

600

700

800

900

1,000C

umul

ativ

e N

umbe

r of A

ddre

sses

100 200 300 400 500 600 700 800 900 1000


G-NAF: Residential Addresses Only

0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

18,000

Abs

olut

e N

umbe

r of A

ddre

sses

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

Cum

ulat

ive

Num

ber o

f Add

ress

es

1 2 3 4 5 6 7 8 9 10



1km

10km


B2: Residential Addresses Only, Four Sections / Quadrants

Distance (m) 100 200 300 400 500 600 700 800 900 1000

# N-E 0 0 0 0 0 0 0 0 0 0

# S-E 16 19 19 19 19 19 19 21 32 43

# S-W 9 49 108 150 201 304 393 521 695 814

# N-W 0 0 0 0 0 0 4 13 23 31

Distance (km) 1 2 3 4 5 6 7 8 9 10

# N-E 0 0 0 0 0 0 253 289 465 1,072

# S-E 43 1,490 3,274 3,917 6,478 10,428 16,425 21,215 29,829 39,519

# S-W 814 2,521 4,583 6,443 8,430 12,562 20,474 26,747 32,842 38,174

# N-W 31 102 115 115 115 151 254 417 702 951

0

100

200

300

400

500

600

700

800

900

1,000C

umul

ativ

e N

umbe

r of A

ddre

sses

100 200 300 400 500 600 700 800 900 1000


N-E S-E S-W N-W


0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

45,000

Cum

ulat

ive

Num

ber o

f Add

ress

es

1 2 3 4 5 6 7 8 9 10


N-E S-E S-W N-W


1km

10km


B3: Residential Addresses Only, Directional Impact Areas

Distance (m) 100 200 300 400 500 600 700 800 900 1000

Absolute # 25 43 59 42 51 103 93 139 195 138

Cumulative # 25 68 127 169 220 323 416 555 750 888

Distance (km) 1 2 3 4 5 6 7 8 9 10

Absolute # 888 2,087 2,491 2,279 2,963 5,927 9,602 6,609 6,170 5,385

Cumulative # 888 2,975 5,466 7,745 10,708 16,635 26,237 32,846 39,016 44,401

0

20

40

60

80

100

120

140

160

180

200

220

Abs

olut

e N

umbe

r of A

ddre

sses

0

100

200

300

400

500

600

700

800

900

1,000C

umul

ativ

e N

umbe

r of A

ddre

sses

100 200 300 400 500 600 700 800 900 1000


G-NAF: Residential Addresses OnlyPotential impact areas with angles [170, 280]

0

1,000

2,000

3,000

4,000

5,000

6,000

7,000

8,000

9,000

10,000

11,000

Abs

olut

e N

umbe

r of A

ddre

sses

0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

45,000

50,000

Cum

ulat

ive

Num

ber o

f Add

ress

es

1 2 3 4 5 6 7 8 9 10


G-NAF: Residential Addresses OnlyPotential impact areas with angles [170, 280]

1km

10km

N

E

S

W


C1: Commercial Addresses Only, All Directions

Distance (m) 100 200 300 400 500 600 700 800 900 1000

Absolute # 0 0 0 0 0 0 0 0 0 0

Cumulative # 0 0 0 0 0 0 0 0 0 0

Distance (km) 1 2 3 4 5 6 7 8 9 10

Absolute # 0 0 0 0 5 2,253 626 69 684 127

Cumulative # 0 0 0 0 5 2,258 2,884 2,953 3,637 3,764

0

10

20

30

40

50

60

70

80

90

100

110

120

Abs

olut

e N

umbe

r of A

ddre

sses

0

10

20

3040

50

60

70

80

90100

110

120C

umul

ativ

e N

umbe

r of A

ddre

sses

100 200 300 400 500 600 700 800 900 1000


G-NAF: Commercial Addresses Only

0

500

1,000

1,500

2,000

2,500

3,000

Abs

olut

e N

umbe

r of A

ddre

sses

0

500

1,000

1,500

2,000

2,500

3,000

3,500

4,000

4,500

Cum

ulat

ive

Num

ber o

f Add

ress

es

1 2 3 4 5 6 7 8 9 10



1km

10km


C2: Commercial Addresses Only, Four Sections / Quadrants

Distance (m) 100 200 300 400 500 600 700 800 900 1000

# N-E 0 0 0 0 0 0 0 0 0 0

# S-E 0 0 0 0 0 0 0 0 0 0

# S-W 0 0 0 0 0 0 0 0 0 0

# N-W 0 0 0 0 0 0 0 0 0 0

Distance (km) 1 2 3 4 5 6 7 8 9 10

# N-E 0 0 0 0 0 0 0 0 0 0

# S-E 0 0 0 0 5 17 312 381 1,065 1,192

# S-W 0 0 0 0 0 2,241 2,572 2,572 2,572 2,572

# N-W 0 0 0 0 0 0 0 0 0 0

0

10

20

3040

50

60

70

80

90100

110

120C

umul

ativ

e N

umbe

r of A

ddre

sses

100 200 300 400 500 600 700 800 900 1000


N-E S-E S-W N-W


0

500

1,000

1,500

2,000

2,500

3,000

Cum

ulat

ive

Num

ber o

f Add

ress

es

1 2 3 4 5 6 7 8 9 10


N-E S-E S-W N-W


1km

10km


C3: Commercial Addresses Only, Directional Impact Areas

Distance (m) 100 200 300 400 500 600 700 800 900 1000

Absolute # 0 0 0 0 0 0 0 0 0 0

Cumulative # 0 0 0 0 0 0 0 0 0 0

Distance (km) 1 2 3 4 5 6 7 8 9 10

Absolute # 0 0 0 0 0 2,241 331 0 0 0

Cumulative # 0 0 0 0 0 2,241 2,572 2,572 2,572 2,572

0

10

20

30

40

50

60

70

80

90

100

110

120

Abs

olut

e N

umbe

r of A

ddre

sses

0

10

20

3040

50

60

70

80

90100

110

120C

umul

ativ

e N

umbe

r of A

ddre

sses

100 200 300 400 500 600 700 800 900 1000


G-NAF: Commercial Addresses OnlyPotential impact areas with angles [170, 280]

0

500

1,000

1,500

2,000

2,500

Abs

olut

e N

umbe

r of A

ddre

sses

0

500

1,000

1,500

2,000

2,500

3,000

Cum

ulat

ive

Num

ber o

f Add

ress

es

1 2 3 4 5 6 7 8 9 10


G-NAF: Commercial Addresses OnlyPotential impact areas with angles [170, 280]

1km

10km

N

E

S

W


D1: Industrial Addresses Only, All Directions

Distance (m) 100 200 300 400 500 600 700 800 900 1000

Absolute # 0 0 0 0 0 0 0 0 0 0

Cumulative # 0 0 0 0 0 0 0 0 0 0

Distance (km) 1 2 3 4 5 6 7 8 9 10

Absolute # 0 0 0 124 637 501 776 1,304 461 88

Cumulative # 0 0 0 124 761 1,262 2,038 3,342 3,803 3,891

0

10

20

30

40

50

60

70

80

90

100

110

120

Abs

olut

e N

umbe

r of A

ddre

sses

0

10

20

3040

50

60

70

80

90100

110

120C

umul

ativ

e N

umbe

r of A

ddre

sses

100 200 300 400 500 600 700 800 900 1000


G-NAF: Industrial Addresses Only

0

200

400

600

800

1,000

1,200

1,400

1,600

Abs

olut

e N

umbe

r of A

ddre

sses

0

500

1,000

1,500

2,000

2,500

3,000

3,500

4,000

4,500

Cum

ulat

ive

Num

ber o

f Add

ress

es

1 2 3 4 5 6 7 8 9 10



1km

10km


D2: Industrial Addresses Only, Four Sections / Quadrants

Distance (m) 100 200 300 400 500 600 700 800 900 1000

# N-E 0 0 0 0 0 0 0 0 0 0

# S-E 0 0 0 0 0 0 0 0 0 0

# S-W 0 0 0 0 0 0 0 0 0 0

# N-W 0 0 0 0 0 0 0 0 0 0

Distance (km) 1 2 3 4 5 6 7 8 9 10

# N-E 0 0 0 0 0 0 0 0 0 0

# S-E 0 0 0 0 0 153 804 1,041 1,316 1,404

# S-W 0 0 0 124 761 1,109 1,234 2,301 2,487 2,487

# N-W 0 0 0 0 0 0 0 0 0 0

0

10

20

3040

50

60

70

80

90100

110

120C

umul

ativ

e N

umbe

r of A

ddre

sses

100 200 300 400 500 600 700 800 900 1000


N-E S-E S-W N-W


0

500

1,000

1,500

2,000

2,500

3,000

Cum

ulat

ive

Num

ber o

f Add

ress

es

1 2 3 4 5 6 7 8 9 10


N-E S-E S-W N-W


1km

10km


D3: Industrial Addresses Only, Directional Impact Areas

Distance (m) 100 200 300 400 500 600 700 800 900 1000

Absolute # 0 0 0 0 0 0 0 0 0 0

Cumulative # 0 0 0 0 0 0 0 0 0 0

Distance (km) 1 2 3 4 5 6 7 8 9 10

Absolute # 0 0 0 124 637 353 173 1,067 186 0

Cumulative # 0 0 0 124 761 1,114 1,287 2,354 2,540 2,540

0

10

20

30

40

50

60

70

80

90

100

110

120

Abs

olut

e N

umbe

r of A

ddre

sses

0

10

20

3040

50

60

70

80

90100

110

120C

umul

ativ

e N

umbe

r of A

ddre

sses

100 200 300 400 500 600 700 800 900 1000


G-NAF: Industrial Addresses OnlyPotential impact areas with angles [170, 280]

0

100

200

300

400

500

600

700

800

900

1,000

1,100

1,200

Abs

olut

e N

umbe

r of A

ddre

sses

0

500

1,000

1,500

2,000

2,500

3,000

Cum

ulat

ive

Num

ber o

f Add

ress

es

1 2 3 4 5 6 7 8 9 10


G-NAF: Industrial Addresses OnlyPotential impact areas with angles [170, 280]

1km

10km

N

E

S

W


E1: All Primary Production Addresses, All Directions

Distance (m) 100 200 300 400 500 600 700 800 900 1000

Absolute # 0 0 0 0 0 0 0 0 0 13

Cumulative # 0 0 0 0 0 0 0 0 0 13

Distance (km) 1 2 3 4 5 6 7 8 9 10

Absolute # 13 192 323 341 322 443 754 1,473 2,423 856

Cumulative # 13 205 528 869 1,191 1,634 2,388 3,861 6,284 7,140

0

2

4

6

8

10

12

14

16

Abs

olut

e N

umbe

r of A

ddre

sses

0

2

4

6

8

10

12

14

16C

umul

ativ

e N

umbe

r of A

ddre

sses

100 200 300 400 500 600 700 800 900 1000


G-NAF: Primary Production Addresses Only

0

500

1,000

1,500

2,000

2,500

3,000

Abs

olut

e N

umbe

r of A

ddre

sses

0

1,000

2,000

3,000

4,000

5,000

6,000

7,000

8,000

Cum

ulat

ive

Num

ber o

f Add

ress

es

1 2 3 4 5 6 7 8 9 10



1km

10km


E2: All Primary Production Addresses, Four Sections / Quadrants

Distance (m) 100 200 300 400 500 600 700 800 900 1000

# N-E 0 0 0 0 0 0 0 0 0 11

# S-E 0 0 0 0 0 0 0 0 0 2

# S-W 0 0 0 0 0 0 0 0 0 0

# N-W 0 0 0 0 0 0 0 0 0 0

Distance (km) 1 2 3 4 5 6 7 8 9 10

# N-E 11 113 294 446 602 918 1,571 2,095 4,008 4,301

# S-E 2 60 147 218 276 336 336 980 1,162 1,464

# S-W 0 0 0 0 0 0 0 214 489 636

# N-W 0 32 87 205 313 380 481 572 625 739

0

2

4

6

8

10

12

14C

umul

ativ

e N

umbe

r of A

ddre

sses

100 200 300 400 500 600 700 800 900 1000


N-E S-E S-W N-W


0

500

1,000

1,500

2,000

2,500

3,000

3,500

4,000

4,500

5,000

Cum

ulat

ive

Num

ber o

f Add

ress

es

1 2 3 4 5 6 7 8 9 10


N-E S-E S-W N-W


1km

10km


E3: All Primary Production Addresses, Directional Impact Areas

Distance (m) 100 200 300 400 500 600 700 800 900 1000

Absolute # 0 0 0 0 0 0 0 0 0 0

Cumulative # 0 0 0 0 0 0 0 0 0 0

Distance (km) 1 2 3 4 5 6 7 8 9 10

Absolute # 0 0 0 0 0 0 0 798 364 298

Cumulative # 0 0 0 0 0 0 0 798 1,162 1,460

0

10

20

30

40

50

60

70

80

90

100

110

120

Abs

olut

e N

umbe

r of A

ddre

sses

0

10

20

3040

50

60

70

80

90100

110

120C

umul

ativ

e N

umbe

r of A

ddre

sses

100 200 300 400 500 600 700 800 900 1000


G-NAF: Primary Production Addresses OnlyPotential impact areas with angles [170, 280]

0

100

200

300

400

500

600

700

800

900

Abs

olut

e N

umbe

r of A

ddre

sses

0

200

400

600

800

1,000

1,200

1,400

1,600

1,800

Cum

ulat

ive

Num

ber o

f Add

ress

es

1 2 3 4 5 6 7 8 9 10


G-NAF: Primary Production Addresses OnlyPotential impact areas with angles [170, 280]

1km

10km

N

E

S

W


F1: All Non-Residential Addresses, All Directions

Distance (m) 100 200 300 400 500 600 700 800 900 1000

Absolute # 0 19 3 1 8 12 18 30 14 16

Cumulative # 0 19 22 23 31 43 61 91 105 121

Distance (km) 1 2 3 4 5 6 7 8 9 10

Absolute # 121 306 596 802 1,884 3,875 2,698 3,505 4,280 1,646

Cumulative # 121 427 1,023 1,825 3,709 7,584 10,282 13,787 18,067 19,713

0

5

10

15

20

25

30

35

Abs

olut

e N

umbe

r of A

ddre

sses

0

20

40

60

80

100

120

140C

umul

ativ

e N

umbe

r of A

ddre

sses

100 200 300 400 500 600 700 800 900 1000


G-NAF: All Non-Residential Addresses

0

500

1,000

1,500

2,000

2,500

3,000

3,500

4,000

4,500

5,000

Abs

olut

e N

umbe

r of A

ddre

sses

0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

18,000

20,000

22,000

Cum

ulat

ive

Num

ber o

f Add

ress

es

1 2 3 4 5 6 7 8 9 10



1km

10km


F2: All Non-Residential Addresses, Four Sections / Quadrants

Distance (m) 100 200 300 400 500 600 700 800 900 1000

# N-E 0 0 2 2 5 8 9 12 16 27

# S-E 0 19 19 19 19 21 34 35 39 44

# S-W 0 0 1 2 7 14 18 44 49 49

# N-W 0 0 0 0 0 0 0 0 1 1

Distance (km) 1 2 3 4 5 6 7 8 9 10

# N-E 27 160 390 608 917 1,477 2,160 2,785 4,890 5,443

# S-E 44 105 192 400 1,036 1,390 2,615 3,793 5,108 5,701

# S-W 49 83 188 346 1,025 3,847 4,508 6,045 6,726 7,043

# N-W 1 79 253 471 731 870 999 1,164 1,343 1,526

0

5

10

15

20

25

30

35

40

45

50

55C

umul

ativ

e N

umbe

r of A

ddre

sses

100 200 300 400 500 600 700 800 900 1000


N-E S-E S-W N-W


0

1,000

2,000

3,000

4,000

5,000

6,000

7,000

8,000

Cum

ulat

ive

Num

ber o

f Add

ress

es

1 2 3 4 5 6 7 8 9 10


N-E S-E S-W N-W


1km

10km


F3: All Non-Residential Addresses, Directional Impact Areas

Distance (m) 100 200 300 400 500 600 700 800 900 1000

Absolute # 0 0 1 1 5 7 7 26 5 0

Cumulative # 0 0 1 2 7 14 21 47 52 52

Distance (km) 1 2 3 4 5 6 7 8 9 10

Absolute # 52 39 109 169 687 2,851 740 2,264 774 470

Cumulative # 52 91 200 369 1,056 3,907 4,647 6,911 7,685 8,155

0

5

10

15

20

25

30

Abs

olut

e N

umbe

r of A

ddre

sses

0

5

10

1520

25

30

35

40

4550

55

60C

umul

ativ

e N

umbe

r of A

ddre

sses

100 200 300 400 500 600 700 800 900 1000


G-NAF: All Non-Residential AddressesPotential impact areas with angles [170, 280]

0

500

1,000

1,500

2,000

2,500

3,000

3,500

Abs

olut

e N

umbe

r of A

ddre

sses

0

1,000

2,000

3,000

4,000

5,000

6,000

7,000

8,000

9,000

10,000

Cum

ulat

ive

Num

ber o

f Add

ress

es

1 2 3 4 5 6 7 8 9 10


G-NAF: All Non-Residential AddressesPotential impact areas with angles [170, 280]

1km

10km

N

E

S

W


Population & Housing - Postcode Profile

This part contains postcode-level data from Australian Bureau of Statistics (ABS) 2016

& 2011 Census of Population and Housing. Detailed postcode profiles and their

changes on socioeconomic background, including demographics, housing, income,

employment and education, are included. For some selected medians from the most

recent 2016 census, the ranking across ALL national postcodes is made.

Postcode 2749: Selected Medians and Averages

Median age of persons: 32 years (national median: 42)

Median total personal income ($/weekly): 779 (national rank: top 18.7 percentile)

Median total family income ($/weekly): 2,004 (national rank: top 20.2 percentile)

Median total household income ($/weekly): 1,875 (national rank: top 13.1 percentile)

Median mortgage repayment ($/monthly): 2,000 (national rank: top 17.8 percentile)

Median rent ($/weekly): 380 (national rank: top 16.3 percentile)

Average number of persons per bedroom: 0.9 (national average: 0.8)

Average household size (number of persons): 3 (national average: 2.5)

Report Creator: https://www.PropertyLocation.com.au ([email protected])

Report Date: Friday, April 13, 2018

Report Version: V4.30


Demographics - Age Groups 2016 vs 2011

8.28%14.58%

7.40%

7.52%15.79%

13.57%13.35%

11.09%

5.52%2.31%

0.58%

0 2 4 6 8 10 12 14 16 18

Percent %

0-4 years5-14 years

15-19 years

20-24 years25-34 years35-44 years45-54 years55-64 years

65-74 years75-84 years

85 years & over

Data source: ABS 2016 Census

Population: Age Groups(Postcode: 2749; Count of persons: 16,930)

8.14%16.31%

8.14%

8.34%14.27%

14.84%14.34%

9.43%

4.18%1.62%

0.39%

0 5 10 15 20

Percent %

0-4 years5-14 years

15-19 years

20-24 years25-34 years35-44 years45-54 years55-64 years

65-74 years75-84 years

85 years & over


Population: Age Groups(Postcode: 2749; Count of persons: 15,773)

2016

2011


Demographics - Country of Birth 2016 vs 2011

Australia (79.37%)England (3.44%)New Zealand (1.57%)Philippines (0.76%)Malta (0.71%)Others (14.14%)

Data source: ABS 2016 CensusOthers: born elsewhere & country of birth not stated

Population: Country of Birth (Postcode: 2749; Count of persons: 16,926)

Australia (80.78%)U.K., Channel Is. & Isle of Man (4.88%)New Zealand (1.48%)Malta (0.80%)Philippines (0.58%)Others (11.48%)

Data source: ABS 2011 CensusOthers: born elsewhere & country of birth not stated

Population: Country of Birth (Postcode: 2749; Count of persons: 15,772)

2016

2011


Housing - Dwelling Structure 2016 vs 2011

Separate house (89.80%)Semi-detached, row or terracehouse, townhouse etc. (9.54%)Not stated (0.42%)Other dwelling (0.17%)Flat, unit or apartment (0.08%)


Housing: Dwelling Structure (Postcode: 2749; Count of occupied private dwellings: 5,257)

Separate house (93.23%)Semi-detached, row or terracehouse, townhouse etc. (6.57%)Flat, unit or apartment (0.14%)Other dwelling (0.06%)Not stated (0.00%)


Housing: Dwelling Structure (Postcode: 2749; Count of occupied private dwellings: 4,961)

2016

2011


Housing - Tenure Type and Landlord Type 2016 vs 2011

Owned with a mortgage (49.29%)Rented (25.86%)Owned outright (22.42%)Tenure type not stated (1.98%)Other tenure type (0.46%)


Housing: Tenure Type and Landlord Type (Postcode: 2749; Count of occupied private dwellings: 5,257)

Owned with a mortgage (53.13%)Rented (24.31%)Owned outright (20.68%)Tenure type not stated (1.53%)Other tenure type (0.34%)


Housing: Tenure Type and Landlord Type (Postcode: 2749; Count of occupied private dwellings: 4,961)

2016

2011


Income - Total Family Income 2016 vs 2011

0.84%0.24%

0.95%0.80%

2.62%2.34%

4.96%4.48%

6.69%6.71%6.80%

7.27%16.24%

10.98%6.52%

4.16%7.43%

8.34%1.41%

0 5 10 15 20

Percent %

Negative/Nil income$1-$149

$150-$299$300-$399$400-$499$500-$649$650-$799$800-$999

$1,000-$1,249$1,250-$1,499$1,500-$1,749$1,750-$1,999$2,000-$2,499$2,500-$2,999$3,000-$3,499$3,500-$3,999

$4,000 or morePartial income stated

All incomes not stated


Total Family Income (weekly)(Postcode: 2749; Count of families in family households: 4,619)

0.48%0.87%0.85%

1.82%7.70%

6.69%6.07%

7.54%7.77%

15.38%14.11%

8.05%5.95%

2.30%3.26%

9.38%1.77%

0 2 4 6 8 10 12 14 16 18

Percent %


$200-$299$300-$399$400-$599$600-$799$800-$999

$1,000-$1,249$1,250-$1,499$1,500-$1,999$2,000-$2,499$2,500-$2,999$3,000-$3,499$3,500-$3,999

$4,000 or morePartial income stated

All incomes not stated


Total Family Income (weekly)(Postcode: 2749; Count of families in family households: 4,350)

2016

2011


Income - Total Personal Income 2016 vs 2011

9.24%4.12%

5.84%7.22%

6.84%6.30%

7.71%9.41%

11.28%7.57%

6.05%4.03%

5.13%1.75%

7.50%

0 2 4 6 8 10 12 14

Percent %


$150-$299$300-$399$400-$499$500-$649$650-$799$800-$999

$1,000-$1,249$1,250-$1,499$1,500-$1,749$1,750-$1,999$2,000-$2,999

$3,000 or morePersonal income not stated


Total Personal Income (weekly)(Postcode: 2749; Count of persons aged 15 years and over: 13,055)

8.31%7.69%

8.70%7.90%

11.00%12.29%

10.09%9.70%

6.92%7.17%

4.10%6.14%

0 2 4 6 8 10 12 14

Percent %


$200-$299$300-$399$400-$599$600-$799$800-$999

$1,000-$1,249$1,250-$1,499$1,500-$1,999

$2,000 or morePersonal income not stated


Total Personal Income (weekly)(Postcode: 2749; Count of persons aged 15 years and over: 11,913)

2016

2011


Employment - Industry of Employment 2016 vs 2011

0.81%0.28%

7.85%1.34%

12.05%3.59%

11.07%5.62%

6.20%1.20%

4.37%1.60%

4.36%3.20%

7.29%7.97%

10.21%1.67%

3.94%5.31%

0 2 4 6 8 10 12 14

Percent %

Agriculture, forestry & fishingMining

ManufacturingElectricity, gas, water & waste services

ConstructionWholesale trade

Retail tradeAccommodation & food servicesTransport, postal & warehousing

Information media & telecommunicationsFinancial & insurance services

Rental, hiring & real estate servicesProfessional, scientific & technical services

Administrative & support servicesPublic administration & safety

Education & trainingHealth care & social assistance

Arts & recreation servicesOther services

Inadequately described/Not stated


Industry of Employment(Postcode: 2749; Count of employed persons aged 15 years & over: 8,599)

0.73%0.21%

11.60%1.46%

9.95%4.81%

11.48%5.37%

6.96%1.30%

4.01%1.48%

4.29%2.96%

7.99%6.99%

10.09%1.28%

4.59%2.45%

0 2 4 6 8 10 12 14

Percent %

Agriculture, forestry & fishingMining

ManufacturingElectricity, gas, water & waste services

ConstructionWholesale trade

Retail tradeAccommodation & food servicesTransport, postal & warehousing

Information media & telecommunicationsFinancial & insurance services

Rental, hiring & real estate servicesProfessional, scientific & technical services

Administrative & support servicesPublic administration & safety

Education & trainingHealth care & social assistance

Arts & recreation servicesOther services



Industry of Employment(Postcode: 2749; Count of employed persons aged 15 years & over: 7,950)

2016

2011


Employment - Occupation 2016 vs 2011

10.75%

14.92%

15.71%

9.90%

17.84%

10.08%

9.72%

9.29%

1.67%

0 5 10 15 20

Percent %

Managers

Professionals

Technicians & trades workers

Community & personal service workers

Clerical & administrative workers

Sales workers

Machinery operators & drivers

Labourers



Occupation(Postcode: 2749; Count of employed persons aged 15 years & over: 8,599)

10.60%

13.37%

16.70%

10.08%

18.75%

10.09%

9.55%

9.18%

1.67%

0 5 10 15 20 25

Percent %

Managers

Professionals

Technicians & trades workers

Community & personal service workers

Clerical & administrative workers

Sales workers

Machinery operators & drivers

Labourers



Occupation(Postcode: 2749; Count of employed persons aged 15 years & over: 7,950)

2016

2011


Education - Level of Education 2016 vs 2011

Certificate Level (46.08%)Bachelor Degree Level (16.88%)Advanced Diploma & Diploma Level (16.11%)Level of education not stated (13.24%)Postgraduate Degree Level (4.32%)Graduate Diploma & Graduate Certificate Level(1.97%)Level of education inadequately described (1.41%)


Level of Education (Postcode: 2749; Count of persons aged 15 years and over with a qualification: 7,178)

Certificate Level (48.08%)Advanced Diploma & Diploma Level (14.94%)Bachelor Degree Level (14.94%)Level of education not stated (13.88%)Level of education inadequately described (3.80%)Postgraduate Degree Level (2.77%)Graduate Diploma & Graduate Certificate Level(1.59%)


Level of Education (Postcode: 2749; Count of persons aged 15 years and over with a qualification: 6,025)

2016

2011


Time Series Profiles

At LGA Level: Population & Age Groups

7.38%7.60%7.48%

13.67%14.09%

15.49%

6.65%7.33%

7.80%

7.20%7.45%

7.82%

15.45%14.74%14.97%

14.00%14.15%

14.43%

12.62%13.62%

14.00%

11.33%11.40%

9.85%

7.38%5.75%

4.53%

3.13%2.79%2.79%

1.18%1.06%

0.83%

0 2 4 6 8 10 12 14 16 18Population Percentage (%) of Various Age Groups

0-4 years

5-14 years

15-19 years

20-24 years

25-34 years

35-44 years

45-54 years

55-64 years

65-74 years

75-84 years

85 years & over

Data source: ABS 2016 Census, DataPacks 07/2017

LGA: Penrith (C), New South Wales, AustraliaPopulation Counts and Age Groups

172,141

178,465

196,066

165,000

170,000

175,000

180,000

185,000

190,000

195,000

200,000

Popu

latio

n Co

unts

2006 Census 2011 Census 2016 Census


At LGA Level: Occupied Private Dwellings

Local Government Area categories: Cities (C), Towns (T), Shires (S), Municipalities (M), Areas (A), Boroughs (B),

District Councils (DC), Aboriginal Councils (AC), Regional Councils (R / RegC), Rural Cities (RC). According to

ABS, data for the Censuses 2011 & 2006 were concorded to the LGA geographical boundaries of Census 2016.

80.55%81.00%

84.77%

12.04%10.92%

8.30%

6.56%7.44%

6.24%

0.47%0.47%0.64%

0.38%0.17%0.05%

0 20 40 60 80 100Percentage (%) of Various Dwelling Structures

Separate house

Semi-detached, rowor terrace house,

townhouse etc.

Flat, unit orapartment

Other dwelling

Not stated


LGA: Penrith (C), New South Wales, AustraliaOccupied Private Dwellings

58,913

61,501

67,066

56,000

58,000

60,000

62,000

64,000

66,000

68,000

70,000

Dwel

ling

Coun

ts


24.78%25.97%26.52%

38.77%42.37%

41.82%

28.83%26.00%25.94%

0.47%0.47%0.42%

7.15%5.19%5.30%

0 10 20 30 40 50Percentage (%) of Various Tenure Types

Owned outright

Owned with amortgage

Rented

Other tenure type

Not stated


At SA Level 2: Population & Age Groups

Statistical Area Level 2 (SA2) groups communities with similar social and economic characteristics. Within cities,

SA2s often represent single suburbs (as shown by SA2 names). Nationally, the total number of SA2s units (~2,300)

is close to that of postcodes (~2,600).

9.15%8.01%

8.70%

14.45%16.37%

18.45%

6.89%8.08%

9.00%

7.50%8.14%

6.83%

17.79%14.03%

15.85%

14.43%14.81%

15.28%

12.03%14.13%

13.50%

9.82%9.80%

7.42%

5.31%4.44%

3.31%

2.10%1.80%

1.35%

0.52%0.40%0.29%

0 5 10 15 20 25Population Percentage (%) of Various Age Groups

0-4 years

5-14 years

15-19 years

20-24 years

25-34 years

35-44 years

45-54 years

55-64 years

65-74 years

75-84 years

85 years & over


SA2: Castlereagh - Cranebrook, New South Wales, AustraliaPopulation Counts and Age Groups

15,666 17,372

23,720

0

5,000

10,000

15,000

20,000

25,000

30,000

Popu

latio

n Co

unts



At SA Level 2: Occupied Private Dwellings

90.84%93.39%94.62%

7.62%6.28%

5.20%

0.95%0.22%0.10%

0.21%0.11%0.08%

0.38%0.00%0.00%

0 20 40 60 80 100 120Percentage (%) of Various Dwelling Structures

Separate house

Semi-detached, rowor terrace house,

townhouse etc.

Flat, unit orapartment

Other dwelling

Not stated


SA2: Castlereagh - Cranebrook, New South Wales, AustraliaOccupied Private Dwellings

4,968 5,566

7,607

0

2,000

4,000

6,000

8,000

10,000

Dwel

ling

Coun

ts


19.32%21.98%

20.60%

47.10%49.87%

48.59%

27.12%23.38%

25.22%

0.39%0.32%0.32%

6.07%4.45%5.27%

0 10 20 30 40 50 60Percentage (%) of Various Tenure Types

Owned outright

Owned with amortgage

Rented

Other tenure type

Not stated


SEIFA 2016 across 5 Geographic Areas (SA1, SA2, Suburb,

Postcode and LGA) with Varying Population Sizes

The Socio-Economic Indexes for Areas (SEIFA) is a modelled measure by integrating and summarising a wide

range of social and economic attributes about the Australian population in an geographic area. SEIFA consists of

four specific indexes each on slightly different aspects of the socio-economic condition: (1) the Index of Relative

Socio-economic Disadvantage (IRSD); (2) the Index of Relative Socio-economic Advantage and Disadvantage

(IRSAD); (3) the Index of Economic Resources (IER); and (4) the Index of Education and Occupation (IEO). An area

with the highest decile (10, left y-axis) indicates the least disadvantaged, whereas an area with the lowest decile (1)

the most disadvantaged (implying an area has relatively more people with low income, no qualifications or low

skilled occupations). Corresponding SEIFA scores (right y-axis) are also shown; the mean for each index nationwide

is 1,000. For more explanations, please follow ABS website.

Socio-Economic Indexes for Areas (SEIFA), 2016

61,036

5 998

71,047

3

941

9209409609801,0001,0201,0401,0601,080

SEIF

A Sc

ore

0123456789

10

Inde

x De

cile

(Nat

ionw

ide)

Index ofRelative Socio-economic

Disadvantage


Advantage & Disadvantage

Index of Economic Resources

Index ofEducation & Occupation

SA1: ID 1145820; Usual Resident Population: 491

6 1,027 6 1,021

9 1,063

5

966

940

960

980

1,000

1,020

1,040

1,060

1,080

SEIF

A Sc

ore

0123456789

10

Inde

x De

cile

(Nat

ionw

ide)


Disadvantage





SA2: Castlereagh - Cranebrook; Usual Resident Population: 23,720

http://www.abs.gov.au/ausstats/[email protected]/Lookup/by%20Subject/2033.0.55.001~2016~Main%20Features~The%20Indexes~12


SEIFA 2016 (Continued)

6 1,010 6996

6

1,040

4

952

940

960

980

1,000

1,020

1,040

1,060

SEIF

A Sc

ore

0123456789

10

Inde

x De

cile

(Nat

ionw

ide)


Disadvantage





Suburb: Cranebrook; Usual Resident Population: 15,759

6 1,013 6999

81,046

4

953

940

960

980

1,000

1,020

1,040

1,060

SEIF

A Sc

ore

0123456789

10

Inde

x De

cile

(Nat

ionw

ide)


Disadvantage





Postcode: 2749; Usual Resident Population: 16,930

7 999

8

988

9 1,022

5

948

920

940

960

980

1,000

1,020

1,040

SEIF

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ore

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LGA: Penrith (C); Usual Resident Population: 196,066

Data source: ABS 2016 Census, SEIFA 03/2018


Notes1. Slope Classes: Nearly Level (slope <3%, or <1.72 degrees); Gently Sloping (3-8%, or 1.72-4.57 degrees);

Moderately Sloping (8-15%, or 4.57-8.53 degrees); Strongly Sloping (15-25%, or 8.53-14.04 degrees); Steep (25-

35%, or 14.04-19.29 degrees); Very Steep (>35%, or >19.29 degrees).

Acknowledgements of Data Sources

This report contains analyses, maps and charts based on a range of data sources from Australian and international

government agencies:

1. Elevation - Geoscience Australia, Digital Elevation Models from ELVIS Elevation Information System. SRTM

Digital Elevation Model at ~30m resolution was analysed, and for urban and forest areas, the data may represent

the height of buildings and tree canopies.

2. Vegetation - Bushland classified by BigData Earth Pty Ltd using new Landsat-8 or Sentinel-2 imagery.

3. Population and Housing - Australian Bureau of Statistics (ABS) 2016 & 2011 Census, DataPacks.

4. G-NAF - Incorporates or developed using G-NAF ©PSMA Australia Limited licensed by the Commonwealth of

Australia under the Open Geo-coded National Address File (G-NAF) End User Licence Agreement link.

5. Climate - Climate scenarios used were from the NEX-GDDP dataset, prepared by the Climate Analytics Group

and NASA Ames Research Center using the NASA Earth Exchange, and distributed by the NASA Center for

Climate Simulation (NCCS).

6. Map - Hybrid basemap (imagery and roadmap) is accessed from Google Maps with API Key. ©2018 Google.

7. Satellite Imagery - Sentinel-2 imagery from the European Union Copernicus Sentinel Data and Service

Information. The report contains modified Copernicus Sentinel data [2018].

8. Satellite Imagery - Landsat-8 imagery from the NASA and USGS Landsat Program.

Disclaimer

PropertyLocation.com.au and RiskMapping.com.au are brands of BigData Earth Pty Ltd (BigData Earth), and all

data and information products from BigData Earth are subject to this disclaimer. The data and information contained

in this report has been analysed and presented with all due care, however, BigData Earth does not warrant or

represent that the data and information contained herein is free from errors or omissions, or that it is exhaustive.

This report is distributed AS IS, with no warranties of any kind, whether expressed or implied, including without

limitation, the implied warranties of merchantability, fitness for a particular purpose, and non-infringement. No oral or

written information, advices or services given by BigData Earth shall create a warranty or in any way increase the

scope of any warranty provided herein.

This report is based on geospatial big data analytics and image processing, and is not a site assessment with

physical inspections. This report should not be used to replace any ground-based assessment by surveying

professionals. You understand and expressly agree that the use of the report is at your sole risk. Under no

circumstances, including without limitation the negligence of any party, shall BigData Earth be liable for any direct,

indirect, incidental, special, consequential or other damages under any theory of law (including but not limited to,

damages for economic loss, loss of profits, goodwill, revenue and anticipated savings, interruption of business

activity, or loss of business information) arising out of the use or inability to use the report, whether or not such loss

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damages. You agree not to use the report in any state or country that does not allow the exclusion or limitation of

liability for indirect, incidental or consequential damages.

There are references and links to the data sources used. Neither their websites nor the agencies or companies they

belong to are operated or controlled by BigData Earth, and BigData Earth makes no representations about the

information, products and services they have provided. You should research and assess the risks which may be

involved. BigData Earth shall have no liability thereof. BigData Earth reserves the right to vary, without notice, any

information and policy presented.

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