DEMOGRAPHIC SUMMARY

Size: px
Start display at page:

Download "DEMOGRAPHIC SUMMARY"

Transcription

1 MGPHI UMMY Pflugerville Independent chool istrict 1Q14 earn eport from Yesterday Understand oday

2 empleton emographics was engaged to perform demographic research and enrollment projections. ur process involved researching five years of district enrollment data, geo-code student data, review of economic conditions, review of vacant land and housing research. ith our more than 4 years combined experience, we built a very extensive geographic data base. he process creates a detailed analysis of where the students reside and where they attend school. hese patterns, along with economic conditions and research from the housing market, form the basis for the enrollment projections we provide to more than 7 districts throughout the state of exas. 2

3 able of ontents conomic utlook 5 istrict verview 11 Housing Market 17 nrollment Projections Methodology 31 nrollment History 31 thnicity & conomically isadvantaged 31 1 Year Projection otals by Grade evel 33 1 Year Projection otals by ampus 34 ampus evel Maps & Projections ppendix 97 tudent istribution eports ttend Incoming eport eside utgoing eport Planning rea Map & eport istrict omparison Maps thnicity eport by ttend evel Metrostudy Housing nalysis

4 MI UK 5

5 conomic verview he oil and gas boom continues to be a driving force in not only the exas economy but the national economy as well. Between ctober 28 and June 211, exas created 49% of all new jobs in the United tates. he vast majority of those jobs were either directly or indirectly the result of the state s oil and gas boom. exas is home to the two largest producing oil reserves in the nation. irect employment in the oil and gas industry rose 4% from 27 through 213, as compared to a decline of about 3% in the overall U.. economy. ll the new oil production that has come online since 28 has reduced oil imports by about 5%. ower natural gas prices brought about by the boom in supplies of that commodity have attracted a rush to invest in new plant and equipment among industries that use petroleum products as feedstocks. Products like fertilizers, chemicals, plastics, cosmetics and many more. It also adds jobs to the companies that service or sell products to the industry. Investors Business aily points out that more than 1 new plants and factories in a variety of such industries are planned to come online by 217, and hen all are up and running, another $3 billion will be pumped into GP and 1 million more jobs created. he shipping industry has also benefited greatly from this boom. he Port of Houston surpassed the Port of ew York ity to become the largest export market in the U.. midway through 213. he Port of orpus hristi is also seeing rapid activity expansion and is now shipping more than 4, barrels of agle Ford hale oil per day. il Production by ocation

6 ustin M conomic verview nnualized Job reation (34,4 March 214 year over year) -.9% exas il & Gas Production (Fiscal 1Q14 year over year) verage Home Price ($296,64) -15% 3.7% Unemployment (4.4% March 214 year over year) 5% 4% xisting Home Inventory (2.2 Month s upply) ith nearby ustin being named the fastest growing city in the U.., illiamson ounty is enjoying the growth as well. It was recently named the fastest growing county in the nation by Forbes magazine. he population has grown 7.9% since 21. he county has added 7,7 new jobs over the last 12 months and the unemployment rate is down to 4.6% in that same period. hat is a.9% drop from March of 213. In fact, employment is up 73% since 2, the third highest rate of any county in the country. his economic growth in the ustin M has driven the average home price up 5% and dropped the inventory of homes for sale down to only 2.2 months of supply. 1

7 II VVI 11

8 exas nrollment rends 213 tate nrollment otal nrollment otal Growth 14, 12, nrollment hange 8, 6, 4, 85,773 78,644 73,685 5,151,925 5,2, 98,273 1, otal nrollment 5,4, 12,145 5,151,925 76,85 76,85 78,78 64,962 4,998,579 5,, 77,261 4,749,571 4,8, 4,6, 4,4, 2, 4,2, 4,, 4,592,849 4,399,19 4,519,164 5,75,84 4,933,617 4,847,844 4,671,493 13

9 egion 13 nrollment rends ank II eander I ound ock I omal I Hays ons I chertz-ibolo-universal ity I Manor I el Valle I ake ravis I ustin I Pflugerville I Hutto I ripping prings I Bastrop I ew Braunfels I anes I ockhart I iberty Hill I Georgetown I lgin I Jarrell I 28/9 nrollment /14 5-Y hange nrollment (8/9-13/14)

10 HUIG MK 17

11 ew Housing ctivity Pflugerville I Housing ctivity 6 tarts losings Housing Inventory tarts losings Q Q Q Q Q Q Q Q otal otal Q14 had the highest first quarter total since 1Q7 with just under 2 starts 1Q14 closes were more than 5 units higher than 1Q13 Inventory stabilized to a healthier 6 month supply of new homes based on quarter closings 22

12 1Q14 losing istribution op 1 ubdivisions - 1Q14 (anked by nnual losings) ank ubdivision Falcon Pointe estcreek (agle Point) Highland Park outh akes at orthtown ommons at owe ane valon pring rails Villages of Hidden ake Blackhawk tar anch nnual tarts Quarter tarts nnual Quarter losings losings

13 verall Housing ctivity By lementary ttendance Zone nnual tarts Quarter tarts nnual losings Quarter losings ot. Inv. V Future B BKH PPFI IG U HIGH PK MUHI H PM PFUGVI IJ IV K PIG HI IMMM I IM Grand otal ,835 MMY Highest activity in the category econd highest activity in the category hird highest activity in the category 26

14 M YI & PJI 29

15 nrollment nalysis M PJI MHGY empleton emographics uses a detailed methodology in building enrollment projections. First step is to break the district down into small geographic sections called planning areas. hese planning areas are usually established around subdivisions and multifamily areas but major roads and transportation access also play a role in their creation. econd step involves the calculation of housing yields which are calculated from the school district s student data that is carefully geocoded into our mapping software for analysis. hird step involves the review of enrollment history to establish cohort patterns or historical growth rates. Fourth step involves the study of the housing market to forecast new single and multifamily housing units being built within the planning areas established in step one. Fifth step involves review of existing housing to establish regeneration areas based upon the age of the homes. ll of these factors are used to build the ten year enrollment projections at the campus and grade level. M HIY Year (ct.) 29/1 21/11 211/12 212/13 213/14 ther K 1,716 1,656 1,688 1,747 1,671 1st 1,77 1,789 1,746 1,726 1,758 2nd 1,643 1,77 1,816 1,773 1,78 3rd 1,776 1,691 1,788 1,814 1,769 4th 1,634 1,8 1,723 1,84 1,89 5th 1,58 1,677 1,84 1,732 1,775 6th 1,576 1,664 1,697 1,853 1,76 7th 1,628 1,657 1,697 1,72 1,886 8th 1,639 1,694 1,681 1,724 1,74 9th 1,755 1,82 1,7 1,683 1,757 1th 1,618 1,647 1,79 1,684 1,691 11th 1,596 1,548 1,617 1,663 1,687 12th 1,373 1,542 1,576 1,617 1,695 otal 22,6 22,763 23,7 23,347 23,543 Growth Percent % 1.35% 1.2%.84% *Yellow box = largest grade per year *Green box = second largest grade per year U /HIIY MIY IVG Year (ct.) 29/1 otal 22,6 21/11 211/12 212/13 213/14 22,763 23,7 23,347 23,543 merican Black or Indian or frican laska merican % Hispanic % ative % sian % hite 4, % 8, % 68.3% 2,4 9.1% 6,491 HG I /HIIY PIG 4, % 9, % 18.5% 1, % 5,89 4, % 1, % 1.4% 1,83 7.9% 5,768 4, % 1, % 94.4% 1,81 7.7% 5,763 4, % 1, % 87.4% 1, % 5,735 % 29.4% 25.5% 25.% 24.7% 24.4% wo or more races % ative Hawaiian/ ther Pacific Islander % 3.4% 3.4% 3.6% %.1%.1%.2%.2% conomically isadvantaged % 1,83 49.% 11,676 12,159 12,314 12,643 tudent ace/thnicity otals M. II/K IV, 87, % HIPI/I, 1816, 46% I, 1752, 8% BK, 4258, 18% M H 1, 852, 4% HI, 5735, 24% HII/PIFI I, 43, % % 52.7% 52.7% 53.7%

16 PFUGVI IP H II 5 FM 132 IM FM B VI Y PK BKH IJ KY IMMM 13 «PFUGVI I U PPFI FM 35 U 11 M F IV K 97 3 PIG PFUGVI HI PM MUHI HIK IM PFUGVI H «HIGH PK FM FM FM «45 «1 IG FM FM 3349 FM 166 FM GIM BV « «29 Hutto I ound ock I Pflugerville I Manor I ustin I 36 G aylor I lgin I lementary Middle chool High chool Ü I Boundary lternative Miles his product is for informational purposes and may not have been prepared for, or be suitable for legal, engineering, or surveying purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information.

17 MY BUI IG H I BKH IM M M PIG HI H I PM M U I M HIGH PK B IJ PFUGVI U/ IV K PP FI Hutto I ound ock I aylor I Pflugerville I ustin I Manor I G I Boundary lgin I Ü Miles his product is for informational purposes and may not have been prepared for, or be suitable for legal, engineering, or surveying purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information. 37

18 UG F M K I F J Y YG V H V B H V B B K I G H Y P G Parcels lementary Boundary I Boundary 4 lementary Middle chool High chool lternative K I IM B Y B Y H I V I FI I BU H Y H Y P IY H PP K Y P MP U P M U I Y FM BI B P U I V I MIH V V 2 I K Y VI I G KB V K Y K K M P P I K V K V Y G 1 M I G H H 5 H V U H H 6 7 H H 8 1 H H U G H H 12 IB I V K K B G I G V M G H FI MP U B P IG PF IMMM B PI HI V B U PHI M I PP K K K M K M I V Y GM I M K V P I PFUGVI P U B P Y P H M F MI V I H U H K U BKH K IM B F M M P B P H Y G P IG I PF K H B PKY P FM I G PF IG JUI K G K HU F GH M G Z I Y M P PK P U PF I K H U MY P P H IG G I B Y Y V K K B B V V U M I H BU I I M MM U V Y G KI H V IM G I I I M U B F H BK B UF B Y M QU I B I Y I K M M G Y V I I U H K YU G B M I B M B V I P II Y Y BKH MY.1 M Ü.2.4 Miles his product is for informational purposes and may not have been prepared for, or be suitable for legal, engineering, or surveying purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information.

19 BKH MY Year (ct.) nrollment apacity /Pre K KG 1st 2nd 3rd 4th 5th otal Growth % Growth 29/ / % 211/ % 212/ % 213/ % 214/ % 215/ % 216/ % 217/ % 218/ % 219/ % 22/ % 221/ % 222/ % 223/ % 41

20 B I U M PI GI IY HI F G B H KI I G PK Y H GH P I VI Y IG U IM M U Z G G H M J Q U B V P HI B V PPFI F U M Y G I U V B B Y G I B KI H MP Z P P I F XF U G PIG U H G I I H G B V FI H F P M B I Y I PFUGVI V H V Y M P Z Z IB M MIHU H G Y Y IVY 1 H I P F MP I HU P P H M MB H I I I G B V I U H V Y U G U F I Y I X G X F BU U I VI Y P QU I G J G G BU G B Y I B G I I G XI U B HY MB M H M Y U MP I I VI HI V U MI H FI B H U F M P M G Parcels Middle Boundary I Boundary 78 lementary Middle chool High chool lternative.175 Ü.35.7 Miles his product is for informational purposes and may not have been prepared for, or be suitable for legal, engineering, or surveying purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information.

21 U MI H Year (ct.) nrollment apacity 5th Feeder 6th 7th 8th otal Growth % Growth 29/ ,27 21/ % 211/ ,7 9.9% 212/13 1, , % 213/14 1, % 214/15 1, % 215/16 1, % 216/17 1, % 217/18 1, % 218/19 1, % 219/2 1, % 22/21 1, % 221/22 1, , % 222/23 1, , % 223/24 1, , % 79

22 Y HIGH H B I High Boundary I Boundary G Y V 1 3 1H U J Y B B V M PPFI IM M U F M U FF I G G KI G H H H Y H G 9 IY P I G H VI MP K Z U K U K F H B Y K UB B I M V V B B Y JU Y JU G B 35 P Z Y H I V BY QU P II G H IG B V M M M U G M P I K FI B K B IG V P H P FI H G M Y M I H MIHU M P P K F I PM Y G U B M I I VI F M M P K Y Y G Z H B HU H Y BB H I B V FM I M B V P I M G M P K I B P I I VI B IG M M H I B BU P U G IV K I G Y M M P U I I B PF U G Y G M HY P VI M H IMMM PFUGVI Y PM B G K B V PIG HI H I IG PFUGVI B P P U K I Z H K G ZI M P PF BKH XI G G BV H Y P H PK M B «HI H 1 P 35 H IY V I BU I B M K K K P M P BU I M I I I M I I V B Y G MM M M G U G M I VI Y U ZI U I H lementary Middle chool High chool lternative.25 Ü.5 1 Miles his product is for informational purposes and may not have been prepared for, or be suitable for legal, engineering, or surveying purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information.

23 Y HIGH H Year (ct.) nrollment apacity 8th Feeder 9th 1th 11th 12th otal Growth % Growth 29/ ,81 21/ , % 211/ , % 212/13 2, , % 213/14 2, , % 214/15 2, , % 215/16 2, , % 216/17 2, , % 217/18 2, , % 218/19 2, , % 219/2 2, , % 22/21 2, , % 221/22 2, , % 222/23 2, , % 223/24 2, , % 91

24 PPIX In this section: 97

25 PFUGVI I tudent istribution by ttending ampus M H PK 2 3 1H 11H 12H B M BKH M M PPFI M PIM HIGH PK M MUHI M H M PM M PFUGVI M IJ M IV K M M PIG HI M IMMM M I M IM M IM PIM ,665 1,75 1,77 1,753 1,8 1,777 11,278 1H 11H 12H U M M KG 1 4H 5H 6H 7H 8H 9H MI/JH H PK KG H 5H 6H 7H 8H 9H MI U MI KY MI ,4 PK MI PFUGVI MI ,49 VI MI MI/JH 1,766 1,882 1,71 5,349 ote: Based on ctober 213 enrollment file. 99

26 PFUGVI I tudent istribution by ttending ampus HIGH H PK KG H 5H 6H 7H 8H 9H 1H 11H 12H Y HIGH ,946 HIK HIGH ,658 PFUGVI HIGH ,227 HIGH 1,758 1,694 1,695 1,685 6,832 PK PFUGVI I 763 KG H 5H 6H 7H 8H 9H 1H 11H 12H 1,665 1,75 1,77 1,753 1,8 1,777 1,766 1,882 1,71 1,758 1,694 1,695 1,685 23,459 ote: Based on ctober 213 enrollment file. 1

27 5-Y M HG (BU) 28/9-213/14 Holland I 73 Burnet ons I -188 Florence I -84 Bartlett I -15 Jarrell I 263 Granger I -28 iberty Hill I 494 Georgetown I 328 eander I 6943 ago Vista I 147 Manor I 2435 anes I 659 ustin I 1889 ripping prings I 966 aylor I 49 ound ock I 4933 Pflugerville I 1824 ake ravis I 2112 horndale I 6 hrall I 35 Hutto I 168 Marble Falls I 87 ockdale I -13 oupland I -38 exington I -24 lgin I 293 Mcade I 7 el Valle I 2129 Bastrop I 86 Hays ons I 3374 mithville I 16 < his product is for informational purposes and may not have been prepared for, or be suitable for legal, engineering, or surveying purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information > Miles

28 5-Y M HG (PG) 28/9-213/14 Holland I 13% Burnet ons I -5.5% Florence I -7.9% iberty Hill I 19.9% Bartlett I -3.7% Jarrell I 3% ockdale I -7.6% Granger I -6.2% Georgetown I 3.2% horndale I 1.7% hrall I 5.7% eander I 24.4% Marble Falls I 2.2% ago Vista I 11.9% Hutto I 22% ound ock I 11.8% oupland I -26.6% Pflugerville I 8.4% ake ravis I 34.4% ustin I 2.3% ripping prings I 23.3% exington I -2.5% Manor I 39.1% anes I 9% aylor I 1.5% lgin I 7.5% Mcade I 3.4% el Valle I 22.3% Bastrop I 9.2% Hays ons I 24.3% mithville I 6.2% < -8% - -8% - % % - 1% 1% - 2% his product is for informational purposes and may not have been prepared for, or be suitable for legal, engineering, or surveying purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information. 2% - 5% > 5% Miles 155

ATTENDANCE LEVELING AND ZONE PLANNING

ATTENDANCE LEVELING AND ZONE PLANNING 1.17.21 VG Z PG ttendance eveling & Zone Planning ommittee: r. elina strada-homas - uperintendent r. obert ormani ssistant uperintendent for upport ervices r. odd obison irector of ommunications & ommunity

More information

Daytona Beach International Airport Connector

Daytona Beach International Airport Connector trategic ntermodal ystem Highway s ssessment ntroduction aytona each nternational irport aytona each nternational irport ( is a convenient alternative to the uncertainties of rlando and Jacksonville traffic

More information

U. S. Highway 412 Corridor, Average Daily Traffic Western Portion Vicinity of Benton and Washington Counties

U. S. Highway 412 Corridor, Average Daily Traffic Western Portion Vicinity of Benton and Washington Counties Bu V Fm R i pi R R bb Fi 8 Bvi Fihip R Bufi h R Vii f v M h hi i B Av Ei Av G A hz Np v im Rbi Av i F-Ex i App uh hmii Av f Av G Av G A R bpp Av R Av V Av i hip Yu G m G Av Qu R P Av Ah Mib u E P Av uh

More information

Proposal 2 Reduce Enrollment at Cocoa Beach Jr/Sr High School ALTERNATIVE OPTION. Presented at December 13, 2011 School Board Meeting

Proposal 2 Reduce Enrollment at Cocoa Beach Jr/Sr High School ALTERNATIVE OPTION. Presented at December 13, 2011 School Board Meeting roposal 2 educe nrollment at ocoa each Jr/r igh chool resented at ecember 3, 20 chool oard eeting o change to attendance boundaries or iddle ears nternational accalaureate rogram boundary 2 imit incoming

More information

H1,H2-R3-1 H1,H2-R2 H1,H2-R R1 W ES T PEA R L MA LL OC H C RE O AK R3 34 W RIGH T C RE S UN IO N ST B U TLE OTT ER D R

H1,H2-R3-1 H1,H2-R2 H1,H2-R R1 W ES T PEA R L MA LL OC H C RE O AK R3 34 W RIGH T C RE S UN IO N ST B U TLE OTT ER D R HUBB IGW M B H G G G JI HM hub - Victoria - ith riental - 0 H I. W I Mile on-oercial / on-esidential Zones H W M IZ BV I B H W U (P IV ) MB K P W,,,, - Multiple esidential M W (P IV ),, - ingle etached

More information

Prospect City Limits/Project Study Area. County Boundary

Prospect City Limits/Project Study Area. County Boundary I SP G FS P IG 841 P B C H B F P CK S F T T I H I J C S S TH S F G FF CI S FI I H PP C K G I H JFF S I B T C S ST T I B I G P H SC IG B B H F I G G H I C F P CH S H I I Prospect City imits/project Study

More information

WELCOME. Why am I here? FM 1516: I-10 E. TO FM 78 Open House. Judson High School Tuesday, May 22, :00-7:00pm. Learn about the proposed project

WELCOME. Why am I here? FM 1516: I-10 E. TO FM 78 Open House. Judson High School Tuesday, May 22, :00-7:00pm. Learn about the proposed project F 1516: I-10. F 78 pen ouse Judson igh chool uesday, ay 22, 2018 5:00-7:00pm hy am I here? earn about the proposed project Provide comments on the proposed project. F 1516 - I-10. to F 78 nvironmental

More information

INSIDE. Metric Descriptions by Topic Area. Data Sources and Methodology by Topic Area. Technical Appendix

INSIDE. Metric Descriptions by Topic Area. Data Sources and Methodology by Topic Area. Technical Appendix As part of the Chicago Neighborhoods 2015 (CN2015) project, the Institute for Housing Studies at DePaul University collected data and built metrics to help The Chicago Community Trust and the City of Chicago

More information

COUNTY FIRE CHIEF REOPENS HAZARDOUS FIRE DANGER HIKING AREAS

COUNTY FIRE CHIEF REOPENS HAZARDOUS FIRE DANGER HIKING AREAS : Public ffairs Bureau 951-940-6985 : ecember 11, 2018 UY FI HIF P HZU FI G HIKIG he iverside ounty Board of upervisors have approved the reopening of seven hiking areas throughout the region. t the request

More information

FREE. BJ McNALLY Ltd. Helen Lynch. Remembering Helen. Made in Ireland. memorial cards since 19. Helen Lynch. McNally Family Printers.

FREE. BJ McNALLY Ltd. Helen Lynch. Remembering Helen. Made in Ireland. memorial cards since 19. Helen Lynch. McNally Family Printers. Bkmk W C - 185mm x 60mm - 88mm x 55mm Ackgm C BJ McNALLY L 108mm x 85mm * Rmmbig H T fmi f v H i Lm H Lc ic f i k m f mp i ki xpi bvm. m i i c I vig mm f Sm McDm i 12 J 2033 g 00. f M T H Scific ii. b

More information

Forecasts for the Reston/Dulles Rail Corridor and Route 28 Corridor 2010 to 2050

Forecasts for the Reston/Dulles Rail Corridor and Route 28 Corridor 2010 to 2050 George Mason University Center for Regional Analysis Forecasts for the Reston/Dulles Rail Corridor and Route 28 Corridor 21 to 25 Prepared for the Fairfax County Department of Planning and Zoning Lisa

More information

3rd Grade Social Studies Practice Test

3rd Grade Social Studies Practice Test 3rd Grade Social Studies Practice Name: Instructions: Copyright 2000-2002 Measured Progress, All Rights Reserved : 1. Citizens have both rights and privileges. Which of the following is a right? A. voting

More information

Economic Impacts of Heritage Tourism in St. Johns County, Florida, by Tom Stevens, Alan Hodges and David Mulkey.

Economic Impacts of Heritage Tourism in St. Johns County, Florida, by Tom Stevens, Alan Hodges and David Mulkey. Economic Impacts of Heritage Tourism in St. Johns County, Florida, 2001-02 by Tom Stevens, Alan Hodges and David Mulkey University of Florida, Institute of Food and Agricultural Sciences, Food and Resource

More information

Presented at ESRI Education User Conference, July 6-8, 2001, San Diego, CA

Presented at ESRI Education User Conference, July 6-8, 2001, San Diego, CA Presented at ESRI Education User Conference, July 6-8, 2001, San Diego, CA Irina V. Sharkova, Ph.D., Research Assistant Professor Richard Lycan, Ph.D., Senior Research Associate Population Research Center

More information

Economic Geography of the Long Island Region

Economic Geography of the Long Island Region Geography of Data Economic Geography of the Long Island Region Copyright 2011 AFG 1 The geography of economic activity requires: - the gathering of spatial data - the location of data geographically -

More information

Evaluating access to jobs via transit from disparate neighborhoods

Evaluating access to jobs via transit from disparate neighborhoods Evaluating access to jobs via transit from disparate neighborhoods Clifford Kaplan GIS for Water Resources 2014, Term Project Burnet Corridor Manor Corridor Burnet Corridor Legend CapMetro bus lines Manor

More information

Seaport Status, Access, and Regional Development in Indonesia

Seaport Status, Access, and Regional Development in Indonesia Seaport Status, Access, and Regional Development in Indonesia Muhammad Halley Yudhistira Yusuf Sofiyandi Institute for Economic and Social Research (LPEM), Faculty of Economics and Business, University

More information

Local Economic Activity Around Rapid Transit Stations

Local Economic Activity Around Rapid Transit Stations Local Economic Activity Around Rapid Transit Stations The Case of Chicago s Orange Line Julie Cooper, MPP 2014 Harris School of Public Policy Transport Chicago June 6, 2014 Motivation Impacts of transit

More information

Land Use and Zoning Page 1 of 10 LAND USE AND ZONING

Land Use and Zoning Page 1 of 10 LAND USE AND ZONING LAND USE AND ZONING Land Use and Zoning Page 1 of 10 BACKGROUND The Clifton-Fruitvale planning area is about 3,962 acres (6.2 sq. miles) with a population of 14,000 residents. The density of the area is

More information

Daytona Beach Greyhound Bus Terminal Connector

Daytona Beach Greyhound Bus Terminal Connector trategic Intermodal ystem Highway onnectors ssessment aytona each Greyhound us erminal onnector Introduction aytona each is a seasonal town with large groups of out-of-towners descending upon the city

More information

COUNTY FIRE CHIEF CLOSES HAZARDOUS HIKING AREAS DUE TO FIRE DANGER

COUNTY FIRE CHIEF CLOSES HAZARDOUS HIKING AREAS DUE TO FIRE DANGER ontact: Public Information Bureau 951-940-6985 UY FI HIF HZU HIKIG U FI G elease ate: June 18, 2018 FI/iverside ounty Fire hief, aniel. albot received approval from the iverside ounty Board of upervisors

More information

HORIZON 2030: Land Use & Transportation November 2005

HORIZON 2030: Land Use & Transportation November 2005 PROJECTS Land Use An important component of the Horizon transportation planning process involved reviewing the area s comprehensive land use plans to ensure consistency between them and the longrange transportation

More information

Using American Factfinder

Using American Factfinder Using American Factfinder What is American Factfinder? American Factfinder is a search engine that provides access to the population, housing and economic data collected by the U.S. Census Bureau. It can

More information

Internet GIS Sites. 2 OakMapper webgis Application

Internet GIS Sites. 2 OakMapper webgis Application Internet GIS Sites # Name URL Description 1 City of Sugar Land http://www.sugarlandtx.gov/index.htm It is a city in Texas with 65,000 Residents. The City of Sugar Land, Texas, provides ArcIMS-based maps

More information

Geospatial Analysis of Job-Housing Mismatch Using ArcGIS and Python

Geospatial Analysis of Job-Housing Mismatch Using ArcGIS and Python Geospatial Analysis of Job-Housing Mismatch Using ArcGIS and Python 2016 ESRI User Conference June 29, 2016 San Diego, CA Jung Seo, Frank Wen, Simon Choi and Tom Vo, Research & Analysis Southern California

More information

Community Planning Areas and Airport Influence Areas in the City of San Diego

Community Planning Areas and Airport Influence Areas in the City of San Diego ommunity Planning reas and irport Influence reas in the ity of an iego BTIQUITO OO PQU K HO HO BO IJO OO IUITO OO O PQUITO OO I TO PI FIBK FU OUT UB UB 2 M Ä 6 Æ TO HI PIFI HIH H M M MI M BK MOUTI H TO

More information

Regional Performance Measures

Regional Performance Measures G Performance Measures Regional Performance Measures Introduction This appendix highlights the performance of the MTP/SCS for 2035. The performance of the Revenue Constrained network also is compared to

More information

North Dakota Lignite Energy Industry s Contribution to the State Economy

North Dakota Lignite Energy Industry s Contribution to the State Economy Agricultural Economics Miscellaneous Report No. 186 May 2000 North Dakota Lignite Energy Industry s Contribution to the State Economy Randal C. Coon, and F. Larry Leistritz* Department of Agricultural

More information

HAZUS-MH: Earthquake Event Report

HAZUS-MH: Earthquake Event Report HAZUS-MH: Earthquake Event Report Region Name: El Paso County Earthquake Scenario: El Paso County Random EQ Print Date: February 08, 2006 Disclaimer: The estimates of social and economic impacts contained

More information

2040 MTP and CTP Socioeconomic Data

2040 MTP and CTP Socioeconomic Data SE Data 6-1 24 MTP and CTP Socioeconomic Data Purpose of Socioeconomic Data The socioeconomic data (SE Data) shows the location of the population and employment, median household income and other demographic

More information

Understanding China Census Data with GIS By Shuming Bao and Susan Haynie China Data Center, University of Michigan

Understanding China Census Data with GIS By Shuming Bao and Susan Haynie China Data Center, University of Michigan Understanding China Census Data with GIS By Shuming Bao and Susan Haynie China Data Center, University of Michigan The Census data for China provides comprehensive demographic and business information

More information

A Case Study of Regional Dynamics of China 中国区域动态案例研究

A Case Study of Regional Dynamics of China 中国区域动态案例研究 A Case Study of Regional Dynamics of China 中国区域动态案例研究 Shuming Bao Spatial Data Center & China Data Center University of Michigan 1:00 PM - 2:00 PM, Tue, Feb 6, 2018 EST USA A Case Study of Regional Dynamics

More information

The Economic and Social Health of the Cairngorms National Park 2010 Summary

The Economic and Social Health of the Cairngorms National Park 2010 Summary The Economic and Social Health of the Cairngorms National Park 2010 Published by Cairngorms National Park Authority The Economic and Social Health of the Cairngorms National Park 2010 This summary highlights

More information

Oregon Population Forecast Program

Oregon Population Forecast Program Oregon Population Forecast Program Regional Forecast Meeting October 2, 2015 Presentation by Population Forecast Program Team Hood River County Oregon Population Forecast Program Project Team Xiaomin Ruan,

More information

Introduction... vii ACC Economics and Statistics Department Staff... vii 1. CHEMISTRY AND THE ECONOMY...1

Introduction... vii ACC Economics and Statistics Department Staff... vii 1. CHEMISTRY AND THE ECONOMY...1 TABLE OF CONTENTS Introduction... vii ACC Economics and Statistics Department Staff... vii 1. CHEMISTRY AND THE ECONOMY...1 Chemistry in Our Lives...2 Economic Contributions of the Business of Chemistry...4

More information

Cultural Data in Planning and Economic Development. Chris Dwyer, RMC Research Sponsor: Rockefeller Foundation

Cultural Data in Planning and Economic Development. Chris Dwyer, RMC Research Sponsor: Rockefeller Foundation Cultural Data in Planning and Economic Development Chris Dwyer, RMC Research Sponsor: Rockefeller Foundation A Decade of Attempts to Quantify Arts and Culture Economic impact studies Community indicators

More information

Section 2.1 Exercises

Section 2.1 Exercises Section. Linear Functions 47 Section. Exercises. A town's population has been growing linearly. In 00, the population was 45,000, and the population has been growing by 700 people each year. Write an equation

More information

Google Maps and Beyond

Google Maps and Beyond Google Maps and Beyond Aaron Paul First American Title apaul@firstam.com 2015 APRA Symposium Association of Professional Reserve Analysts May 2 nd, 2015 Google Maps and Beyond - Overview Business case

More information

Map your way to deeper insights

Map your way to deeper insights Map your way to deeper insights Target, forecast and plan by geographic region Highlights Apply your data to pre-installed map templates and customize to meet your needs. Select from included map files

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

The Role of Transitways in Our Region s Economic Competitiveness. The 23rd CTS Annual Research Conference St. Paul, MN May 23, 2012

The Role of Transitways in Our Region s Economic Competitiveness. The 23rd CTS Annual Research Conference St. Paul, MN May 23, 2012 The Role of Transitways in Our Region s Economic Competitiveness The 23rd CTS Annual Research Conference St. Paul, MN May 23, 2012 1 2 Twin Cities Competitive Clusters 3 Competitive Clusters interconnected

More information

Regional Performance Measures

Regional Performance Measures G Performance Measures Regional Performance Measures Introduction This appendix highlights the performance of the MTP/SCS for 2035. The performance of the Revenue Constrained network also is compared to

More information

BROOKINGS May

BROOKINGS May Appendix 1. Technical Methodology This study combines detailed data on transit systems, demographics, and employment to determine the accessibility of jobs via transit within and across the country s 100

More information

Coastal Douglas-fir Land Use Order - Draft for Review

Coastal Douglas-fir Land Use Order - Draft for Review P [ ] [ w v h f y Hwy W V V y Mp u W [ H ] Vcuv mx umb uy v vi Quicum ch Pvi h P bi m Q h Hwy Q M Y M i : h ifmi pvi i f f viw pup my b ubjc chg pi fi vii. h m g i. w 66 Hwy. & P V i Wy P P Wch ch ug-fi

More information

Shrinking Cities. Economic Geography Dr. Gordon Winder Summer Term 2008 Georgina Gilchrist

Shrinking Cities. Economic Geography Dr. Gordon Winder Summer Term 2008 Georgina Gilchrist Shrinking Cities Economic Geography Dr. Gordon Winder Summer Term 2008 Georgina Gilchrist Overview Introduction Reasons for urban decline Case Study: Detroit Case Study: Manchester Summary Introduction

More information

Transit Service Gap Technical Documentation

Transit Service Gap Technical Documentation Transit Service Gap Technical Documentation Introduction This document is an accompaniment to the AllTransit TM transit gap methods document. It is a detailed explanation of the process used to develop

More information

A New Approach to Estimating Population Growth Along a Major Arterial Highway.

A New Approach to Estimating Population Growth Along a Major Arterial Highway. . ABSTRACT In the last twenty years Texas has undergone extensive growth as people move across the country and relocate in the Lone Star State. Many of these new Texans choose suburbs outside major cities

More information

Labor Market Polarization and a Changing Recovery in the Chicago Metropolitan Area

Labor Market Polarization and a Changing Recovery in the Chicago Metropolitan Area Labor Market Polarization and a Changing Recovery in the Chicago Metropolitan Area Executive Summary High-Wage Middle-Wage Low-Wage Exhibit 1: Change in Total Jobs by Wage Tier (2006-2015) -3.0% 0.0% 2.5%

More information

MEETS ALL SCREENING CRITERIA

MEETS ALL SCREENING CRITERIA 29 64 4 20 20 P P 6 6 64 64 64 64 2 2 6 6 48 44 34& 34& 6 P F P P 4 P F 48 K K 6 11 1 1 K K K K 66 12 K 161X6 P X PGG B B PP GG P P K 6 6 K K 24 12 P P P 26 2 P 26 B 2 3 6 K 1 1 6 && 6 66 66 38 38 P P

More information

An online data and consulting resource of THE UNIVERSITY OF TOLEDO THE JACK FORD URBAN AFFAIRS CENTER

An online data and consulting resource of THE UNIVERSITY OF TOLEDO THE JACK FORD URBAN AFFAIRS CENTER An online data and consulting resource of THE JACK FORD URBAN AFFAIRS CENTER THE CENTER FOR GEOGRAPHIC INFORMATION SCIENCE AND APPLIED GEOGRAPHICS DEPARTMENT OF GEOGRAPHY AND PLANNING THE UNIVERSITY OF

More information

Transportation Statistical Data Development Report OKALOOSA-WALTON OUTLOOK 2035 LONG RANGE TRANSPORTATION PLAN

Transportation Statistical Data Development Report OKALOOSA-WALTON OUTLOOK 2035 LONG RANGE TRANSPORTATION PLAN Transportation Statistical Data Development Report OKALOOSA-WALTON OUTLOOK 2035 LONG RANGE TRANSPORTATION PLAN Prepared for the Okaloosa-Walton Transportation Planning Organization and The Florida Department

More information

Williams Landing. 03. Located just 20km from Melbourne CBD.

Williams Landing. 03. Located just 20km from Melbourne CBD. PK 0 awrie mmins eserve 0 heetham etls 0 Point ook oastal Park 0 erribee pen ange Zoo I PI 0 ruganina outh Primary chool 0 averton P- ollege 0 t artin de Porres Primary chool 08 ltona eadows Primary chool

More information

VIKING INSPECTION PROPERTY 4921 U.S. Hwy. 85, Williston, ND 58801

VIKING INSPECTION PROPERTY 4921 U.S. Hwy. 85, Williston, ND 58801 SALE PRICE: $799,000 LOT SIZE: +/-2.49 Acres BUILDING SIZE: +/-3,800 SF DRIVE-IN DOORS 2 CEILING HEIGHT: 16' YEAR BUILT: 2007 ZONING: Commercial PROPERTY OVERVIEW Highly visible, hard-to-find small shop/office/apartment

More information

SITE PLAN DOCUMENTS H & H HOMES

SITE PLAN DOCUMENTS H & H HOMES I P UM & M UVIG GM MGM P IU U J BIM, M PIPI, P U M IG V, P VIGII U, P IG, B B, IG, II, IG F I P I B PI U PUP IU I I UIZI FM B GIIG. PV, IG P B UIIZ PUP 28 B GIIG F II F BU PGPI UV: B GIIG, P. "BU & PGPI

More information

The Use of Geographic Information Systems (GIS) by Local Governments. Giving municipal decision-makers the power to make better decisions

The Use of Geographic Information Systems (GIS) by Local Governments. Giving municipal decision-makers the power to make better decisions The Use of Geographic Information Systems (GIS) by Local Governments Giving municipal decision-makers the power to make better decisions Case Study: Examples of GIS Usage by Local Governments in North

More information

IFHP Congress. Track 2 : Regenerating the East. Eric Sorensen, 11 June 2013

IFHP Congress. Track 2 : Regenerating the East. Eric Sorensen, 11 June 2013 IFHP Congress Track 2 : Regenerating the East Eric Sorensen, 11 June 2013 London Geography Port of London Docklands Abandoned Canary Wharf Abandoned Canary Wharf: 1982 THE 1970s - A LOST DECADE Everyone

More information

North Dakota Lignite Energy Industry's Contribution to the State Economy for 2002 and Projected for 2003

North Dakota Lignite Energy Industry's Contribution to the State Economy for 2002 and Projected for 2003 AAE 03002 March 2003 North Dakota Lignite Energy Industry's Contribution to the State Economy for 2002 and Projected for 2003 Randal C. Coon and F. Larry Leistritz * This report provides estimates of the

More information

Final Group Project Paper. Where Should I Move: The Big Apple or The Lone Star State

Final Group Project Paper. Where Should I Move: The Big Apple or The Lone Star State Final Group Project Paper Where Should I Move: The Big Apple or The Lone Star State By: Nathan Binder, Shannon Scolforo, Kristina Conste, Madison Quinones Main Goal: Determine whether New York or Texas

More information

GIS Needs Assessment. for. The City of East Lansing

GIS Needs Assessment. for. The City of East Lansing GIS Needs Assessment for The City of East Lansing Prepared by: Jessica Moy and Richard Groop Center for Remote Sensing and GIS, Michigan State University February 24, 2000 Executive Summary At the request

More information

Name: Class: Date: ID: A. Identify the hypothesis and conclusion of the statement. Then write the statement in if-then form.

Name: Class: Date: ID: A. Identify the hypothesis and conclusion of the statement. Then write the statement in if-then form. Name: Class: Date: ID: A 7 Short Answer 1. 12x Write a verbal expression for the algebraic expression. 2. 3 5 + 2 Identify the hypothesis and conclusion of the statement. Then write the statement in if-then

More information

Applied Modeling & Forecasting. Chapter 1

Applied Modeling & Forecasting. Chapter 1 DEPARTMENT OF QUANTITATIVE METHODS & INFORMATION SYSTEMS Applied Modeling & Forecasting QMIS 320 Chapter 1 Fall 2010 Dr. Mohammad Zainal 2 What is Forecasting? It is the process of analyzing current and

More information

Advancing Urban Models in the 21 st Century. Jeff Tayman Lecturer, Dept. of Economics University of California, San Diego

Advancing Urban Models in the 21 st Century. Jeff Tayman Lecturer, Dept. of Economics University of California, San Diego Advancing Urban Models in the 21 st Century Jeff Tayman Lecturer, Dept. of Economics University of California, San Diego 1 Regional Decision System Better tools Better data Better access Better Decisions

More information

Difference in regional productivity and unbalance in regional growth

Difference in regional productivity and unbalance in regional growth Difference in regional productivity and unbalance in regional growth Nino Javakhishvili-Larsen and Jie Zhang - CRT, Denmark, Presentation at 26 th International input-output conference in Brazil Aim of

More information

THE FUTURE OF FORECASTING AT METROPOLITAN COUNCIL. CTS Research Conference May 23, 2012

THE FUTURE OF FORECASTING AT METROPOLITAN COUNCIL. CTS Research Conference May 23, 2012 THE FUTURE OF FORECASTING AT METROPOLITAN COUNCIL CTS Research Conference May 23, 2012 Metropolitan Council forecasts Regional planning agency and MPO for Twin Cities metropolitan area Operates regional

More information

Technical Memorandum #2 Future Conditions

Technical Memorandum #2 Future Conditions Technical Memorandum #2 Future Conditions To: Dan Farnsworth Transportation Planner Fargo-Moorhead Metro Council of Governments From: Rick Gunderson, PE Josh Hinds PE, PTOE Houston Engineering, Inc. Subject:

More information

Spatiotemporal Analysis of Commuting Patterns: Using ArcGIS and Big Data

Spatiotemporal Analysis of Commuting Patterns: Using ArcGIS and Big Data Spatiotemporal Analysis of Commuting Patterns: Using ArcGIS and Big Data 2017 ESRI User Conference July 13, 2017 San Diego, VA Jung Seo, Tom Vo, Frank Wen and Simon Choi Research & Analysis Southern California

More information

Spatiotemporal Analysis of Commuting Patterns in Southern California Using ACS PUMS, CTPP and LODES

Spatiotemporal Analysis of Commuting Patterns in Southern California Using ACS PUMS, CTPP and LODES Spatiotemporal Analysis of Commuting Patterns in Southern California Using ACS PUMS, CTPP and LODES 2017 ACS Data Users Conference May 11-12, 2017 Alexandria, VA Jung Seo, Tom Vo, Frank Wen and Simon Choi

More information

Lee County, Florida 2015 Forecast Report Population, Housing and Commercial Demand

Lee County, Florida 2015 Forecast Report Population, Housing and Commercial Demand Lee County, Florida 2015 Forecast Report Population, Housing and Commercial Demand Thank you for purchasing this report, which contains forecasts of population growth, housing demand and demand for commercial

More information

Sales Analysis User Manual

Sales Analysis User Manual Sales Analysis User Manual Confidential Information This document contains proprietary and valuable, confidential trade secret information of APPX Software, Inc., Richmond, Virginia Notice of Authorship

More information

Residential Demographic Multipliers

Residential Demographic Multipliers Rutgers University, Center for Urban Policy Research Residential Demographic Multipliers Estimates of the Occupants of New Housing (Residents, School-Age Children, Public School-Age Children) by State,

More information

Global Catalyst Market

Global Catalyst Market Market Report Global Catalyst Market Third Edition Updated: March, 2015 Publisher: Acmite Market Intelligence Language: English Pages: 542 Price: from 1,490 Euro Abstract Benefiting from rapid growth in

More information

ADDRESSING TITLE VI AND ENVIRONMENTAL JUSTICE IN LONG-RANGE TRANSPORTATION PLANS

ADDRESSING TITLE VI AND ENVIRONMENTAL JUSTICE IN LONG-RANGE TRANSPORTATION PLANS ADDRESSING TITLE VI AND ENVIRONMENTAL JUSTICE IN LONG-RANGE TRANSPORTATION PLANS Activities from the National Capital Region Transportation Planning Board Sergio Ritacco Transportation Planner 2017 Association

More information

Lee County, Alabama 2015 Forecast Report Population, Housing and Commercial Demand

Lee County, Alabama 2015 Forecast Report Population, Housing and Commercial Demand Lee County, Alabama 2015 Forecast Report Population, Housing and Commercial Demand Thank you for purchasing this report, which contains forecasts of population growth, housing demand and demand for commercial

More information

Applied Modeling & Forecasting QMIS 320 Chapter 1

Applied Modeling & Forecasting QMIS 320 Chapter 1 DEPARTMENT OF QUANTITATIVE METHODS & INFORMATION SYSTEMS Applied Modeling & Forecasting QMIS 320 Chapter 1 Fall 2010 Dr. Mohammad Zainal 2 What is Forecasting? It is the process of analyzing current and

More information

SOCALGAS REBUTTAL TESTIMONY OF ROSE-MARIE PAYAN (CUSTOMERS) June 2015

SOCALGAS REBUTTAL TESTIMONY OF ROSE-MARIE PAYAN (CUSTOMERS) June 2015 Company: Southern California Gas Company (U0G) Proceeding: 01 General Rate Case Application: A.1--00 Exhibit: SCG-0 SOCALGAS REBUTTAL TESTIMONY OF ROSE-MARIE PAYAN (CUSTOMERS) June 01 BEFORE THE PUBLIC

More information

COSTA RICA Limon City-Port Project

COSTA RICA Limon City-Port Project COSTA RICA Limon City-Port Project 2008 2013 photos by Stefania Abakerli Stefania Abakerli Cecilia Corvalan Context Costa Rica Well-known tourist destination in CA (8.4% GDP) Long tradition of political

More information

Evaluating Community Analyst for Use in School Demography Studies

Evaluating Community Analyst for Use in School Demography Studies Portland State University PDXScholar Publications, Reports and Presentations Population Research Center 7-2013 Evaluating Community Analyst for Use in School Demography Studies Richard Lycan Portland State

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

A TELEGRAPH AVE. BERKELEY, CA GROSS FLOOR AREA UNIT MIX PRELIMINARY DESIGN REVIEW AND ZONING APPLICATION SET: 04/17/2015 PROJECT TEAM

A TELEGRAPH AVE. BERKELEY, CA GROSS FLOOR AREA UNIT MIX PRELIMINARY DESIGN REVIEW AND ZONING APPLICATION SET: 04/17/2015 PROJECT TEAM W 2556 GP V. BKY, PMY G VW ZG PP : 04/7/205 /04/206 U Z @ 22x34, Z @ x7 G U 44,3704,602 M & U 8,975 6,039 G & V 3502,375 53,69550,06 MM V / WK U 760,50 3,440 2,679 MM 4,200 4,89 U MX YP U % VG. Z -BM U

More information

Analyzing Suitability of Land for Affordable Housing

Analyzing Suitability of Land for Affordable Housing Analyzing Suitability of Land for Affordable Housing Vern C. Svatos Jarrod S. Doucette Abstract: This paper explains the use of a geographic information system (GIS) to distinguish areas that might have

More information

Population Research Center (PRC) Oregon Population Forecast Program

Population Research Center (PRC) Oregon Population Forecast Program Population Research Center (PRC) Oregon Population Forecast Program 2013 Oregon League of Cities Conference Risa S. Proehl Jason R. Jurjevich, Ph.D. Population Research Center (PRC) Population Research

More information

Presentation to the National Association of Counties Large Urban County Caucus 2016 Innovation Symposium. New York, NY November 2016

Presentation to the National Association of Counties Large Urban County Caucus 2016 Innovation Symposium. New York, NY November 2016 Presentation to the National Association of Counties Large Urban County Caucus 2016 Innovation Symposium New York, NY November 2016 Large counties are leading a shift in the country s economic landscape

More information

Williams Landing. 03. Located just 20km from Melbourne CBD.

Williams Landing. 03. Located just 20km from Melbourne CBD. 0 awrie mmins Reserve 0 heetham etlands 0 Point ook oastal Park 0 erribee pen Range Zoo R R IRPR PRIR 0 ruganina outh Primary chool 0 averton P- ollege 07 t artin de Porres Primary chool 08 ltona eadows

More information

Longman.com. Minutes, hours, days, weeks, months, years, decades, centuries

Longman.com. Minutes, hours, days, weeks, months, years, decades, centuries inutes, hours, days, weeks, months, years, decades, centuries Linked to ew utting dge lementary odule 7 ) ays of the week. Quickly write answers to the questions below. 0] What is the day after onday?

More information

STATE GEOGRAPHIC INFORMATION DATABASE

STATE GEOGRAPHIC INFORMATION DATABASE STATE GEOGRAPHIC INFORMATION DATABASE Data Information and Knowledge Management STATE GEOGRAPHIC INFORMATION DATABASE EXECUTIVE SUMMARY Utah has developed one of the most comprehensive statewide GIS resources

More information

THE VALUE OF CULTURAL HERITAGE AN ECONOMIC ANALYSIS OF CULTURAL HERITAGE AND CULTURAL ENVIRONEMENTS

THE VALUE OF CULTURAL HERITAGE AN ECONOMIC ANALYSIS OF CULTURAL HERITAGE AND CULTURAL ENVIRONEMENTS ENGLISH SUMMARY THE VALUE OF CULTURAL HERITAGE AN ECONOMIC ANALYSIS OF CULTURAL HERITAGE AND CULTURAL ENVIRONEMENTS MENON PUBLICATION NR. 72/2017 By Caroline Wang Gierløff, Kristin Magnussen, Lars Stemland

More information

University of South Carolina

University of South Carolina Jumper arter ease oof epair ast round evel P000 rchitects P Meeting treet West olumbia outh arolina F U JUMP, P W UMB -700 F U M K MY /9/0 :8: PM :\0\0 - U - eplace oofing for ast rand V ustod & Fac upply

More information

APPENDIX V VALLEYWIDE REPORT

APPENDIX V VALLEYWIDE REPORT APPENDIX V VALLEYWIDE REPORT Page Intentionally Left Blank 1.2 San Joaquin Valley Profile Geography The San Joaquin Valley is the southern portion of the Great Central Valley of California (Exhibit 1-1).

More information

Big-Geo-Data EHR Infrastructure Development for On-Demand Analytics

Big-Geo-Data EHR Infrastructure Development for On-Demand Analytics Big-Geo-Data EHR Infrastructure Development for On-Demand Analytics Sohayla Pruitt, MA Senior Geospatial Scientist Duke Medicine DUHS DHTS EIM HIRS Page 1 Institute of Medicine, World Health Organization,

More information

CHARACTERISTICS OF TRANSFER STUDENTS

CHARACTERISTICS OF TRANSFER STUDENTS CHARACTERISTICS OF TRANSFER STUDENTS UNIVERSITY OF ILLINOIS AT SPRINGFIELD FALL 2004 University Office for Planning and Budgeting June 2005 RESEARCH SUMMARY University Office for Planning and Budgeting

More information

King Fahd University of Petroleum & Minerals College of Engineering Sciences Civil Engineering Department. Geographical Information Systems(GIS)

King Fahd University of Petroleum & Minerals College of Engineering Sciences Civil Engineering Department. Geographical Information Systems(GIS) King Fahd University of Petroleum & Minerals College of Engineering Sciences Civil Engineering Department Geographical Information Systems(GIS) Term Project Titled Delineating Potential Area for Locating

More information

One Year s Progress in the Chinese Oil Shale Business. J.L. QIAN, J.Q. WANG, S.Y. LI China University of Petroleum

One Year s Progress in the Chinese Oil Shale Business. J.L. QIAN, J.Q. WANG, S.Y. LI China University of Petroleum One Year s Progress in the Chinese Oil Shale Business J.L. QIAN, J.Q. WANG, S.Y. LI China University of Petroleum Email: jlqian2001@yahoo.com Preface: Mr.Chairman, Ladies and Gentlemen: Thanks to Colorado

More information

GIS-Based Analysis of the Commuting Behavior and the Relationship between Commuting and Urban Form

GIS-Based Analysis of the Commuting Behavior and the Relationship between Commuting and Urban Form GIS-Based Analysis of the Commuting Behavior and the Relationship between Commuting and Urban Form 1. Abstract A prevailing view in the commuting is that commuting would reconstruct the urban form. By

More information

NOWCASTING REPORT. Updated: September 23, 2016

NOWCASTING REPORT. Updated: September 23, 2016 NOWCASTING REPORT Updated: September 23, 216 The FRBNY Staff Nowcast stands at 2.3% and 1.2% for 216:Q3 and 216:Q4, respectively. Negative news since the report was last published two weeks ago pushed

More information

Spatial Organization of Data and Data Extraction from Maptitude

Spatial Organization of Data and Data Extraction from Maptitude Spatial Organization of Data and Data Extraction from Maptitude N. P. Taliceo Geospatial Information Sciences The University of Texas at Dallas UT Dallas GIS Workshop Richardson, TX March 30 31, 2018 1/

More information

Write a report (6-7 pages, double space) on some examples of Internet Applications. You can choose only ONE of the following application areas:

Write a report (6-7 pages, double space) on some examples of Internet Applications. You can choose only ONE of the following application areas: UPR 6905 Internet GIS Homework 1 Yong Hong Guo September 9, 2008 Write a report (6-7 pages, double space) on some examples of Internet Applications. You can choose only ONE of the following application

More information

Introduction to Forecasting

Introduction to Forecasting Introduction to Forecasting Introduction to Forecasting Predicting the future Not an exact science but instead consists of a set of statistical tools and techniques that are supported by human judgment

More information

2015 NYS Geospatial Applications Awards Competition Entry Form

2015 NYS Geospatial Applications Awards Competition Entry Form 2015 NYS Geospatial Applications Awards Competition Entry Form Please use the below template to submit your entry for the 2015 NYS Geospatial Applications Awards Competition. By entering the competition,

More information

Population Trends Along the Coastal United States:

Population Trends Along the Coastal United States: Coastal Trends Report Series Population Trends Along the Coastal United States: 1980-2008 U.S. Department of Commerce National Oceanic and Atmospheric Administration National Ocean Service Assessing the

More information

Location Patterns of Manufacturing Industries in Tunisia

Location Patterns of Manufacturing Industries in Tunisia Location Patterns of Manufacturing Industries in Tunisia Wided Mattoussi WIDER development conference: Think development Think WIDER Parallel session Made in Africa Motivation Firms enjoy positive externalities

More information