README

Spreadsheet Information

This spreadsheet projects the hypothetical 8‐hour ozone nonattainment areas for the 75 ppb NAAQS to

2015.  The result is used to estimate the number of marginal nonattainment areas that are expected to

attain the NAAQS by their attainment date (2015)

The spreadsheet uses information from the Cross State Air Pollution Rule (CSAPR) final rule modeling to

project observed 2008‐2010 ozone design value to 2015.  The CSAPR modeling is documented in the Air

Quality Modeling Technical Support Document available at:

http://www.epa.gov/airtransport/pdfs/AQModeling.pdf.  This version of the calculations for the final rule

also adds an analysis of 2014/2015 projected design values using the CSAPR final rule design values which

were projected from the 2003‐2007 period (the CSAPR base period).

Projection of 2008‐2010 design values to 2015

The 2008‐2010 ozone design values are projected using the modeled average percent per year change in

ozone from the 2014 CSAPR final rule modeling (CSAPR remedy case)  

The CSAPR modeling uses a base year of 2005 and a future year of 2014, which is a 9 year emissions

projection.  The percentage ozone change over the 9 year period was pro‐rated to estimate the expected

change in ozone between the 2008‐2010 period and 2015.  There are 5 years between 2010 and 2015.  

Therefore, 5/9 of the modeled percent change (between 2005 and 2014) is applied to the 2010 design

value.

For example, if the 2005 to 2014 modeled ozone reduction is 9% and the observed 2008‐2010 design value

is 100 ppb, then it is assumed that the design value will be reduced by 5% between 2010 and 2015.  

Therefore the projected 2015 design value is 95 ppb.

Projection of 2003‐2007 ambient data to 2015

For the final rule, an additional projection methodology was employed using the CSAPR 2014 design values

(which were projected from 2003‐2007 ambient data).  The new analysis of the CSAPR final rule design

values used information that was already available in the proposed rule spreadsheet.  The "Sites 08‐10 > 75"

and the "All Sites" worksheets have the CSAPR (Transport rule) 2014 design values (which were projected

using the 2003‐2007 data).  Additionally, there are 3 areas which have 2014 Transport Rule design values

which are within 0.5 ppb of the 75 ppb NAAQS.  The design values for these sites were extrapolated to 2015,

using the same linear % ozone reduction assumption from the 2008‐2010 projection methodology.  

Worksheets

Worksheet Legend‐ The "Worksheet legend" worksheet contains detailed information on the column

headings in the "All sites" and "Sites 08‐10> 75" worksheets

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README

All Sites‐ The "All Sites" worksheet contains projected ozone design values for all ozone monitoring sites

which had complete data for the 2008‐2010 design value period.

Sites 08‐10 > 75‐  The "Sites 08‐10 > 75" worksheet contains projected ozone design values for all ozone

monitoring sites which had 2008‐2010 design values > 75 ppb (above the NAAQS).

Summary Areas‐Proposal  The "Summary Areas‐ Proposal" worksheet contains the 2015 projections for the

highest monitor in each of the 53 hypothetical nonattainment areas at proposal, based on 2008‐2010

ambient data.  The worksheet shows the results for both pojection methodologies.

Summary Table‐Proposal  The "Summary Table‐Proposal" worksheet contains a summary table with the

total number of hypothetical areas (at proposal) based on 2008‐2010 ambient data, the number that are

hypothetical marginal areas, and the number that are predicted to attain by 2015 based on the two

different projection methodologies.

Summary Areas‐ Final The "Summary Areas‐ Final" worksheet contains the 2015 projections for the highest

monitor in each of the 45 hypothetical nonattainment areas for the final rule, based on 2008‐2010 ambient

data [with areas removed based on early certified data from 2009‐2011].  The worksheet shows the results

for both pojection methodologies.

Summary Table‐Final The "Summary Table‐ Final" worksheet contains a summary table with the total

number of hypothetical areas (for the final rule) based on 2008‐2010 data, the number that are hypothetical

marginal areas, and the number that are predicted to attain by 2015 based on the two different projection

methodologies.

Other Notes

The Eastern monitoring sites are projected using the CSAPR 12km Eastern modeling domain results.  The

Western sites (from Colorado and west) use the CSAPR 36km continental US modeling domain results.

The CSAPR relative response factors were only valid if there were at least 5 modeled days with an 8‐hr daily

max concentration of 60 ppb or greater.  Sites that did not have enough "high" modeled days were not

projected to 2015.  This includes one site in Sublette County WY which had a 2008‐2010 measured design

value (78 ppb) above the NAAQS.  

There is no valid ambient data for the Pechanga and Morongo Tribes.  They are included in the final rule

analysis as a hypothetical moderate and serious area respectively based on nearby ambient monitors in the

South Coast CA area.  No projections were done for these areas due to the lack of ambient data.

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Worksheet Legend

"All sites" and "Sites 08‐10> 75" Worksheet Legend

Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐2007 Design Value Transport Rule 2014 projected design value RRF 

AIRS ID for each monitor Monitor

Latitiude

Monitor

Longitude

Observed 5 yearweighted averagedesign value for the2003‐2007 period

Projected 2014 design

value from the CSAPRfinal rule modeling

Relative ResponseFactor (CSAPRmodeled percentchange in ozone

design value)

State County Hypothetical Area Type Hypothetical NAA Name 2008‐2010 Design Value 

State Name County

Name

Hypothetical Area Type(ExistingNonattainment Area,CSA, CBSA, orindividual county)

Hypothetical NAA Name

(Based on name ofcurrent NAA, CSA, CBSA,

or County)

Observed 2008‐2010Design Value

Page 1 of 1
All sites

Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

390990013 41.096111 ‐80.658611 78.7 67.9 0.8636 13.6% Ohio Mahoning NAA Youngstown‐

391550009 41.453889 ‐80.591667 80 68.8 0.861 13.9% Ohio Trumbull NAA Youngstown‐

420850100 41.2150135 ‐80.484779 82 70.5 0.8609 13.9% Pennsylvania Mercer NAA Youngstown‐

391550011 41.240077 ‐80.663142 84.3 72.5 0.8606 13.9% Ohio Trumbull NAA Youngstown‐

421330008 39.965278 ‐76.699444 82 71.9 0.8777 12.2% Pennsylvania York NAA York, PA 420010002 39.93 ‐77.25 76.3 65.8 0.863 13.7% Pennsylvania Adams NAA York, PA 

511970002 36.89117 ‐81.25423 72.7 63.3 0.8709 12.9% Virginia Wythe County Wythe Count420810100 41.2508 ‐76.9238 77.3 67.2 0.8699 13.0% Pennsylvania Lycoming CSA Williamsport‐

201730010 37.701111 ‐97.313889 71.3 61.8 0.8678 13.2% Kansas Sedgwick CSA Wichita‐Winf

201730001 37.781389 ‐97.337222 64.3 55.7 0.8667 13.3% Kansas Sedgwick CSA Wichita‐Winf

201910002 37.476944 ‐97.366389 71.7 61.8 0.8625 13.8% Kansas Sumner CSA Wichita‐Winf

551270005 42.58 ‐88.499167 75.7 66.8 0.8834 11.7% Wisconsin Walworth CBSA Whitewater, 320330101 39.005278 ‐114.21583 72.3 66.4 0.9197 8.0% Nevada White Pine County White Pine Co

540690010 40.1148756 ‐80.700972 78.3 66.5 0.8497 15.0% West Virginia Ohio NAA Wheeling, WV

550730012 44.707222 ‐89.769722 70 61.9 0.8848 11.5% Wisconsin Marathon CSA Wausau‐Mer

550550002 43.001389 ‐88.812222 74.3 64.8 0.8723 12.8% Wisconsin Jefferson CBSA Watertown‐F

190170011 42.743056 ‐92.513056 66.3 58.2 0.8787 12.1% Iowa Bremer CBSA Waterloo‐Ced

510690010 39.28102 ‐78.08157 72.3 62.3 0.863 13.7% Virginia Frederick CSA Washington‐

515100009 38.810403 ‐77.04435 81.7 72.7 0.8908 10.9% Virginia Alexandria CityNAA Washington, 

110010025 38.975278 ‐77.022778 79.7 70.8 0.8888 11.1% District Of ColumbDistrict of ColuNAA Washington, 510130020 38.8577 ‐77.05922 86.7 76.9 0.888 11.2% Virginia Arlington NAA Washington, 

510590030 38.77335 ‐77.10468 88 78 0.8864 11.4% Virginia Fairfax NAA Washington, 110010043 38.921847 ‐77.013178 84.7 74.8 0.8835 11.7% District Of ColumbDistrict of ColuNAA Washington, 

110010041 38.897222 ‐76.952778 80.3 70.9 0.8835 11.7% District Of ColumbDistrict of ColuNAA Washington, 240313001 39.114444 ‐77.106944 83 73.2 0.883 11.7% Maryland Montgomery NAA Washington, 240330030 39.055277 ‐76.878333 85 74.8 0.881 11.9% Maryland Prince George NAA Washington, 

510610002 38.47367 ‐77.76772 72.7 63 0.8674 13.3% Virginia Fauquier NAA Washington, 

511530009 38.85287 ‐77.63462 78.7 68.1 0.866 13.4% Virginia Prince WilliamNAA Washington, 

511071005 39.02473 ‐77.48925 80.7 69.8 0.8651 13.5% Virginia Loudoun NAA Washington, 

240210037 39.408056 ‐77.375833 80.3 69.2 0.8621 13.8% Maryland Frederick NAA Washington, 

240338003 38.81194 ‐76.74417 91 78.3 0.8609 13.9% Maryland Prince George NAA Washington, 

240090011 38.536722 ‐76.617194 81 69.1 0.8542 14.6% Maryland Calvert NAA Washington, 

240170010 38.504167 ‐76.811944 86 72.6 0.8448 15.5% Maryland Charles NAA Washington, 230290019 44.533611 ‐67.594167 ‐7 ‐9 0.8657 13.4% Maine Washington County Washington C450290002 33.007866 ‐80.965038 72.3 60.9 0.8431 15.7% South Carolina Colleton CBSA Walterboro, S

484690003 28.836162 ‐97.005534 72.3 65.1 0.901 9.9% Texas Victoria CBSA Victoria, TX 

551230008 43.702222 ‐90.568333 69.7 60.9 0.8742 12.6% Wisconsin Vernon County Vernon Coun

61112002 34.2775 ‐118.68472 89.7 84.5 0.9426 5.7% California Ventura NAA Ventura Co, C

61110009 34.404611 ‐118.81 84 79.1 0.9426 5.7% California Ventura NAA Ventura Co, C

61111004 34.448333 ‐119.23028 88.3 81.4 0.9223 7.8% California Ventura NAA Ventura Co, C

61110007 34.21 ‐118.86944 79 72.8 0.9223 7.8% California Ventura NAA Ventura Co, C

61113001 34.255 ‐119.1425 63 58.1 0.9223 7.8% California Ventura NAA Ventura Co, C

191770006 40.695078 ‐92.006318 69 60.7 0.8808 11.9% Iowa Van Buren County Van Buren Co

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All sites

Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

360430005 43.68578 ‐74.98538 68.3 61.2 0.8972 10.3% New York Herkimer CBSA Utica‐Rome, 

360650004 43.30268 ‐75.71978 68.3 60.5 0.8871 11.3% New York Oneida CBSA Utica‐Rome, 

60450008 39.15 ‐123.19972 56.7 52.2 0.9214 7.9% California Mendocino CBSA Ukiah, CA 

484230007 32.343988 ‐95.415765 81 71.7 0.8854 11.5% Texas Smith CSA Tyler‐Jackson

11250010 33.0895996 ‐87.459731 73.3 61 0.8335 16.7% Alabama Tuscaloosa CBSA Tuscaloosa, A

280810005 34.264917 ‐88.766222 73.7 62 0.8424 15.8% Mississippi Lee CBSA Tupelo, MS 

401430178 36.133802 ‐95.764537 79.3 69 0.8713 12.9% Oklahoma Tulsa CSA Tulsa‐Bartlesv

401430174 35.953708 ‐96.004975 74 64.1 0.867 13.3% Oklahoma Tulsa CSA Tulsa‐Bartlesv

401431127 36.204902 ‐95.976537 77 66.7 0.8669 13.3% Oklahoma Tulsa CSA Tulsa‐Bartlesv401430137 36.357438 ‐95.999247 79.3 68.2 0.8611 13.9% Oklahoma Tulsa CSA Tulsa‐Bartlesv

400370144 36.105481 ‐96.361196 76.7 65.7 0.8566 14.3% Oklahoma Creek CSA Tulsa‐Bartlesv

40190021 32.174563 ‐110.73712 76 68.1 0.8972 10.3% Arizona Pima CBSA Tucson, AZ 40191020 32.04767 ‐110.77436 69 61.9 0.8972 10.3% Arizona Pima CBSA Tucson, AZ 40191030 31.87952 ‐110.99644 67.5 60.5 0.8969 10.3% Arizona Pima CBSA Tucson, AZ 

40191018 32.425261 ‐111.06352 71.7 64.2 0.8954 10.5% Arizona Pima CBSA Tucson, AZ 

40191028 32.29515 ‐110.9823 72 64.4 0.8954 10.5% Arizona Pima CBSA Tucson, AZ 

40191034 32.38082 ‐111.12716 67.5 60.4 0.8954 10.5% Arizona Pima CBSA Tucson, AZ 

40191011 32.2044107 ‐110.87867 70.7 63.2 0.8952 10.5% Arizona Pima CBSA Tucson, AZ 

40191032 32.172989 ‐110.98011 66.5 59.5 0.8952 10.5% Arizona Pima CBSA Tucson, AZ 

201950001 38.770278 ‐99.763611 70.7 ‐9 ‐9 Kansas Trego County Trego County

201770013 39.02427 ‐95.71128 ‐7 ‐9 0.8479 15.2% Kansas Shawnee CBSA Topeka, KS 

390950024 41.644167 ‐83.546667 76.3 67.9 0.8907 10.9% Ohio Lucas NAA Toledo, OH 

390950027 41.494722 ‐83.718611 77.7 69 0.8891 11.1% Ohio Lucas NAA Toledo, OH 

390950034 41.675556 ‐83.306944 81.3 71.7 0.883 11.7% Ohio Lucas NAA Toledo, OH 

391730003 41.378056 ‐83.611667 80 70.1 0.8769 12.3% Ohio Wood NAA Toledo, OH 421174000 41.644722 ‐76.939167 77.7 68.1 0.8772 12.3% Pennsylvania Tioga NAA Tioga Co, PA 

181670018 39.48615 ‐87.401398 63 54.6 0.8671 13.3% Indiana Vigo NAA Terre Haute, 

181670024 39.560556 ‐87.313056 74 63.9 0.8641 13.6% Indiana Vigo NAA Terre Haute, 

120571065 27.892222 ‐82.538611 80.7 74.9 0.9282 7.2% Florida Hillsborough CBSA Tampa‐St. Pe

120571035 27.928056 ‐82.454722 74 67.7 0.9161 8.4% Florida Hillsborough CBSA Tampa‐St. Pe120570081 27.739722 ‐82.465278 78.7 72 0.915 8.5% Florida Hillsborough CBSA Tampa‐St. Pe120573002 27.96565 ‐82.2304 77.5 68.2 0.88 12.0% Florida Hillsborough CBSA Tampa‐St. Pe121035002 28.09 ‐82.700833 72.7 63.2 0.8707 12.9% Florida Pinellas CBSA Tampa‐St. Pe121030004 27.946389 ‐82.731944 72.3 62.8 0.8694 13.1% Florida Pinellas CBSA Tampa‐St. Pe121030018 27.785556 ‐82.74 69.7 60 0.8614 13.9% Florida Pinellas CBSA Tampa‐St. Pe121010005 28.331944 ‐82.305833 76.3 64.9 0.8511 14.9% Florida Pasco CBSA Tampa‐St. Pe121012001 28.195 ‐82.758056 73.3 62.1 0.8484 15.2% Florida Pasco CBSA Tampa‐St. Pe121290001 30.093056 ‐84.161944 71.3 61.8 0.8672 13.3% Florida Wakulla CBSA Tallahassee, F120730013 30.484444 ‐84.199167 71 59.4 0.838 16.2% Florida Leon CBSA Tallahassee, F120730012 30.439722 ‐84.348333 70 58.6 0.8373 16.3% Florida Leon CBSA Tallahassee, F400219002 35.85408 ‐94.985964 75.7 65.4 0.8642 13.6% Oklahoma Cherokee CBSA Tahlequah, O

360750003 43.28428 ‐76.46324 78 69.5 0.892 10.8% New York Oswego CSA Syracuse‐Aub360671015 43.05235 ‐76.05921 73.7 64.3 0.8725 12.8% New York Onondaga CSA Syracuse‐Aub

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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

360530006 42.73046 ‐75.78444 72 62.7 0.871 12.9% New York Madison CSA Syracuse‐Aub

61010004 39.205572 ‐121.82036 82 73.3 0.8947 10.5% California Sutter NAA Sutter Co (Su

11190002 32.3640099 ‐88.201865 64 57.9 0.9053 9.5% Alabama Sumter County Sumter Coun

130550001 34.4742929 ‐85.408003 75 62.3 0.832 16.8% Georgia Chattooga CBSA Summerville, 560350099 42.719 ‐109.753 ‐7 ‐9 ‐9 Wyoming Sublette County Sublette Cou

560350100 42.7907 ‐110.0551 ‐7 ‐9 ‐9 Wyoming Sublette County Sublette Cou540291004 40.4215389 ‐80.580717 75.7 65.4 0.8651 13.5% West Virginia Hancock NAA Steubenville‐390810017 40.366104 ‐80.615002 78 66.9 0.8585 14.2% Ohio Jefferson NAA Steubenville‐420270100 40.811389 ‐77.877028 78.3 69.4 0.8876 11.2% Pennsylvania Centre NAA State College

295100085 38.6564849 ‐90.198759 84 75.9 0.904 9.6% Missouri St. Louis City NAA St. Louis, MO291890014 38.7109 ‐90.4759 88 79.3 0.902 9.8% Missouri Saint Louis NAA St. Louis, MO171630010 38.6120345 ‐90.160477 81.7 73.4 0.8996 10.0% Illinois Saint Clair NAA St. Louis, MO

291890005 38.4902 ‐90.7052 83 74.1 0.8935 10.7% Missouri Saint Louis NAA St. Louis, MO171191009 38.7265726 ‐89.959963 83 73.5 0.8864 11.4% Illinois Madison NAA St. Louis, MO

291831004 38.902222 ‐90.446944 87 76.9 0.8842 11.6% Missouri Saint Charles NAA St. Louis, MO291831002 38.8725459 ‐90.226489 86.3 76 0.8809 11.9% Missouri Saint Charles NAA St. Louis, MO

291130003 39.0447 ‐90.8647 87 76.5 0.8803 12.0% Missouri Lincoln NAA St. Louis, MO

171190008 38.890186 ‐90.148031 82.7 72.3 0.8751 12.5% Illinois Madison NAA St. Louis, MO

171193007 38.8606695 ‐90.105851 81 70.8 0.8751 12.5% Illinois Madison NAA St. Louis, MO

170831001 39.1105395 ‐90.32408 78.7 68.1 0.866 13.4% Illinois Jersey NAA St. Louis, MO171170002 39.3960753 ‐89.809739 73 62.2 0.8524 14.8% Illinois Macoupin NAA St. Louis, MO

220930002 29.994444 ‐90.82 76.3 69.3 0.9085 9.2% Louisiana St. James County St. James Cou

490530130 37.1983 ‐113.1506 78.5 71.3 0.9089 9.1% Utah Washington CBSA St. George, U

290770036 37.256136 ‐93.299886 73 63.2 0.866 13.4% Missouri Greene CBSA Springfield, M250154002 42.2982787 ‐72.333904 85 73 0.8595 14.1% Massachusetts Hampshire NAA Springfield (W

250150103 42.4005787 ‐72.523109 71.7 61.3 0.8563 14.4% Massachusetts Hampshire NAA Springfield (W250130008 42.1943805 ‐72.555112 87.3 74.5 0.8535 14.7% Massachusetts Hampden NAA Springfield (W530630046 47.827222 ‐117.27528 68.3 ‐9 ‐9 Washington Spokane CBSA Spokane, WA 

181410010 41.5516958 ‐86.370589 74.7 66.3 0.8876 11.2% Indiana St. Joseph NAA South Bend‐E

181411007 41.7425981 ‐86.110522 79.3 69.3 0.8741 12.6% Indiana St. Joseph NAA South Bend‐E

181410015 41.696692 ‐86.214683 75 65.5 0.8741 12.6% Indiana St. Joseph NAA South Bend‐E

180390007 41.71805 ‐85.83055 79 69 0.8737 12.6% Indiana Elkhart NAA South Bend‐E211990003 37.0975 ‐84.611667 70.3 61.5 0.8757 12.4% Kentucky Pulaski CBSA Somerset, KY 

60932001 41.728333 ‐122.63444 63.5 ‐9 ‐9 California Siskiyou County Siskiyou Coun

212130004 36.708611 ‐86.566389 75.7 64.4 0.8508 14.9% Kentucky Simpson County Simpson Cou

40038001 32.116944 ‐109.46694 71.3 66 0.9265 7.4% Arizona Cochise CBSA Sierra Vista‐D

220150008 32.53626 ‐93.74891 78 67.3 0.8633 13.7% Louisiana Bossier CSA Shreveport‐B

220170001 32.676389 ‐93.859722 79 67.9 0.8605 14.0% Louisiana Caddo CSA Shreveport‐B551170006 43.666944 ‐87.716389 88 79.8 0.9079 9.2% Wisconsin Sheboygan NAA Sheboygan, W120550003 27.188889 ‐81.340556 72.3 62.6 0.8667 13.3% Florida Highlands CBSA Sebring, FL 530670005 46.952562 ‐122.59527 ‐7 ‐9 0.9516 4.8% Washington Thurston CSA Seattle‐Tacom530330080 47.568333 ‐122.30806 ‐7 ‐9 0.947 5.3% Washington King CSA Seattle‐Tacom530330017 47.489722 ‐121.77333 66.3 62.5 0.9434 5.7% Washington King CSA Seattle‐Tacom

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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

530330010 47.5525 ‐122.06472 60.3 56.8 0.9434 5.7% Washington King CSA Seattle‐Tacom

530531010 46.761389 ‐122.12167 ‐7 ‐9 0.9369 6.3% Washington Pierce CSA Seattle‐Tacom530330023 47.141111 ‐121.93306 72.3 67.6 0.9355 6.5% Washington King CSA Seattle‐Tacom530531008 46.843056 ‐122.3175 68.7 ‐9 ‐9 Washington Pierce CSA Seattle‐Tacom420890002 41.08306 ‐75.32328 ‐7 ‐9 0.8705 13.0% Pennsylvania Monroe NAA Scranton‐Wil420690101 41.479116 ‐75.578186 74.3 64.6 0.8697 13.0% Pennsylvania Lackawanna NAA Scranton‐Wil420692006 41.442778 ‐75.623056 75.3 65.2 0.8663 13.4% Pennsylvania Lackawanna NAA Scranton‐Wil420791100 41.209167 ‐76.003333 69.3 59.9 0.8654 13.5% Pennsylvania Luzerne NAA Scranton‐Wil420791101 41.265556 ‐75.846389 76.3 65.9 0.864 13.6% Pennsylvania Luzerne NAA Scranton‐Wil261530001 46.2888772 ‐85.950227 79.3 69.6 0.8783 12.2% Michigan Schoolcraft County Schoolcraft C

130510021 32.0692299 ‐81.048769 68.3 59 0.8653 13.5% Georgia Chatham CSA Savannah‐Hin

121151006 27.350278 ‐82.48 73.3 62.5 0.8528 14.7% Florida Sarasota CSA Sarasota‐Brad121151005 27.306944 ‐82.570556 77.3 65.3 0.8453 15.5% Florida Sarasota CSA Sarasota‐Brad121152002 27.089194 ‐82.362583 73.5 62 0.8438 15.6% Florida Sarasota CSA Sarasota‐Brad

60834003 34.596111 ‐120.63028 65.3 61.8 0.9478 5.2% California Santa Barbara CBSA Santa Barbara60831018 34.52744 ‐120.1965 56.7 53.3 0.941 5.9% California Santa Barbara CBSA Santa Barbara60831013 34.725556 ‐120.42778 66.3 61.6 0.9303 7.0% California Santa Barbara CBSA Santa Barbara60832004 34.63782 ‐120.4575 54 50.2 0.9303 7.0% California Santa Barbara CBSA Santa Barbara60831021 34.402778 ‐119.4575 60.7 56 0.924 7.6% California Santa Barbara CBSA Santa Barbara60831008 34.949167 ‐120.43667 50.7 46.7 0.9226 7.7% California Santa Barbara CBSA Santa Barbara60831025 34.48974 ‐120.04692 73.3 67.6 0.9225 7.8% California Santa Barbara CBSA Santa Barbara60831014 34.54166 ‐119.79146 76 70.1 0.9225 7.8% California Santa Barbara CBSA Santa Barbara60833001 34.60839 ‐120.0747 65.3 60.2 0.9225 7.8% California Santa Barbara CBSA Santa Barbara60830008 34.46245 ‐120.02551 62.3 57.4 0.9225 7.8% California Santa Barbara CBSA Santa Barbara60830011 34.427776 ‐119.69028 60.5 55.8 0.9225 7.8% California Santa Barbara CBSA Santa Barbara60832011 34.44551 ‐119.8284 62.7 57.8 0.9225 7.8% California Santa Barbara CBSA Santa Barbara60793001 35.365684 ‐120.84286 54.3 50.6 0.932 6.8% California San Luis Obisp CBSA San Luis Obis

60794002 35.031531 ‐120.50093 60.7 56 0.9226 7.7% California San Luis Obisp CBSA San Luis Obis

60798005 35.644167 ‐120.23 ‐7 ‐9 0.9174 8.3% California San Luis Obisp CBSA San Luis Obis

60798006 35.600625 ‐120.25423 ‐7 ‐9 0.9174 8.3% California San Luis Obisp CBSA San Luis Obis

60798001 35.491389 ‐120.66806 67.3 61.7 0.9173 8.3% California San Luis Obisp CBSA San Luis Obis

60792006 35.256606 ‐120.66889 ‐7 ‐9 0.9173 8.3% California San Luis Obisp CBSA San Luis Obis

490370101 38.45 ‐109.81667 70.3 65.9 0.9387 6.1% Utah San Juan County San Juan Cou

60290007 35.346111 ‐118.85111 98.7 90 0.9125 8.8% California Kern NAA San Joaquin V

60290232 35.438889 ‐119.01583 95.7 87.3 0.9125 8.8% California Kern NAA San Joaquin V

60290014 35.356111 ‐119.04028 97.7 89.1 0.9125 8.8% California Kern NAA San Joaquin V

60296001 35.503611 ‐119.27167 89 81.2 0.9125 8.8% California Kern NAA San Joaquin V61072002 36.332222 ‐119.29028 92 83.3 0.906 9.4% California Tulare NAA San Joaquin V60310500 36.233318 ‐119.76525 ‐7 ‐9 0.906 9.4% California Kings NAA San Joaquin V

60194001 36.5975 ‐119.50361 93.7 84.8 0.9056 9.4% California Fresno NAA San Joaquin V

60190007 36.705556 ‐119.74139 87.7 79.4 0.9054 9.5% California Fresno NAA San Joaquin V

60290008 35.054444 ‐119.40389 89.3 80.8 0.9052 9.5% California Kern NAA San Joaquin V

60195001 36.819167 ‐119.71639 91.3 82.4 0.9027 9.7% California Fresno NAA San Joaquin V

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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

60190008 36.781389 ‐119.77222 98.3 88.7 0.9027 9.7% California Fresno NAA San Joaquin V61070009 36.489167 ‐118.82694 103.7 93.6 0.9027 9.7% California Tulare NAA San Joaquin V

60190242 36.841389 ‐119.87444 96.3 86.9 0.9027 9.7% California Fresno NAA San Joaquin V

61070006 36.567222 ‐118.77806 96 86.6 0.9027 9.7% California Tulare NAA San Joaquin V60390004 36.866667 ‐120.01 79.3 71.5 0.9027 9.7% California Madera NAA San Joaquin V

60990005 37.641667 ‐120.99361 84.7 76.2 0.8999 10.0% California Stanislaus NAA San Joaquin V

60773005 37.6825 ‐121.44056 ‐7 ‐9 0.8998 10.0% California San Joaquin NAA San Joaquin V60771002 37.950833 ‐121.2675 75.3 67.7 0.8994 10.1% California San Joaquin NAA San Joaquin V60990006 37.488333 ‐120.83583 84.7 76.1 0.8987 10.1% California Stanislaus NAA San Joaquin V

60295001 35.208333 ‐118.78444 110 98.7 0.8978 10.2% California Kern NAA San Joaquin V

60470003 37.281667 ‐120.43361 89.3 79.9 0.8955 10.5% California Merced NAA San Joaquin V

60410001 37.9722564 ‐122.52109 49.7 47.5 0.9577 4.2% California Marin NAA San Francisco 

60970003 38.4435 ‐122.71 47.7 45.2 0.9493 5.1% California Sonoma NAA San Francisco 60950004 38.1027 ‐122.2382 57 53.4 0.9373 6.3% California Solano NAA San Francisco 60550003 38.310833 ‐122.29472 59.3 55.5 0.9365 6.4% California Napa NAA San Francisco 60870007 36.984 ‐121.9883 54.7 50.7 0.9269 7.3% California Santa Cruz NAA San Francisco 60690003 36.485278 ‐121.15556 75 69.2 0.9228 7.7% California San Benito NAA San Francisco 60852006 37.079444 ‐121.59917 75.3 69.3 0.9204 8.0% California Santa Clara NAA San Francisco 60750005 37.766 ‐122.3991 46 42.2 0.9174 8.3% California San Francisco NAA San Francisco 60850002 37 ‐121.57444 70.3 64.4 0.9171 8.3% California Santa Clara NAA San Francisco 60690002 36.844167 ‐121.36111 68 62.3 0.9171 8.3% California San Benito NAA San Francisco 60850005 37.3485 ‐121.895 61.7 56.3 0.9132 8.7% California Santa Clara NAA San Francisco 60011001 37.5358 ‐121.9619 59.3 54.1 0.9132 8.7% California Alameda NAA San Francisco 60811001 37.4829 ‐122.2034 53.7 49 0.9132 8.7% California San Mateo NAA San Francisco 60950005 38.22694 ‐122.07583 67.7 61.8 0.9131 8.7% California Solano NAA San Francisco 60010007 37.6875 ‐121.7842 78.3 71.1 0.9086 9.1% California Alameda NAA San Francisco 60130002 37.936 ‐122.0262 73.3 66.6 0.9086 9.1% California Contra Costa NAA San Francisco 60131002 38.010556 ‐121.64139 72.7 65.3 0.8994 10.1% California Contra Costa NAA San Francisco 60731001 32.952089 ‐117.26406 69 63.2 0.9161 8.4% California San Diego NAA San Diego, CA 

60732007 32.552164 ‐116.93777 63 57.7 0.9159 8.4% California San Diego NAA San Diego, CA 60730003 32.791194 ‐116.94209 71.7 65.4 0.9134 8.7% California San Diego NAA San Diego, CA 

60730006 32.836461 ‐117.12872 72.3 66 0.9134 8.7% California San Diego NAA San Diego, CA 

60730001 32.631231 ‐117.05908 66.7 60.9 0.9134 8.7% California San Diego NAA San Diego, CA 

60731010 32.701492 ‐117.14965 59.3 54.1 0.9134 8.7% California San Diego NAA San Diego, CA 

60731008 33.217025 ‐117.39616 73 66.4 0.9101 9.0% California San Diego NAA San Diego, CA 60731006 32.842297 ‐116.76833 87.7 79.6 0.9078 9.2% California San Diego NAA San Diego, CA 

60731002 33.127711 ‐117.07533 73.3 66.4 0.9062 9.4% California San Diego NAA San Diego, CA 

480290059 29.275387 ‐98.311666 76.7 70.4 0.9184 8.2% Texas Bexar CBSA San Antonio, 

480290052 29.632089 ‐98.564939 85 76.1 0.8958 10.4% Texas Bexar CBSA San Antonio, 

480290032 29.51505 ‐98.620191 82 72.9 0.89 11.0% Texas Bexar CBSA San Antonio, 

490030003 41.492778 ‐112.01806 76 69.4 0.9133 8.7% Utah Box Elder CSA Salt Lake City

490110004 40.902967 ‐111.88447 81.3 73.8 0.9083 9.2% Utah Davis CSA Salt Lake City490352004 40.736389 ‐112.21028 81 73.5 0.9083 9.2% Utah Salt Lake CSA Salt Lake City

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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

490571003 41.303683 ‐111.98707 80.3 72.9 0.9083 9.2% Utah Weber CSA Salt Lake City

490350003 40.646667 ‐111.84972 81 73.4 0.9072 9.3% Utah Salt Lake CSA Salt Lake City490450003 40.543371 ‐112.29881 78 70.7 0.9072 9.3% Utah Tooele CSA Salt Lake City

60530002 36.495833 ‐121.73056 61 56.6 0.9287 7.1% California Monterey CBSA Salinas, CA 

60531003 36.69683 ‐121.63617 55.7 51 0.9171 8.3% California Monterey CBSA Salinas, CA 

410470004 44.809444 ‐122.91361 65.7 59.6 0.9082 9.2% Oregon Marion CBSA Salem, OR 

291860005 37.90084 ‐90.42388 79.7 71.6 0.8986 10.1% Missouri Sainte GenevieCounty Sainte Genev

60953003 38.358365 ‐121.95 73.5 66.3 0.9032 9.7% California Solano NAA Sacramento M61010003 39.138889 ‐121.6175 74 66.2 0.8947 10.5% California Sutter NAA Sacramento M

60670011 38.301944 ‐121.42222 82.3 73.3 0.8918 10.8% California Sacramento NAA Sacramento M

60670012 38.683889 ‐121.16278 97.3 86.5 0.8892 11.1% California Sacramento NAA Sacramento M

60675003 38.494444 ‐121.21 94.3 83.8 0.8892 11.1% California Sacramento NAA Sacramento M

60610006 38.745833 ‐121.26528 88 78.2 0.8892 11.1% California Placer NAA Sacramento M60670006 38.614167 ‐121.36694 90.7 80.6 0.8892 11.1% California Sacramento NAA Sacramento M

60670010 38.558333 ‐121.49194 75.7 67.3 0.8892 11.1% California Sacramento NAA Sacramento M

61130004 38.533333 ‐121.775 74 65.8 0.8892 11.1% California Yolo NAA Sacramento M61131003 38.661944 ‐121.72778 78.7 69.9 0.8892 11.1% California Yolo NAA Sacramento M

60170010 38.727222 ‐120.81806 93.7 83.2 0.889 11.1% California El Dorado NAA Sacramento M60170020 38.890556 ‐121 96 85.2 0.8884 11.2% California El Dorado NAA Sacramento M

60610002 38.937778 ‐121.10389 91.3 81.1 0.8884 11.2% California Placer NAA Sacramento M

60610004 39.100278 ‐120.95278 94 83.5 0.8884 11.2% California Placer NAA Sacramento M

370650099 35.988333 ‐77.582778 77 65.2 0.8477 15.2% North Carolina Edgecombe NAA Rocky Mount

172012001 42.3349822 ‐89.037775 68.3 59.6 0.8735 12.7% Illinois Winnebago CSA Rockford‐Fre

511630003 37.62668 ‐79.51257 69.7 60.6 0.8705 13.0% Virginia Rockbridge County Rockbridge C

560370200 41.6774528 ‐108.02458 ‐7 ‐9 0.9186 8.1% Wyoming Sweetwater CBSA Rock Springs, 

360551007 43.14618 ‐77.54817 76.3 68 0.8924 10.8% New York Monroe NAA Rochester, NY 

361173001 43.23086 ‐77.17136 68 60.3 0.8878 11.2% New York Wayne NAA Rochester, NY 

511611004 37.28342 ‐79.88452 74.7 65.7 0.8806 11.9% Virginia Roanoke CBSA Roanoke, VA 

60655001 33.85275 ‐116.54101 102.3 93.3 0.9129 8.7% California Riverside NAA Riverside Co 

60652002 33.70853 ‐116.21537 91 81.5 0.8957 10.4% California Riverside NAA Riverside Co 60651999 33.56125 ‐116.15338 ‐7 ‐9 0.8957 10.4% California Riverside NAA Riverside Co 

510360002 37.34438 ‐77.25925 80.3 70.2 0.8751 12.5% Virginia Charles NAA Richmond‐Pe510410004 37.35748 ‐77.59355 76.7 66.6 0.8696 13.0% Virginia Chesterfield NAA Richmond‐Pe510870014 37.55652 ‐77.40027 82 71.1 0.8677 13.2% Virginia Henrico NAA Richmond‐Pe510850003 37.60613 ‐77.2188 81.3 70.3 0.8656 13.4% Virginia Hanover NAA Richmond‐Pe

510330001 38.20087 ‐77.37742 80 68.7 0.8593 14.1% Virginia Caroline NAA Richmond‐Pe320312009 39.645264 ‐119.84003 67.7 61.3 0.9063 9.4% Nevada Washoe CSA Reno‐Sparks‐

320310016 39.5250833 ‐119.80772 70 63.4 0.9063 9.4% Nevada Washoe CSA Reno‐Sparks‐

320311005 39.5409171 ‐119.74676 70.7 64 0.9063 9.4% Nevada Washoe CSA Reno‐Sparks‐

320310020 39.4692185 ‐119.77535 70.7 64 0.9063 9.4% Nevada Washoe CSA Reno‐Sparks‐

320310025 39.3998365 ‐119.73961 67.3 60.6 0.9016 9.8% Nevada Washoe CSA Reno‐Sparks‐

60890007 40.453056 ‐122.29778 79.3 72.8 0.9186 8.1% California Shasta CBSA Redding, CA 

60890004 40.549722 ‐122.37917 78 71.6 0.9186 8.1% California Shasta CBSA Redding, CA 

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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

60893003 40.536944 ‐121.5725 69.7 63.5 0.9124 8.8% California Shasta CBSA Redding, CA 61030004 40.262222 ‐122.09278 82.7 75.7 0.9156 8.4% California Tehama CBSA Red Bluff, CA 

420110011 40.38335 ‐75.9686 ‐7 ‐9 0.8703 13.0% Pennsylvania Berks NAA Reading, PA 

460930001 44.155636 ‐103.31577 ‐7 ‐9 ‐9 South Dakota Meade CBSA Rapid City, SD 

171570001 38.1762776 ‐89.788459 72 64.6 0.8977 10.2% Illinois Randolph County Randolph Cou371830014 35.856111 ‐78.574167 80.3 68.5 0.8536 14.6% North Carolina Wake NAA Raleigh‐Durh

370630015 35.99194 ‐78.89639 ‐7 ‐9 0.8471 15.3% North Carolina Durham NAA Raleigh‐Durh

370690001 36.096189 ‐78.463719 78.7 66.5 0.8455 15.5% North Carolina Franklin NAA Raleigh‐Durh

371830016 35.596944 ‐78.7925 80 67.4 0.8431 15.7% North Carolina Wake NAA Raleigh‐Durh

371010002 35.590833 ‐78.461944 77.3 64.9 0.8401 16.0% North Carolina Johnston NAA Raleigh‐Durh

370770001 36.141111 ‐78.768056 82 68.6 0.837 16.3% North Carolina Granville NAA Raleigh‐Durh370370004 35.757222 ‐79.159722 73.3 61.3 0.8367 16.3% North Carolina Chatham NAA Raleigh‐Durh

371450003 36.306965 ‐79.09197 77.3 64.1 0.8303 17.0% North Carolina Person NAA Raleigh‐Durh

170010007 39.9154094 ‐91.335868 ‐7 ‐9 0.886 11.4% Illinois Adams CBSA Quincy, IL‐MO 

490495008 40.430278 ‐111.80389 76 68.9 0.9072 9.3% Utah Utah CBSA Provo‐Orem, 490490002 40.253611 ‐111.66306 74.3 66.1 0.8909 10.9% Utah Utah CBSA Provo‐Orem, 

490495010 40.136389 ‐111.65972 76.7 68.3 0.8909 10.9% Utah Utah CBSA Provo‐Orem, 

440090007 41.491667 ‐71.427778 86 75.3 0.8766 12.3% Rhode Island Washington NAA Providence (a

440071010 41.84092 ‐71.36094 82.3 71.6 0.871 12.9% Rhode Island Providence NAA Providence (a

440030002 41.6156 ‐71.7199 84.3 73 0.866 13.4% Rhode Island Kent NAA Providence (a

360715001 41.52375 ‐74.21534 82 72.7 0.8867 11.3% New York Orange NAA Poughkeepsie

360790005 41.45589 ‐73.70977 84.3 74.2 0.881 11.9% New York Putnam NAA Poughkeepsie

360270007 41.78555 ‐73.74136 75.7 65.8 0.8699 13.0% New York Dutchess NAA Poughkeepsie

410090004 45.768056 ‐122.77194 58.7 54.2 0.9235 7.7% Oregon Columbia CBSA Portland‐Van

410510080 45.496667 ‐122.60222 57 52.4 0.9193 8.1% Oregon Multnomah CBSA Portland‐Van530110011 45.616667 ‐122.51667 59.5 54.6 0.9193 8.1% Washington Clark CBSA Portland‐Van410050004 45.259722 ‐122.5875 66.3 60.8 0.918 8.2% Oregon Clackamas CBSA Portland‐Van230312002 43.343056 ‐70.471389 74 64.3 0.8697 13.0% Maine York NAA Portland, ME 230052003 43.5610032 ‐70.206747 72 62 0.8622 13.8% Maine Cumberland NAA Portland, ME 

230010014 43.974622 ‐70.124608 ‐7 ‐9 0.8611 13.9% Maine Androscoggin NAA Portland, ME 

230310038 43.6567258 ‐70.628574 73.7 63.4 0.8604 14.0% Maine York NAA Portland, ME 

530090013 48.286719 ‐124.62034 ‐7 ‐9 ‐9 Washington Clallam CBSA Port Angeles, 

400719010 36.956222 ‐97.03135 78 66.8 0.857 14.3% Oklahoma Kay CBSA Ponca City, O

51130003 34.454406 ‐94.143316 75 65.9 0.8787 12.1% Arkansas Polk County Polk County, 

421250005 40.146667 ‐79.902222 78.3 69.9 0.8935 10.7% Pennsylvania Washington NAA Pittsburgh‐Be

420030008 40.465556 ‐79.961111 79.3 70.6 0.8905 11.0% Pennsylvania Allegheny NAA Pittsburgh‐Be420030010 40.4455765 ‐80.016155 82.3 73.2 0.8905 11.0% Pennsylvania Allegheny NAA Pittsburgh‐Be421290006 40.428076 ‐79.692811 78.3 69.4 0.8864 11.4% Pennsylvania WestmorelandNAA Pittsburgh‐Be421290008 40.304694 ‐79.505667 79 69.8 0.8838 11.6% Pennsylvania WestmorelandNAA Pittsburgh‐Be420031005 40.617222 ‐79.732222 83.7 73.9 0.8833 11.7% Pennsylvania Allegheny NAA Pittsburgh‐Be421250200 40.170556 ‐80.261389 77.3 68.2 0.8827 11.7% Pennsylvania Washington NAA Pittsburgh‐Be420030067 40.381944 ‐80.185556 80.3 70.7 0.8805 12.0% Pennsylvania Allegheny NAA Pittsburgh‐Be420070014 40.7477959 ‐80.316442 74 65 0.8794 12.1% Pennsylvania Beaver NAA Pittsburgh‐Be

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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

420070005 40.684722 ‐80.359722 79.3 69.6 0.8787 12.1% Pennsylvania Beaver NAA Pittsburgh‐Be

420050001 40.8141826 ‐79.56475 83 72.2 0.8708 12.9% Pennsylvania Armstrong NAA Pittsburgh‐Be420070002 40.5625202 ‐80.503949 83 72.2 0.8707 12.9% Pennsylvania Beaver NAA Pittsburgh‐Be420730015 40.9958484 ‐80.346442 72.3 62.7 0.8684 13.2% Pennsylvania Lawrence NAA Pittsburgh‐Be421255001 40.445278 ‐80.420833 78 67.5 0.8666 13.3% Pennsylvania Washington NAA Pittsburgh‐Be211950002 37.482778 ‐82.535278 66.7 57.8 0.8672 13.3% Kentucky Pike County Pike County, 

40134004 33.29898 ‐111.88431 75 67 0.8944 10.6% Arizona Maricopa NAA Phoenix‐Mes40213001 33.4214 ‐111.5436 72.7 65 0.8944 10.6% Arizona Pinal NAA Phoenix‐Mes

40134003 33.40316 ‐112.07533 72.7 65 0.8944 10.6% Arizona Maricopa NAA Phoenix‐Mes

40134005 33.4124 ‐111.93473 75.7 67.7 0.8944 10.6% Arizona Maricopa NAA Phoenix‐Mes

40131010 33.45223 ‐111.73331 75.3 67.3 0.8944 10.6% Arizona Maricopa NAA Phoenix‐Mes

40137003 33.289364 ‐112.15732 70 62.6 0.8944 10.6% Arizona Maricopa NAA Phoenix‐Mes40213009 33.219111 ‐111.56111 65.3 58.4 0.8944 10.6% Arizona Pinal NAA Phoenix‐Mes

40134010 33.63713 ‐112.34184 67 59.9 0.8941 10.6% Arizona Maricopa NAA Phoenix‐Mes

40213007 32.508306 ‐111.30806 71.3 63.6 0.8926 10.7% Arizona Pinal NAA Phoenix‐Mes

40134008 33.82169 ‐112.01739 79.3 70.6 0.8915 10.9% Arizona Maricopa NAA Phoenix‐Mes

40139508 33.9828 ‐111.7987 82 73.1 0.8915 10.9% Arizona Maricopa NAA Phoenix‐Mes

40131004 33.56033 ‐112.06626 82.7 73.6 0.8905 11.0% Arizona Maricopa NAA Phoenix‐Mes

40137021 33.507916 ‐111.75462 83 73.9 0.8905 11.0% Arizona Maricopa NAA Phoenix‐Mes40139997 33.503833 ‐112.09577 74.7 66.5 0.8905 11.0% Arizona Maricopa NAA Phoenix‐Mes

40133003 33.47968 ‐111.91721 76.7 68.3 0.8905 11.0% Arizona Maricopa NAA Phoenix‐Mes

40139704 33.61103 ‐111.72529 82 73 0.8905 11.0% Arizona Maricopa NAA Phoenix‐Mes40130019 33.48385 ‐112.14257 73.3 65.2 0.8905 11.0% Arizona Maricopa NAA Phoenix‐Mes

40132005 33.71231 ‐111.85272 77 68.5 0.8905 11.0% Arizona Maricopa NAA Phoenix‐Mes40137022 33.474533 ‐111.80505 ‐7 ‐9 0.8905 11.0% Arizona Maricopa NAA Phoenix‐Mes40132001 33.56936 ‐112.19153 76.7 68.3 0.8905 11.0% Arizona Maricopa NAA Phoenix‐Mes

40137020 33.4882418 ‐111.85565 76 67.6 0.8905 11.0% Arizona Maricopa NAA Phoenix‐Mes40137024 33.50805 ‐111.8378 ‐7 ‐9 0.8905 11.0% Arizona Maricopa NAA Phoenix‐Mes

40139706 33.71881 ‐111.67183 81.7 72.7 0.8905 11.0% Arizona Maricopa NAA Phoenix‐Mes

40133002 33.45793 ‐112.04601 75.7 67.4 0.8905 11.0% Arizona Maricopa NAA Phoenix‐Mes

40139702 33.54549 ‐111.60925 73 65 0.8905 11.0% Arizona Maricopa NAA Phoenix‐Mes40135100 33.629246 ‐111.67693 ‐7 ‐9 0.8905 11.0% Arizona Maricopa NAA Phoenix‐Mes

40134011 33.37005 ‐112.6207 65 57.8 0.8895 11.1% Arizona Maricopa NAA Phoenix‐Mes

40213003 32.954361 ‐111.76225 71 62.9 0.8871 11.3% Arizona Pinal NAA Phoenix‐Mes40213010 33.0585 ‐112.04722 64 56.7 0.8871 11.3% Arizona Pinal NAA Phoenix‐Mes40217001 33.0799291 ‐111.74011 71.3 63.2 0.887 11.3% Arizona Pinal NAA Phoenix‐Mes40218001 33.293465 ‐111.28559 79.3 69.9 0.8822 11.8% Arizona Pinal NAA Phoenix‐Mes

421010004 40.008889 ‐75.097778 64.3 57.3 0.8921 10.8% Pennsylvania Philadelphia NAA Philadelphia‐

420170012 40.107222 ‐74.882222 88 78 0.887 11.3% Pennsylvania Bucks NAA Philadelphia‐

421010024 40.076389 ‐75.011944 90.3 79.6 0.8824 11.8% Pennsylvania Philadelphia NAA Philadelphia‐340210005 40.2830917 ‐74.742644 88 77.5 0.8812 11.9% New Jersey Mercer NAA Philadelphia‐

420910013 40.112222 ‐75.309167 85.7 75.2 0.8779 12.2% Pennsylvania Montgomery NAA Philadelphia‐340010006 39.464872 ‐74.448736 ‐7 ‐9 0.8734 12.7% New Jersey Atlantic NAA Philadelphia‐

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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

100051003 38.779167 ‐75.163056 82.7 72.1 0.8729 12.7% Delaware Sussex NAA Seaford, DE 

340071001 39.68425 ‐74.861491 89.3 77.6 0.8692 13.1% New Jersey Camden NAA Philadelphia‐

100031010 39.817222 ‐75.563889 82.3 71.5 0.869 13.1% Delaware New Castle NAA Philadelphia‐340290006 40.064847 ‐74.444058 93 80.7 0.8683 13.2% New Jersey Ocean NAA Philadelphia‐420450002 39.835556 ‐75.3725 83.3 72.3 0.868 13.2% Pennsylvania Delaware NAA Philadelphia‐340150002 39.800339 ‐75.212119 87 75.2 0.8648 13.5% New Jersey Gloucester NAA Philadelphia‐100031013 39.773889 ‐75.496389 81.3 69.7 0.8585 14.2% Delaware New Castle NAA Philadelphia‐100010002 38.984722 ‐75.555556 80.3 68.9 0.8583 14.2% Delaware Kent NAA Philadelphia‐340110007 39.422273 ‐75.025204 83.3 71 0.8525 14.8% New Jersey Cumberland NAA Philadelphia‐420290100 39.8344606 ‐75.768242 86 73.2 0.8521 14.8% Pennsylvania Chester NAA Philadelphia‐100031007 39.551111 ‐75.730833 80 68 0.85 15.0% Delaware New Castle NAA Philadelphia‐240150003 39.701111 ‐75.86 90.7 76.9 0.848 15.2% Maryland Cecil NAA Philadelphia‐100051002 38.644444 ‐75.613056 81.3 68.9 0.8477 15.2% Delaware Sussex NAA Seaford, DE 

291570001 37.6992 ‐89.6909 77.5 68.2 0.8804 12.0% Missouri Perry County Perry County

211930003 37.283056 ‐83.220278 72.3 61.4 0.8497 15.0% Kentucky Perry County Perry County

181230009 38.1131592 ‐86.603594 81 72.6 0.8969 10.3% Indiana Perry County Perry County171431001 40.7455039 ‐89.585869 72.7 63.8 0.8788 12.1% Illinois Peoria CSA Peoria‐Canto

171430024 40.6874204 ‐89.606943 68.3 60 0.8788 12.1% Illinois Peoria CSA Peoria‐Canto

120330004 30.525 ‐87.204167 79.7 69.6 0.8738 12.6% Florida Escambia CBSA Pensacola‐Fe

121130015 30.3941 ‐87.0081 80 68.9 0.8617 13.8% Florida Santa Rosa CBSA Pensacola‐Fe120330018 30.368 ‐87.271 82.7 70.3 0.851 14.9% Florida Escambia CBSA Pensacola‐Fe410591003 45.828889 ‐119.26331 ‐7 ‐9 ‐9 Oregon Umatilla CBSA Pendleton‐He

40070010 33.6547 ‐111.1074 80.3 70.8 0.8818 11.8% Arizona Gila CBSA Payson, AZ 

541071002 39.323533 ‐81.552367 79 67.2 0.851 14.9% West Virginia Wood NAA Parkersburg‐

391670004 39.431667 ‐81.460278 82.7 69.3 0.8384 16.2% Ohio Washington NAA Parkersburg‐120050006 30.131 ‐85.732 78.7 66.7 0.8479 15.2% Florida Bay CBSA Panama City‐

191471002 43.1237042 ‐94.693518 61 54.3 0.8909 10.9% Iowa Palo Alto County Palo Alto Cou

120090007 28.053889 ‐80.628611 69 60.3 0.8748 12.5% Florida Brevard CBSA Palm Bay‐Me

120094001 28.310556 ‐80.615556 71.3 62.1 0.8711 12.9% Florida Brevard CBSA Palm Bay‐Me211451024 37.058056 ‐88.5725 73.3 65.3 0.8922 10.8% Kentucky McCracken CSA Paducah‐May

211390003 37.155556 ‐88.393056 73.7 64.3 0.8734 12.7% Kentucky Livingston CSA Paducah‐May

230173001 44.2508821 ‐70.860043 61 53.6 0.88 12.0% Maine Oxford County Oxford Count210910012 37.938889 ‐86.896944 74 66.5 0.8999 10.0% Kentucky Hancock CBSA Owensboro, K210590005 37.780833 ‐87.075556 75.7 67.8 0.8963 10.4% Kentucky Daviess CBSA Owensboro, K

120952002 28.599444 ‐81.363056 79.3 70.4 0.8884 11.2% Florida Orange CSA Orlando‐Delt

120950008 28.454167 ‐81.381389 79.3 70.4 0.888 11.2% Florida Orange CSA Orlando‐Delt

121171002 28.745556 ‐81.31 76 66.8 0.8794 12.1% Florida Seminole CSA Orlando‐Delt120690002 28.525 ‐81.723333 76.7 66.7 0.8706 12.9% Florida Lake CSA Orlando‐Delt

120972002 28.347222 ‐81.636667 72 62.4 0.8667 13.3% Florida Osceola CSA Orlando‐Delt121272001 29.108889 ‐80.993889 68.3 57.3 0.8402 16.0% Florida Volusia CSA Orlando‐Delt

121275002 29.206667 ‐81.053056 68.3 57.1 0.8365 16.4% Florida Volusia CSA Orlando‐Delt

310550032 41.360278 ‐96.024722 64.7 57.8 0.8946 10.5% Nebraska Douglas CSA Omaha‐Coun

310550035 41.306111 ‐95.960278 66.3 58.9 0.8889 11.1% Nebraska Douglas CSA Omaha‐Coun

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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

310550028 41.2075 ‐95.9475 68.7 60.9 0.8875 11.3% Nebraska Douglas CSA Omaha‐Coun

190851101 41.7802614 ‐95.948436 74.7 64.8 0.8687 13.1% Iowa Harrison CSA Omaha‐Coun380650002 47.185833 ‐101.42806 57.7 ‐9 ‐9 North Dakota Oliver County Oliver County

401090033 35.477036 ‐97.494309 77 67.6 0.8791 12.1% Oklahoma Oklahoma CSA Oklahoma Cit

401090096 35.477801 ‐97.303044 76.3 66.8 0.8768 12.3% Oklahoma Oklahoma CSA Oklahoma Cit400170101 35.479215 ‐97.751503 76 66.5 0.8758 12.4% Oklahoma Canadian CSA Oklahoma Cit400871073 35.159649 ‐97.473794 72 62.6 0.8701 13.0% Oklahoma McClain CSA Oklahoma Cit400270049 35.320105 ‐97.484099 74.7 64.9 0.87 13.0% Oklahoma Cleveland CSA Oklahoma Cit401091037 35.614131 ‐97.475083 80 69.2 0.8652 13.5% Oklahoma Oklahoma CSA Oklahoma Cit120830003 29.170278 ‐82.100833 71.7 59.6 0.8315 16.9% Florida Marion CBSA Ocala, FL 

120830004 29.1925 ‐82.173333 73 60.1 0.824 17.6% Florida Marion CBSA Ocala, FL 

518000004 36.90118 ‐76.43808 76.7 70.5 0.9197 8.0% Virginia Suffolk City NAA Norfolk‐Virgin

518000005 36.66525 ‐76.73078 75.3 65 0.8636 13.6% Virginia Suffolk City NAA Norfolk‐Virgin

361111005 42.14403 ‐74.49431 77.3 67 0.868 13.2% New York Ulster CSA New York‐Ne

360050133 40.8679 ‐73.87809 74.7 69 0.9245 7.6% New York Bronx NAA New York‐N. 360850067 40.59664 ‐74.12525 88.3 81.2 0.9203 8.0% New York Richmond NAA New York‐N. 340170006 40.67025 ‐74.126081 85.7 78.8 0.9196 8.0% New Jersey Hudson NAA New York‐N. 361030002 40.74529 ‐73.41919 90 81.6 0.9074 9.3% New York Suffolk NAA New York‐N. 

361192004 41.05192 ‐73.76366 87.7 79.5 0.9071 9.3% New York Westchester NAA New York‐N. 

360610135 40.81976 ‐73.94825 ‐7 ‐9 0.9054 9.5% New York New York NAA New York‐N. 

90019003 41.118333 ‐73.336667 87.7 79.3 0.9048 9.5% Connecticut Fairfield NAA New York‐N. 

361030009 40.82799 ‐73.05754 90.3 81.6 0.9045 9.6% New York Suffolk NAA New York‐N. 

90013007 41.1525 ‐73.103056 90 81.3 0.9038 9.6% Connecticut Fairfield NAA New York‐N. 

360810124 40.73614 ‐73.82153 80 72.2 0.903 9.7% New York Queens NAA New York‐N. 

90010017 41.003611 ‐73.585 88 79.4 0.9025 9.8% Connecticut Fairfield NAA New York‐N. 90090027 41.301111 ‐72.902778 79.3 71.4 0.9009 9.9% Connecticut New Haven NAA New York‐N. 

361030004 40.96078 ‐72.71238 84.7 76.2 0.9007 9.9% New York Suffolk NAA New York‐N. 

90093002 41.260833 ‐72.55 90.3 80.9 0.8964 10.4% Connecticut New Haven NAA New York‐N. 

340250005 40.278461 ‐74.005343 87.3 78 0.8936 10.6% New Jersey Monmouth NAA New York‐N. 

90011123 41.399167 ‐73.443056 92.3 81.8 0.8865 11.4% Connecticut Fairfield NAA New York‐N. 

340315001 41.052195 ‐74.256338 81 71.4 0.8822 11.8% New Jersey Passaic NAA New York‐N. 

90070007 41.552222 ‐72.63 90.3 78.8 0.8729 12.7% Connecticut Middlesex NAA New York‐N. 

340273001 40.787628 ‐74.676301 83.3 72.5 0.8709 12.9% New Jersey Morris NAA New York‐N. 340230011 40.462182 ‐74.429439 88.3 76.8 0.8707 12.9% New Jersey Middlesex NAA New York‐N. 340190001 40.515253 ‐74.806753 89 77.2 0.8679 13.2% New Jersey Hunterdon NAA New York‐N. 220950002 30.058333 ‐90.608333 79 71.7 0.9077 9.2% Louisiana St. John the BaCSA New Orleans‐220511001 30.043333 ‐90.275 83 74.9 0.9032 9.7% Louisiana Jefferson CSA New Orleans‐220890003 29.984167 ‐90.410556 77.3 69.8 0.9032 9.7% Louisiana St. Charles CSA New Orleans‐220710012 29.994444 ‐90.102778 ‐7 ‐9 0.9019 9.8% Louisiana Orleans CSA New Orleans‐220870009 29.936909 ‐89.955703 ‐7 ‐9 0.8942 10.6% Louisiana St. Bernard CSA New Orleans‐

60570005 39.234444 ‐121.05556 96.3 86.1 0.8946 10.5% California Nevada NAA Nevada Co (W60570007 39.316667 ‐120.84444 85 76 0.8946 10.5% California Nevada NAA Nevada Co (W

280010004 31.5607517 ‐91.390405 74.7 65.3 0.8748 12.5% Mississippi Adams CBSA Natchez, MS‐

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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

470370011 36.205 ‐86.744722 68.7 57.6 0.8397 16.0% Tennessee Davidson CSA Nashville‐Dav

471650101 36.4539752 ‐86.564149 79 66.2 0.8384 16.2% Tennessee Sumner CSA Nashville‐Dav471650007 36.297778 ‐86.652778 83 69.3 0.8359 16.4% Tennessee Sumner CSA Nashville‐Dav471890103 36.0603715 ‐86.286085 78.7 65.4 0.8321 16.8% Tennessee Wilson CSA Nashville‐Dav471870106 35.951944 ‐87.137222 75.3 62.4 0.8293 17.1% Tennessee Williamson CSA Nashville‐Dav470370026 36.150742 ‐86.623301 77.7 64.4 0.8291 17.1% Tennessee Davidson CSA Nashville‐Dav471490101 35.732878 ‐86.598872 76.3 63.2 0.8285 17.2% Tennessee Rutherford CSA Nashville‐Dav261210039 43.2780606 ‐86.311083 85 75 0.8829 11.7% Michigan Muskegon NAA Muskegon, M

132130003 34.7851967 ‐84.626422 78 65.4 0.8393 16.1% Georgia Murray NAA Murray Co (C

180350010 40.3000147 ‐85.245367 76.3 65.9 0.8645 13.6% Indiana Delaware NAA Muncie, IN 

170650002 38.0821552 ‐88.624943 73 64.7 0.8866 11.3% Illinois Hamilton CBSA Mount Verno

540610003 39.649367 ‐79.920867 75.3 69.3 0.9214 7.9% West Virginia Monongalia CBSA Morgantown

10510001 32.4985667 ‐86.136587 70.7 59.9 0.8478 15.2% Alabama Elmore CSA Montgomery11011002 32.4071199 ‐86.256367 69.3 58 0.8381 16.2% Alabama Montgomery CSA Montgomery

191370002 40.9691123 ‐95.044951 65.7 57.2 0.8711 12.9% Iowa Montgomery County Montgomery 

80830101 37.198333 ‐108.49028 72 67.5 0.9379 6.2% Colorado Montezuma County Montezuma C

220730004 32.509713 ‐92.046093 75.3 65 0.8639 13.6% Louisiana Ouachita CSA Monroe‐Bast

291370001 39.4751752 ‐91.78917 71.7 62.6 0.8732 12.7% Missouri Monroe County Monroe Coun

10970003 30.7699409 ‐88.087526 76.7 67.1 0.8756 12.4% Alabama Mobile CSA Mobile‐Daph

10972005 30.4746736 ‐88.14114 76.7 67 0.874 12.6% Alabama Mobile CSA Mobile‐Daph

10030010 30.498001 ‐87.881412 77.3 67.4 0.8722 12.8% Alabama Baldwin CSA Mobile‐Daph

270031002 45.13768 ‐93.20772 67.7 64.2 0.9485 5.2% Minnesota Anoka CSA Minneapolis‐

551091002 45.124444 ‐92.6625 69 59.6 0.8649 13.5% Wisconsin St. Croix CSA Minneapolis‐551010017 42.713889 ‐87.798611 80.3 74.5 0.9282 7.2% Wisconsin Racine NAA Milwaukee‐R

550790010 43.016667 ‐87.933333 69 64 0.9278 7.2% Wisconsin Milwaukee NAA Milwaukee‐R

550790026 43.061111 ‐87.9125 76 70.4 0.9275 7.3% Wisconsin Milwaukee NAA Milwaukee‐R550790085 43.181111 ‐87.900556 82.7 76.4 0.9244 7.6% Wisconsin Milwaukee NAA Milwaukee‐R

550890008 43.343056 ‐87.920833 81.3 74.9 0.9213 7.9% Wisconsin Ozaukee NAA Milwaukee‐R

550890009 43.498056 ‐87.81 83.3 76.4 0.9182 8.2% Wisconsin Ozaukee NAA Milwaukee‐R

551330027 43.020278 ‐88.215 71.5 64 0.896 10.4% Wisconsin Waukesha NAA Milwaukee‐R

551310009 43.327222 ‐88.220278 72.3 64 0.8864 11.4% Wisconsin Washington NAA Milwaukee‐R

210130002 36.608056 ‐83.736944 71.7 59.8 0.8354 16.5% Kentucky Bell CBSA Middlesborou

120860029 25.586 ‐80.327 67.7 64.5 0.9532 4.7% Florida Miami‐Dade CBSA Miami‐Fort La120860027 25.733 ‐80.162 71.3 67.6 0.9484 5.2% Florida Miami‐Dade CBSA Miami‐Fort La120118002 26.087 ‐80.111 65 59.9 0.9218 7.8% Florida Broward CBSA Miami‐Fort La120112003 26.29 ‐80.097 61.3 56 0.9139 8.6% Florida Broward CBSA Miami‐Fort La120990020 26.59123 ‐80.060867 65 59.1 0.9103 9.0% Florida Palm Beach CBSA Miami‐Fort La120990009 26.731 ‐80.234 ‐7 ‐9 0.9056 9.4% Florida Palm Beach CBSA Miami‐Fort La401159004 36.922222 ‐94.838889 78 66.2 0.8497 15.0% Oklahoma Ottawa CBSA Miami, OK 280750003 32.3645653 ‐88.731491 74.3 64.4 0.8678 13.2% Mississippi Lauderdale CBSA Meridian, MS 

380570004 47.298611 ‐101.76694 59.3 ‐9 ‐9 North Dakota Mercer County Mercer Coun

280330002 34.82166 ‐89.98783 82.7 70.7 0.8557 14.4% Mississippi DeSoto NAA Memphis, TN

471570021 35.2175 ‐90.019444 80 68.3 0.8541 14.6% Tennessee Shelby NAA Memphis, TN

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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

50350005 35.1972876 ‐90.193141 87.3 74.4 0.8523 14.8% Arkansas Crittenden NAA Memphis, TN

471571004 35.377222 ‐89.832222 80.7 68.6 0.8503 15.0% Tennessee Shelby NAA Memphis, TN

471210104 35.2889973 ‐84.946044 80 67.3 0.8416 15.8% Tennessee Meigs County Meigs County410290201 42.229444 ‐122.7875 68 ‐9 ‐9 Oregon Jackson CBSA Medford, OR 380530002 47.5812 ‐103.2995 61.3 ‐9 ‐9 North Dakota McKenzie County McKenzie Co

482150043 26.226239 ‐98.291064 65.7 ‐9 ‐9 Texas Hidalgo CBSA McAllen‐Edin

401210415 34.906083 ‐95.794128 72 63.6 0.8847 11.5% Oklahoma Pittsburg CBSA McAlester, O400979014 36.228408 ‐95.249943 78.5 67.8 0.8637 13.6% Oklahoma Mayes County Mayes Count

261050007 43.9533344 ‐86.294415 79.7 69.8 0.8761 12.4% Michigan Mason NAA Mason Co, M

371170001 35.81069 ‐76.89782 75 65.4 0.872 12.8% North Carolina Martin County Martin Count

60430003 37.713333 ‐119.70389 86.3 77.8 0.9024 9.8% California Mariposa NAA Mariposa & T

61090005 37.981667 ‐120.37861 80 72 0.901 9.9% California Tuolumne NAA Mariposa & T60430006 37.55 ‐119.84361 83.7 75 0.8972 10.3% California Mariposa NAA Mariposa & T

550710007 44.138611 ‐87.616111 85 76.2 0.8968 10.3% Wisconsin Manitowoc NAA Manitowoc C261010922 44.3070001 ‐86.242649 ‐7 ‐9 0.8829 11.7% Michigan Manistee County Manistee Cou

551110007 43.435556 ‐89.680278 69.7 61.3 0.8797 12.0% Wisconsin Sauk CSA Madison‐Bara

550250041 43.100833 ‐89.357222 72 63.2 0.8778 12.2% Wisconsin Dane CSA Madison‐Bara550210015 43.314444 ‐89.108889 72.7 63.4 0.8721 12.8% Wisconsin Columbia CSA Madison‐Bara

511390004 38.66373 ‐78.50442 74 64.6 0.8742 12.6% Virginia Page NAA Madison and 

511130003 38.521944 ‐78.436111 77.7 67.9 0.8741 12.6% Virginia Madison NAA Madison & Pa130210012 32.8054079 ‐83.543521 81 66.4 0.82 18.0% Georgia Bibb NAA Macon, GA 

211110051 38.06091 ‐85.89804 78.3 69.9 0.8934 10.7% Kentucky Jefferson NAA Louisville, KY‐

180431004 38.308056 ‐85.834167 77.7 68.9 0.8869 11.3% Indiana Floyd NAA Louisville, KY‐

210290006 37.985556 ‐85.713056 74 65.4 0.8849 11.5% Kentucky Bullitt NAA Louisville, KY‐211110027 38.13784 ‐85.57648 75.3 66.4 0.8824 11.8% Kentucky Jefferson NAA Louisville, KY‐

210930006 37.706389 ‐85.851667 74.7 65.7 0.8805 12.0% Kentucky Hardin NAA Louisville, KY‐

180190008 38.393833 ‐85.664167 80.3 69.6 0.8675 13.3% Indiana Clark NAA Louisville, KY‐

211850004 38.398611 ‐85.443333 83 71.4 0.8606 13.9% Kentucky Oldham NAA Louisville, KY‐

60710012 34.426111 ‐117.56306 98 91.9 0.9384 6.2% California San BernardinoNAA Los Angeles‐S

60711234 35.763889 ‐117.39611 80.7 72.8 0.9023 9.8% California San BernardinoNAA Los Angeles‐S60379033 34.671389 ‐118.13056 96.3 90.5 0.9404 6.0% California Los Angeles NAA Los Angeles‐S60714001 34.418056 ‐117.28472 100.7 94.4 0.9384 6.2% California San BernardinoNAA Los Angeles‐S60710306 34.51 ‐117.33056 91.7 86 0.9384 6.2% California San BernardinoNAA Los Angeles‐S60710001 34.895 ‐117.02361 84.7 77.5 0.9155 8.5% California San BernardinoNAA Los Angeles‐S60719002 34.071389 ‐116.39056 103.7 94.7 0.9134 8.7% California San BernardinoNAA Los Angeles‐S60591003 33.67464 ‐117.92568 68 65.8 0.9679 3.2% California Orange NAA Los Angeles S60375005 33.9508 ‐118.43043 66 63.5 0.9624 3.8% California Los Angeles NAA Los Angeles S60592022 33.63003 ‐117.67593 84.3 79.9 0.9485 5.2% California Orange NAA Los Angeles S60595001 33.92513 ‐117.95264 76 71.8 0.9458 5.4% California Orange NAA Los Angeles S60371602 34.01194 ‐118.06995 ‐7 ‐9 0.9458 5.4% California Los Angeles NAA Los Angeles S60590007 33.83062 ‐117.93845 77.3 73.1 0.9458 5.4% California Orange NAA Los Angeles S60374002 33.82376 ‐118.18921 60.7 57.4 0.9458 5.4% California Los Angeles NAA Los Angeles S60372005 34.1326 ‐118.1272 91.3 86.2 0.9445 5.6% California Los Angeles NAA Los Angeles S

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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

60371002 34.17605 ‐118.31712 89 84 0.9445 5.6% California Los Angeles NAA Los Angeles S

60371103 34.06659 ‐118.22688 74 69.8 0.9445 5.6% California Los Angeles NAA Los Angeles S60711004 34.10374 ‐117.62914 106.3 100.2 0.9429 5.7% California San BernardinoNAA Los Angeles S

60371701 34.06703 ‐117.7514 100.3 94.5 0.9429 5.7% California Los Angeles NAA Los Angeles S

60370016 34.14435 ‐117.85036 102 96.1 0.9428 5.7% California Los Angeles NAA Los Angeles S

60370002 34.1365 ‐117.92391 91.7 86.4 0.9428 5.7% California Los Angeles NAA Los Angeles S

60376012 34.38344 ‐118.5284 114 107.4 0.9426 5.7% California Los Angeles NAA Los Angeles S60371201 34.19925 ‐118.53276 101.7 95.8 0.9426 5.7% California Los Angeles NAA Los Angeles S60370113 34.05111 ‐118.45636 73.7 69.4 0.9426 5.7% California Los Angeles NAA Los Angeles S60656001 33.78942 ‐117.22764 89.3 84.1 0.9424 5.8% California Riverside NAA Los Angeles S

60659001 33.67649 ‐117.33098 101 95.1 0.9424 5.8% California Riverside NAA Los Angeles S

60710005 34.2431 ‐117.27235 123.3 115.7 0.9384 6.2% California San BernardinoNAA Los Angeles S

60714003 34.05977 ‐117.14731 119.3 111.5 0.935 6.5% California San BernardinoNAA Los Angeles S60719004 34.10688 ‐117.27411 115.7 108.1 0.935 6.5% California San BernardinoNAA Los Angeles S60712002 34.10002 ‐117.49201 114.3 106.8 0.935 6.5% California San BernardinoNAA Los Angeles S

60658001 33.99958 ‐117.41601 108.7 101.6 0.935 6.5% California Riverside NAA Los Angeles S60650012 33.92086 ‐116.85841 112.3 104.8 0.9334 6.7% California Riverside NAA Los Angeles S

60651016 33.945 ‐116.83 ‐7 ‐9 0.9334 6.7% California Riverside NAA Los Angeles S

481830001 32.37871 ‐94.711834 84.3 75.8 0.8999 10.0% Texas Gregg CSA Longview‐Ma

482030002 32.669004 ‐94.167449 79 69.2 0.8767 12.3% Texas Harrison CSA Longview‐Ma

490050004 41.731111 ‐111.8375 68.7 62.5 0.9104 9.0% Utah Cache CBSA Logan, UT‐ID 

51191002 34.8357211 ‐92.260581 79.7 67.1 0.8422 15.8% Arkansas Pulaski CSA Little Rock‐No

51191008 34.6813434 ‐92.328697 ‐7 ‐9 0.8389 16.1% Arkansas Pulaski CSA Little Rock‐No51190007 34.7561888 ‐92.281296 78.3 65.5 0.8367 16.3% Arkansas Pulaski CSA Little Rock‐No

311090016 40.984722 ‐96.677222 56 49.3 0.8806 11.9% Nebraska Lancaster CBSA Lincoln, NE 390030009 40.771172 ‐84.052797 78.7 68.2 0.8675 13.3% Ohio Allen NAA Lima, OH 

211130001 37.893333 ‐84.589167 73.3 64.4 0.8794 12.1% Kentucky Jessamine CSA Lexington‐Fay

210670012 38.065 ‐84.5 70.3 61.3 0.8721 12.8% Kentucky Fayette CSA Lexington‐Fay320030075 36.272382 ‐115.23824 83.7 74.1 0.8859 11.4% Nevada Clark NAA Las Vegas, NV 

320030071 36.170278 ‐115.26139 83.7 74.1 0.8859 11.4% Nevada Clark NAA Las Vegas, NV 

320030043 36.108056 ‐115.25361 80.3 71.1 0.8859 11.4% Nevada Clark NAA Las Vegas, NV 

320030073 36.173056 ‐115.33167 82.7 73.2 0.8859 11.4% Nevada Clark NAA Las Vegas, NV 

320030538 36.143056 ‐115.05167 77.7 68.8 0.8859 11.4% Nevada Clark NAA Las Vegas, NV 

320032002 36.191111 ‐115.12222 79.7 70.6 0.8859 11.4% Nevada Clark NAA Las Vegas, NV 

320031019 35.785634 ‐115.35706 80.7 71.4 0.8853 11.5% Nevada Clark NAA Las Vegas, NV 

350130021 31.796111 ‐106.58389 75.3 70.7 0.9393 6.1% New Mexico Dona Ana CBSA Las Cruces, N

350130017 31.795833 ‐106.5575 71.3 66.9 0.9393 6.1% New Mexico Dona Ana CBSA Las Cruces, N

350130022 31.787778 ‐106.68278 72.7 68.2 0.9389 6.1% New Mexico Dona Ana CBSA Las Cruces, N

350130008 31.930556 ‐106.63056 70.7 66.2 0.937 6.3% New Mexico Dona Ana CBSA Las Cruces, N350130020 32.041111 ‐106.40917 70.7 65.8 0.9308 6.9% New Mexico Dona Ana CBSA Las Cruces, N

350130023 32.3175 ‐106.76778 66 60.8 0.9214 7.9% New Mexico Dona Ana CBSA Las Cruces, N484790016 27.510833 ‐99.519722 61.3 55.8 0.9118 8.8% Texas Webb CBSA Laredo, TX 

260650012 42.7386179 ‐84.534633 76 65.5 0.8623 13.8% Michigan Ingham NAA Lansing‐East 

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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

260370001 42.7983394 ‐84.393795 75.7 64.9 0.8577 14.2% Michigan Clinton NAA Lansing‐East 420710007 40.046667 ‐76.283333 83.3 72.7 0.8737 12.6% Pennsylvania Lancaster NAA Lancaster, PA 

121056005 27.939444 ‐82.000278 73.3 62.9 0.859 14.1% Florida Polk CBSA Lakeland, FL 

121056006 28.029167 ‐81.972222 74.7 63.6 0.8525 14.8% Florida Polk CBSA Lakeland, FL 120230002 30.178056 ‐82.619444 72 60.8 0.8446 15.5% Florida Columbia CBSA Lake City, FL 220190002 30.143333 ‐93.371944 82 75.3 0.9188 8.1% Louisiana Calcasieu CSA Lake Charles‐

220190008 30.261667 ‐93.284167 70 64.1 0.9158 8.4% Louisiana Calcasieu CSA Lake Charles‐

220190009 30.227778 ‐93.578333 78.7 70.9 0.9018 9.8% Louisiana Calcasieu CSA Lake Charles‐

180150002 40.54048 ‐86.552914 74 64.7 0.8744 12.6% Indiana Carroll CSA Lafayette‐Fra220550007 30.2175 ‐92.051389 ‐7 ‐9 0.8873 11.3% Louisiana Lafayette CSA Lafayette‐Aca

180910005 41.7170219 ‐86.907743 77 69.9 0.9081 9.2% Indiana LaPorte NAA La Porte, IN 180910010 41.6290979 ‐86.684615 78.5 69.9 0.8908 10.9% Indiana LaPorte NAA La Porte, IN 

40128000 34.2319 ‐113.58 ‐7 ‐9 0.9114 8.9% Arizona La Paz County La Paz County

470931020 36.019186 ‐83.87381 85 71.5 0.8412 15.9% Tennessee Knox NAA Knoxville, TN 470930021 36.085508 ‐83.764806 78.7 66.1 0.8404 16.0% Tennessee Knox NAA Knoxville, TN 

470090102 35.603056 ‐83.783611 68.5 57.5 0.84 16.0% Tennessee Blount NAA Knoxville, TN 

471550102 35.562778 ‐83.498056 80.7 67.6 0.8388 16.1% Tennessee Sevier NAA Knoxville, TN 

470090101 35.6314897 ‐83.943513 85.3 71.3 0.8363 16.4% Tennessee Blount NAA Knoxville, TN 

471550101 35.696667 ‐83.609722 79 65.6 0.8316 16.8% Tennessee Sevier NAA Knoxville, TN 470890002 36.114535 ‐83.601001 82.3 68.3 0.8311 16.9% Tennessee Jefferson NAA Knoxville, TN 

470010101 35.963273 ‐84.223234 77.3 63.4 0.8211 17.9% Tennessee Anderson NAA Knoxville, TN 

471050109 35.7209322 ‐84.341581 85 68.9 0.811 18.9% Tennessee Loudon NAA Knoxville, TN 371070004 35.231459 ‐77.568792 75.3 63.5 0.8438 15.6% North Carolina Lenoir CBSA Kinston, NC 

550610002 44.442778 ‐87.506111 82.7 73.4 0.8887 11.1% Wisconsin Kewaunee NAA Kewaunee Co

550090026 44.53 ‐87.908889 73.7 65.2 0.8855 11.5% Wisconsin Brown NAA Kewaunee Co

60290011 35.050556 ‐118.14639 87 78.2 0.8991 10.1% California Kern NAA Kern Co (East

240290002 39.3052 ‐75.7972 82 69.7 0.8502 15.0% Maryland Kent NAA Kent and Que330050007 42.930472 ‐72.272389 70.7 61.4 0.8693 13.1% New Hampshire Cheshire CBSA Keene, NH 

202090021 39.1175 ‐94.635556 75.3 66.7 0.8862 11.4% Kansas Wyandotte CSA Kansas City‐O

200910010 38.83859 ‐94.74643 75.3 65.6 0.8716 12.8% Kansas Johnson CSA Kansas City‐O290470005 39.3030901 ‐94.376623 84.7 73.7 0.8713 12.9% Missouri Clay CSA Kansas City‐O201030003 39.32746 ‐94.95127 75 65.1 0.8693 13.1% Kansas Leavenworth CSA Kansas City‐O290490001 39.5306 ‐94.556 83 71.8 0.8654 13.5% Missouri Clinton CSA Kansas City‐O290470006 39.3322333 ‐94.580841 83 71.7 0.8644 13.6% Missouri Clay CSA Kansas City‐O290470003 39.407452 ‐94.265373 79 67.9 0.8606 13.9% Missouri Clay CSA Kansas City‐O290370003 38.770278 ‐94.58 74.7 64 0.8575 14.3% Missouri Cass CSA Kansas City‐O201070002 38.135833 ‐94.731944 73.3 62.4 0.8514 14.9% Kansas Linn CSA Kansas City‐O300298001 48.510278 ‐113.99556 56.3 ‐9 ‐9 Montana Flathead CBSA Kalispell, MT 260770008 42.2780667 ‐85.54189 75.3 65.9 0.8758 12.4% Michigan Kalamazoo NAA Kalamazoo‐B420210011 40.309722 ‐78.915 74.7 66.2 0.8875 11.3% Pennsylvania Cambria NAA Johnstown, P

471632003 36.582222 ‐82.485833 80 71.4 0.8931 10.7% Tennessee Sullivan CSA Johnson City‐

471632002 36.5411927 ‐82.425964 80.3 71.4 0.8902 11.0% Tennessee Sullivan CSA Johnson City‐360450002 44.08747 ‐75.97316 78 69.7 0.8941 10.6% New York Jefferson NAA Jefferson Co, 

Page 14 of 24
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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

551050024 42.50889 ‐89.05667 74 64.6 0.8742 12.6% Wisconsin Rock CBSA Janesville, W

360130011 42.29071 ‐79.58961 77.3 69.1 0.8948 10.5% New York Chautauqua NAA Jamestown, N

360130006 42.49963 ‐79.31881 86.7 77.1 0.8904 11.0% New York Chautauqua NAA Jamestown, N

280490010 32.385731 ‐90.1412 71.3 59.9 0.8404 16.0% Mississippi Hinds CSA Jackson‐Yazo

120030002 30.1975 ‐82.445 68.7 57.9 0.8428 15.7% Florida Baker CBSA Jacksonville, 

120310100 30.261 ‐81.454 77.7 65.3 0.8407 15.9% Florida Duval CBSA Jacksonville, 120310077 30.4775 ‐81.5875 77 64.3 0.8357 16.4% Florida Duval CBSA Jacksonville, 560391011 44.565278 ‐110.4 62.7 ‐9 ‐9 Wyoming Teton CBSA Jackson, WY‐

180710001 38.9208444 ‐86.080489 74.7 64.7 0.8666 13.3% Indiana Jackson NAA Jackson Co, IN 

550370001 45.795556 ‐88.400556 66.3 58.8 0.888 11.2% Wisconsin Florence CBSA Iron Mountai

180970057 39.749019 ‐86.186314 75 67.4 0.8989 10.1% Indiana Marion NAA Indianapolis, 181450001 39.6134232 ‐85.870648 77.3 69.1 0.8947 10.5% Indiana Shelby NAA Indianapolis, 

180970050 39.858922 ‐86.021317 78.7 70.3 0.8936 10.6% Indiana Marion NAA Indianapolis, 

180970073 39.7894856 ‐86.06085 75.7 67.5 0.8925 10.8% Indiana Marion NAA Indianapolis, 

180810002 39.4172428 ‐86.152363 76.7 67.8 0.8843 11.6% Indiana Johnson NAA Indianapolis, 

181090005 39.5756338 ‐86.477893 77 67.8 0.8813 11.9% Indiana Morgan NAA Indianapolis, 180630004 39.7590026 ‐86.397124 75.3 66.3 0.8811 11.9% Indiana Hendricks NAA Indianapolis, 

180110001 39.997484 ‐86.395172 79.7 70.1 0.8801 12.0% Indiana Boone NAA Indianapolis, 

180590003 39.9350413 ‐85.840471 78 68.5 0.8786 12.1% Indiana Hancock NAA Indianapolis, 180950010 40.0025466 ‐85.656937 76.7 66.8 0.8712 12.9% Indiana Madison NAA Indianapolis, 

60250005 32.676111 ‐115.48333 74.7 67.7 0.9071 9.3% California Imperial NAA Imperial Co, C

60251003 32.791667 ‐115.56167 85 77.1 0.9071 9.3% California Imperial NAA Imperial Co, C60254003 33.0325 ‐115.6225 83.7 75.8 0.9057 9.4% California Imperial NAA Imperial Co, C

60254004 33.213611 ‐115.54444 73 66.1 0.9057 9.4% California Imperial NAA Imperial Co, C

260630007 43.8363879 ‐82.6429 75.7 67.1 0.8868 11.3% Michigan Huron NAA Huron Co, MI 

11030011 34.5187353 ‐86.976939 77.3 67.2 0.8703 13.0% Alabama Morgan CSA Huntsville‐De

10890014 34.68767 ‐86.58637 77.3 65.4 0.8468 15.3% Alabama Madison CSA Huntsville‐De

210190017 38.459167 ‐82.640556 77.3 68 0.8798 12.0% Kentucky Boyd NAA Huntington‐A

540110006 38.424133 ‐82.4259 78.7 69.1 0.8791 12.1% West Virginia Cabell NAA Huntington‐A210890007 38.548333 ‐82.731667 76.7 67.2 0.877 12.3% Kentucky Greenup NAA Huntington‐A390870011 38.629167 ‐82.4575 63.3 53.5 0.846 15.4% Ohio Lawrence NAA Huntington‐A482010024 29.901111 ‐95.326111 88 82.1 0.9338 6.6% Texas Harris NAA Houston‐Galv

482010046 29.8275 ‐95.283611 78.7 73.4 0.9338 6.6% Texas Harris NAA Houston‐Galv

482010047 29.834722 ‐95.489167 78.7 72.9 0.9264 7.4% Texas Harris NAA Houston‐Galv482010066 29.724722 ‐95.503611 92.3 85.4 0.9253 7.5% Texas Harris NAA Houston‐Galv482010075 29.752778 ‐95.350278 83.3 76.2 0.9158 8.4% Texas Harris NAA Houston‐Galv482010070 29.735129 ‐95.315583 84.3 77.2 0.9158 8.4% Texas Harris NAA Houston‐Galv482011050 29.583032 ‐95.015535 89.3 81.1 0.909 9.1% Texas Harris NAA Houston‐Galv482010062 29.625833 ‐95.2675 95.7 86.9 0.909 9.1% Texas Harris NAA Houston‐Galv482010026 29.8025 ‐95.125556 85.7 77.7 0.9076 9.2% Texas Harris NAA Houston‐Galv482011034 29.767994 ‐95.220576 82.7 74.9 0.9066 9.3% Texas Harris NAA Houston‐Galv482011035 29.733713 ‐95.257591 86.3 78.2 0.9066 9.3% Texas Harris NAA Houston‐Galv482010055 29.695737 ‐95.499236 100.7 91.1 0.9049 9.5% Texas Harris NAA Houston‐Galv

Page 15 of 24
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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

482010051 29.623611 ‐95.473611 93 84.1 0.9049 9.5% Texas Harris NAA Houston‐Galv

482011039 29.670046 ‐95.128485 96.3 86.8 0.9015 9.9% Texas Harris NAA Houston‐Galv

480391016 29.04376 ‐95.472955 78 70.2 0.9006 9.9% Texas Brazoria NAA Houston‐Galv

482010416 29.686389 ‐95.294722 ‐7 ‐9 0.9005 10.0% Texas Harris NAA Houston‐Galv482010029 30.039444 ‐95.673889 91.7 82.3 0.8981 10.2% Texas Harris NAA Houston‐Galv

483390078 30.350317 ‐95.425134 85 75.9 0.8935 10.7% Texas Montgomery NAA Houston‐Galv

480391004 29.520427 ‐95.392522 94.7 84.4 0.8921 10.8% Texas Brazoria NAA Houston‐Galv

220570004 29.763889 ‐90.765183 79.3 71.4 0.9012 9.9% Louisiana Lafourche CBSA Houma‐Bayo

120590004 30.8475 ‐85.604444 70.3 60.1 0.8558 14.4% Florida Holmes County Holmes Coun

350250008 32.726656 ‐103.12292 71 65.2 0.919 8.1% New Mexico Lea CBSA Hobbs, NM 370030004 35.928999 ‐81.189758 77 64.6 0.8393 16.1% North Carolina Alexander CBSA Hickory‐Leno

370270003 35.935833 ‐81.530278 74.3 62.1 0.8368 16.3% North Carolina Caldwell CBSA Hickory‐Leno370870036 35.59 ‐83.0775 77.3 65.2 0.8437 15.6% North Carolina Haywood NAA Haywood and 371730002 35.435509 ‐83.443697 66.3 55.4 0.8367 16.3% North Carolina Swain NAA Haywood and 511650003 38.47753 ‐78.81952 ‐7 ‐9 0.8752 12.5% Virginia Rockingham CBSA Harrisonburg

51010002 35.8327263 ‐93.20826 72.7 63.2 0.87 13.0% Arkansas Newton CBSA Harrison, AR 

420431100 40.272222 ‐76.681389 79.3 70.4 0.8882 11.2% Pennsylvania Dauphin NAA Harrisburg‐Le

420430401 40.245 ‐76.844722 79.3 70 0.8839 11.6% Pennsylvania Dauphin NAA Harrisburg‐Le

420990301 40.456944 ‐77.165556 77 67.2 0.8732 12.7% Pennsylvania Perry NAA Harrisburg‐Le

230090102 44.351667 ‐68.227222 82 70.8 0.8638 13.6% Maine Hancock NAA Hancock, Kno

230090103 44.37705 ‐68.2609 73 63 0.8634 13.7% Maine Hancock NAA Hancock, Kno230130004 43.917955 ‐69.26059 75.3 64.6 0.8592 14.1% Maine Knox NAA Hancock, Kno360410005 43.44957 ‐74.51625 71.7 63.8 0.8907 10.9% New York Hamilton County Hamilton Cou240430009 39.565556 ‐77.721944 78.3 67.9 0.8678 13.2% Maryland Washington CBSA Hagerstown‐

540030003 39.448006 ‐77.964125 75 65 0.8678 13.2% West Virginia Berkeley CBSA Hagerstown‐280590006 30.3782867 ‐88.53393 80.3 70.6 0.8795 12.1% Mississippi Jackson CSA Gulfport‐Bilox

280470008 30.3903692 ‐89.049778 83 71.8 0.8657 13.4% Mississippi Harrison CSA Gulfport‐Bilox450830009 34.988706 ‐82.075802 82.3 68.2 0.8291 17.1% South Carolina Spartanburg CSA Greenville‐Sp450770002 34.653606 ‐82.838659 78.7 64.2 0.8158 18.4% South Carolina Pickens CSA Greenville‐Sp370670022 36.110556 ‐80.226667 78 66.1 0.8482 15.2% North Carolina Forsyth CSA Greensboro‐‐370670030 36.026 ‐80.342 76 64.2 0.8459 15.4% North Carolina Forsyth CSA Greensboro‐‐370671008 36.050833 ‐80.143889 80 67.3 0.8416 15.8% North Carolina Forsyth CSA Greensboro‐‐370810013 36.109167 ‐79.801111 82 68.7 0.839 16.1% North Carolina Guilford CSA Greensboro‐‐370670028 36.203056 ‐80.215833 73 60.7 0.8328 16.7% North Carolina Forsyth CSA Greensboro‐‐371570099 36.308889 ‐79.859167 77 63.4 0.8234 17.7% North Carolina Rockingham CSA Greensboro‐‐420590002 39.80933 ‐80.26567 80 71 0.8883 11.2% Pennsylvania Greene NAA Greene Co, P180550001 38.985578 ‐86.99012 78.3 68.1 0.8709 12.9% Indiana Greene NAA Greene Co, IN 

540250003 37.908533 ‐80.632633 69.7 60.6 0.8708 12.9% West Virginia Greenbrier County Greenbrier Co

90110124 41.35362 ‐72.07882 ‐7 ‐9 0.8776 12.2% Connecticut New London NAA Greater Conn

90131001 41.976389 ‐72.388056 88.7 76.2 0.8592 14.1% Connecticut Tolland NAA Greater Conn

90031003 41.784722 ‐72.631667 84.3 72.1 0.8563 14.4% Connecticut Hartford NAA Greater Conn

261390005 42.8944507 ‐85.852734 81.7 70.9 0.8689 13.1% Michigan Ottawa NAA Grand Rapids

260810020 42.984173 ‐85.671339 79.3 68.5 0.865 13.5% Michigan Kent NAA Grand Rapids

Page 16 of 24
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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

260810022 43.1766718 ‐85.416608 81 69.6 0.8596 14.0% Michigan Kent NAA Grand Rapids

370750001 35.25793 ‐83.79562 78.3 65.3 0.8342 16.6% North Carolina Graham County Graham Coun

60210003 39.533889 ‐122.19083 ‐7 ‐9 0.908 9.2% California Glenn County Glenn County

560050123 44.6522 ‐105.2903 67.3 ‐9 ‐9 Wyoming Campbell CBSA Gillette, WY 560050456 44.146964 ‐105.52999 64.5 ‐9 ‐9 Wyoming Campbell CBSA Gillette, WY 

240230002 39.70595 ‐79.012 75.5 67.6 0.8954 10.5% Maryland Garrett County Garrett Coun

120013011 29.546667 ‐82.296944 ‐7 ‐9 0.8197 18.0% Florida Alachua CBSA Gainesville, F

10550011 33.904039 ‐86.053867 71.7 59.5 0.8299 17.0% Alabama Etowah CBSA Gadsden, AL 

511790001 38.48123 ‐77.3704 81.7 71.8 0.8795 12.1% Virginia Stafford NAA Fredericksbu

420550001 39.961111 ‐77.475556 72.3 62.4 0.8637 13.6% Pennsylvania Franklin NAA Franklin Co, P

180690002 40.9607097 ‐85.379843 75 65.9 0.879 12.1% Indiana Huntington NAA Fort Wayne, 

180030002 41.2216862 ‐85.017151 79.3 69.6 0.8787 12.1% Indiana Allen NAA Fort Wayne, 

180030004 41.0947425 ‐85.101876 74.3 65.2 0.878 12.2% Indiana Allen NAA Fort Wayne, 

550410007 45.56498 ‐88.80859 69.5 61.5 0.8856 11.4% Wisconsin Forest County Forest County

550390006 43.687778 ‐88.421944 73.7 66.6 0.9039 9.6% Wisconsin Fond du Lac CSA Fond du Lac‐B

10331002 34.760556 ‐87.650556 72 61.5 0.8549 14.5% Alabama Colbert CBSA Florence‐Mus

450310003 34.285696 ‐79.744859 76.3 64.1 0.8402 16.0% South Carolina Darlington CBSA Florence, SC 

260492001 43.1683363 ‐83.461541 79.3 69.1 0.8723 12.8% Michigan Genesee NAA Flint, MI 

260490021 43.0472242 ‐83.670159 77.3 67 0.8676 13.2% Michigan Genesee NAA Flint, MI 

40058001 36.071667 ‐112.15306 73 67.4 0.9235 Arizona Coconino CBSA Flagstaff, AZ 

51430005 36.1797 ‐94.116827 ‐7 ‐9 0.859 14.1% Arkansas Washington CBSA Fayetteville‐S

370510008 35.158686 ‐78.728035 78 65 0.8341 16.6% North Carolina Cumberland CBSA Fayetteville, N370511003 34.968889 ‐78.9625 81.7 68.1 0.8339 16.6% North Carolina Cumberland CBSA Fayetteville, N

350450009 36.742222 ‐107.97694 69.7 65.9 0.9458 5.4% New Mexico San Juan CBSA Farmington, N

350451005 36.796667 ‐108.4725 71.3 67.1 0.9414 5.9% New Mexico San Juan CBSA Farmington, N

380171004 46.933754 ‐96.85535 60 ‐9 ‐9 North Dakota Cass CSA Fargo‐Wahpe

320010002 39.4725015 ‐118.7836 64 58.1 0.9091 9.1% Nevada Churchill CBSA Fallon, NV 181730011 37.9545107 ‐87.321939 76.7 68.5 0.8932 10.7% Indiana Warrick NAA Evansville, IN 

181730008 38.0520032 ‐87.278338 77.7 69.2 0.8917 10.8% Indiana Warrick NAA Evansville, IN 

211010014 37.871389 ‐87.463333 75.3 67 0.8911 10.9% Kentucky Henderson NAA Evansville, IN 

181290003 38.0052891 ‐87.718429 71.7 62.9 0.8779 12.2% Indiana Posey NAA Evansville, IN 

181630013 38.1139472 ‐87.536957 67.7 59.3 0.8767 12.3% Indiana Vanderburgh NAA Evansville, IN 

181730009 38.194501 ‐87.341396 72.7 63.3 0.8708 12.9% Indiana Warrick NAA Evansville, IN 

560410101 41.3730967 ‐111.04238 ‐7 ‐9 0.911 8.9% Wyoming Uinta CBSA Evanston, WY 

60231004 40.776944 ‐124.1775 ‐7 ‐9 ‐9 California Humboldt CBSA Eureka‐Arcat

410391007 43.8345 ‐123.0353 69.3 ‐9 ‐9 Oregon Lane CBSA Eugene‐Sprin410390060 44.026312 ‐123.08374 66.7 ‐9 ‐9 Oregon Lane CBSA Eugene‐Sprin

360310002 44.36608 ‐73.90312 77 68.2 0.8862 11.4% New York Essex NAA Essex Co (Wh

360310003 44.39308 ‐73.8589 74 65.5 0.8862 11.4% New York Essex NAA Essex Co (Wh420490003 42.14175 ‐80.038611 81.3 72.2 0.8889 11.1% Pennsylvania Erie NAA Erie, PA 

360150003 42.11096 ‐76.80221 68.7 60 0.8744 12.6% New York Chemung CBSA Elmira, NY 

481410029 31.78577 ‐106.32359 74.7 71 0.9518 4.8% Texas El Paso CBSA El Paso, TX 

481410037 31.768281 ‐106.50125 77.7 73.8 0.951 4.9% Texas El Paso CBSA El Paso, TX 

Page 17 of 24
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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

481410044 31.765674 ‐106.45523 73 69.4 0.951 4.9% Texas El Paso CBSA El Paso, TX 481410055 31.746758 ‐106.40279 76 72.2 0.951 4.9% Texas El Paso CBSA El Paso, TX 481410057 31.662189 ‐106.30308 75 70.9 0.9466 5.3% Texas El Paso CBSA El Paso, TX 481410058 31.893928 ‐106.42581 74.3 69.8 0.94 6.0% Texas El Paso CBSA El Paso, TX 

170491001 39.0671593 ‐88.548934 70 62.1 0.888 11.2% Illinois Effingham CBSA Effingham, IL 

80677001 37.13678 ‐107.62863 ‐7 ‐9 0.9465 5.4% Colorado La Plata CBSA Durango, CO 

80677003 37.10258 ‐107.87022 63.7 60.1 0.9438 5.6% Colorado La Plata CBSA Durango, CO 80671004 37.30389 ‐107.48417 72 67.8 0.9419 5.8% Colorado La Plata CBSA Durango, CO 10690004 31.1906565 ‐85.423117 71 60.5 0.8524 14.8% Alabama Houston CSA Dothan‐Enter

550290004 45.237778 ‐86.993611 88.7 78.2 0.8826 11.7% Wisconsin Door NAA Door Co, WI 

380070002 46.8943 ‐103.37853 61.5 ‐9 ‐9 North Dakota Billings CBSA Dickinson, ND 400430860 36.158414 ‐98.931973 72.7 63.3 0.8715 12.9% Oklahoma Dewey County Dewey Count

261250001 42.4630634 ‐83.183199 78 70.4 0.9026 9.7% Michigan Oakland NAA Detroit‐Ann A

261630019 42.4308404 ‐83.000138 82 73.9 0.9018 9.8% Michigan Wayne NAA Detroit‐Ann A

260991003 42.5133398 ‐83.005971 84 75.3 0.8968 10.3% Michigan Macomb NAA Detroit‐Ann A

260990009 42.7313941 ‐82.793463 86 76.4 0.8894 11.1% Michigan Macomb NAA Detroit‐Ann A

261630001 42.2286201 ‐83.2082 73 64.7 0.8868 11.3% Michigan Wayne NAA Detroit‐Ann A

261610008 42.2405655 ‐83.599602 78.3 69.1 0.8834 11.7% Michigan Washtenaw NAA Detroit‐Ann A

261470005 42.9533363 ‐82.456229 82.3 72 0.8754 12.5% Michigan St. Clair NAA Detroit‐Ann A

191530030 41.6031833 ‐93.6433 ‐7 ‐9 0.8792 12.1% Iowa Polk CSA Des Moines‐N

191810022 41.2855333 ‐93.583983 64.5 55.7 0.8642 13.6% Iowa Warren CSA Des Moines‐N

80590002 39.800333 ‐105.09997 76.3 71.5 0.9377 6.2% Colorado Jefferson NAA Denver‐Bould

80590011 39.743724 ‐105.17799 80.7 75.6 0.9377 6.2% Colorado Jefferson NAA Denver‐Bould80590005 39.638781 ‐105.13948 70.3 65.4 0.9311 6.9% Colorado Jefferson NAA Denver‐Bould80310014 39.751761 ‐105.03068 73 67.9 0.9302 7.0% Colorado Denver NAA Denver‐Bould80350004 39.534488 ‐105.07036 83.7 77.5 0.9265 7.4% Colorado Douglas NAA Denver‐Bould80590006 39.912799 ‐105.18859 81.7 75.4 0.9231 7.7% Colorado Jefferson NAA Denver‐Bould80130011 39.957212 ‐105.23846 77 70.4 0.9148 8.5% Colorado Boulder NAA Denver‐Bould81230009 40.386368 ‐104.73744 76.7 70 0.9131 8.7% Colorado Weld NAA Denver‐Bould80690011 40.592543 ‐105.14112 ‐7 ‐9 0.9096 9.0% Colorado Larimer NAA Denver‐Bould80691004 40.57747 ‐105.07892 72.3 65.4 0.9053 9.5% Colorado Larimer NAA Denver‐Bould80690007 40.277222 ‐105.545 76 68.4 0.9002 10.0% Colorado Larimer NAA Denver‐Bould

350290003 32.2558 ‐107.7227 ‐7 ‐9 ‐9 New Mexico Luna CBSA Deming, NM 

171150013 39.8668339 ‐88.925595 71.3 63.4 0.8898 11.0% Illinois Macon CBSA Decatur, IL 

390230003 39.855556 ‐83.9975 77 66.9 0.869 13.1% Ohio Clark NAA Dayton‐Sprin

391351001 39.835556 ‐84.720833 73 62.8 0.8607 13.9% Ohio Preble NAA Dayton‐Sprin390570006 39.665556 ‐83.943333 80.3 69.1 0.8606 13.9% Ohio Greene NAA Dayton‐Sprin

390230001 40.000833 ‐83.804444 81 69.4 0.8575 14.3% Ohio Clark NAA Dayton‐Sprin391130037 39.7850341 ‐84.134402 74 63.2 0.8551 14.5% Ohio Montgomery NAA Dayton‐Sprin391090005 40.084722 ‐84.114722 76.7 65.5 0.8544 14.6% Ohio Miami NAA Dayton‐Sprin

171613002 41.514727 ‐90.51735 65.3 57.7 0.8849 11.5% Illinois Rock Island CBSA Davenport‐M191630014 41.6991742 ‐90.521944 70.3 61.4 0.8734 12.7% Iowa Scott CBSA Davenport‐M

481130087 32.6766 ‐96.8716 87 78.7 0.9049 9.5% Texas Dallas NAA Dallas‐Fort W

Page 18 of 24
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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

481130075 32.919197 ‐96.808495 88.3 77.3 0.8764 12.4% Texas Dallas NAA Dallas‐Fort W

483970001 32.936512 ‐96.459176 79.7 69.7 0.8755 12.5% Texas Rockwall NAA Dallas‐Fort W

482311006 33.153115 ‐96.115518 78 68.1 0.8731 12.7% Texas Hunt NAA Dallas‐Fort W482570005 32.564969 ‐96.31766 74.7 64.8 0.8681 13.2% Texas Kaufman NAA Dallas‐Fort W484393011 32.65638 ‐97.08858 86 73.8 0.8585 14.2% Texas Tarrant NAA Dallas‐Fort W480850005 33.132403 ‐96.786475 90.3 76.5 0.8476 15.2% Texas Collin NAA Dallas‐Fort W

484391002 32.80582 ‐97.35657 93.3 78.4 0.8409 15.9% Texas Tarrant NAA Dallas‐Fort W484393009 32.98425 ‐97.06367 92.7 77.7 0.8392 16.1% Texas Tarrant NAA Dallas‐Fort W481390016 32.482222 ‐97.026944 ‐7 ‐9 0.8342 16.6% Texas Ellis NAA Dallas‐Fort W484392003 32.9225 ‐97.281944 93.7 78 0.8335 16.7% Texas Tarrant NAA Dallas‐Fort W

481211032 33.41065 ‐96.94452 ‐7 ‐9 0.8303 17.0% Texas Denton NAA Dallas‐Fort W

481210034 33.19447 ‐97.19357 94 77.9 0.829 17.1% Texas Denton NAA Dallas‐Fort W

484390075 32.987823 ‐97.477192 95.3 78.4 0.8232 17.7% Texas Tarrant NAA Dallas‐Fort W

482510003 32.353333 ‐97.436667 87 71.3 0.82 18.0% Texas Johnson NAA Dallas‐Fort W

483670081 32.868796 ‐97.905907 88.7 72.4 0.8168 18.3% Texas Parker NAA Dallas‐Fort W

482210001 32.441944 ‐97.803333 83 67.5 0.8138 18.6% Texas Hood NAA Dallas‐Fort W

483550026 27.832409 ‐97.555381 69 63.8 0.9247 7.5% Texas Nueces CSA Corpus Christ

483550025 27.76534 ‐97.434272 72.3 66.4 0.9188 8.1% Texas Nueces CSA Corpus Christ361010003 42.09142 ‐77.20978 ‐7 ‐9 0.8706 12.9% New York Steuben CBSA Corning, NY 

60111002 39.203056 ‐122.01667 67 59.9 0.8947 10.5% California Colusa County Colusa Count

11130002 32.4679713 ‐85.083841 71.3 62.1 0.8722 12.8% Alabama Russell CSA Columbus‐Au

132150008 32.521271 ‐84.94463 75.7 63.7 0.842 15.8% Georgia Muscogee CSA Columbus‐Au390490037 39.965075 ‐82.955266 80.3 70.6 0.8798 12.0% Ohio Franklin NAA Columbus, OH 

390490081 40.087778 ‐82.959722 79.7 69.2 0.8691 13.1% Ohio Franklin NAA Columbus, OH 

390490029 40.086667 ‐82.815556 86.3 74.8 0.8669 13.3% Ohio Franklin NAA Columbus, OH 

390410002 40.356638 ‐83.063962 78.3 67.5 0.8622 13.8% Ohio Delaware NAA Columbus, OH 

390830002 40.309722 ‐82.691944 77.7 66.7 0.8586 14.1% Ohio Knox NAA Columbus, OH 

390890005 40.026226 ‐82.433269 78 66.9 0.8582 14.2% Ohio Licking NAA Columbus, OH 390970007 39.788611 ‐83.475833 79.7 68.1 0.8555 14.5% Ohio Madison NAA Columbus, OH 

450791001 34.131262 ‐80.868318 82.3 67.1 0.8161 18.4% South Carolina Richland CSA Columbia‐Ne

450790007 34.093959 ‐80.962304 80.3 65.5 0.8161 18.4% South Carolina Richland CSA Columbia‐Ne

450790021 33.81468 ‐80.781135 72.7 59.2 0.8155 18.5% South Carolina Richland CSA Columbia‐Ne

80410013 38.958341 ‐104.81722 73.3 67.5 0.922 7.8% Colorado El Paso CBSA Colorado Spr

80410016 38.853097 ‐104.90129 73 67.1 0.9201 8.0% Colorado El Paso CBSA Colorado Spr

160550003 47.788908 ‐116.80454 67 ‐9 ‐9 Idaho Kootenai CBSA Coeur d'Alene190450021 41.8749989 ‐90.177574 71.3 62.4 0.8754 12.5% Iowa Clinton CBSA Clinton, IA 

390350064 41.361667 ‐81.864722 73 66.3 0.9091 9.1% Ohio Cuyahoga NAA Cleveland‐Ak

390355002 41.536667 ‐81.459167 79.7 70.9 0.8904 11.0% Ohio Cuyahoga NAA Cleveland‐Ak390071001 41.959444 ‐80.5725 89 79 0.8877 11.2% Ohio Ashtabula NAA Cleveland‐Ak390850003 41.673056 ‐81.4225 86.3 76.5 0.8866 11.3% Ohio Lake NAA Cleveland‐Ak390350034 41.555 ‐81.575 71 62.9 0.8861 11.4% Ohio Cuyahoga NAA Cleveland‐Ak390850007 41.7268211 ‐81.241959 80.7 71.2 0.8835 11.7% Ohio Lake NAA Cleveland‐Ak390930018 41.420882 ‐82.095729 76.7 67.5 0.8803 12.0% Ohio Lorain NAA Cleveland‐Ak

Page 19 of 24
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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

391530020 41.106111 ‐81.503889 83.7 73.1 0.8734 12.7% Ohio Summit NAA Cleveland‐Ak

391030003 41.102778 ‐81.911667 80.3 69.6 0.8679 13.2% Ohio Medina NAA Cleveland‐Ak390550004 41.515 ‐81.249444 79.3 68.8 0.8677 13.2% Ohio Geauga NAA Cleveland‐Ak391331001 41.1825 ‐81.330278 83.7 72.3 0.8643 13.6% Ohio Portage NAA Cleveland‐Ak280110001 33.746056 ‐90.723028 74.3 64.1 0.8632 13.7% Mississippi Bolivar CBSA Cleveland, M

60333001 39.031389 ‐122.92222 60.7 55.7 0.919 8.1% California Lake CBSA Clearlake, CA 

420630004 40.56333 ‐78.919972 80 70.7 0.8845 11.6% Pennsylvania Indiana NAA Clearfield & I

420334000 41.1175 ‐78.526194 78.3 67.7 0.8656 13.4% Pennsylvania Clearfield NAA Clearfield & I210470006 36.911667 ‐87.323611 78 66.1 0.8481 15.2% Kentucky Christian NAA Clarkesville‐H170230001 39.210883 ‐87.668416 66 57.7 0.8751 12.5% Illinois Clark County Clark County, 

330090010 43.629611 ‐72.309583 67 58.2 0.8689 13.1% New Hampshire Grafton CSA Claremont‐Le

390610040 39.128611 ‐84.504167 81.7 73.4 0.8991 10.1% Ohio Hamilton NAA Cincinnati‐Ha210373002 39.021806 ‐84.474453 ‐7 ‐9 0.8894 11.1% Kentucky Campbell NAA Cincinnati‐Ha390250022 39.082319 ‐84.144193 81 71.8 0.8871 11.3% Ohio Clermont NAA Cincinnati‐Ha390610006 39.278499 ‐84.365974 84.7 74.9 0.8851 11.5% Ohio Hamilton NAA Cincinnati‐Ha390610010 39.214931 ‐84.690723 82 72.5 0.8847 11.5% Ohio Hamilton NAA Cincinnati‐Ha390170004 39.383333 ‐84.544167 83.3 72.8 0.8745 12.6% Ohio Butler NAA Cincinnati‐Ha210150003 38.918056 ‐84.852778 75.7 65.8 0.8693 13.1% Kentucky Boone NAA Cincinnati‐Ha391650007 39.427797 ‐84.202208 88.3 76.5 0.8671 13.3% Ohio Warren NAA Cincinnati‐Ha390271002 39.43 ‐83.788611 82.3 70.3 0.8542 14.6% Ohio Clinton NAA Cincinnati‐Ha

60070002 39.7575 ‐121.84222 73 66.6 0.9134 8.7% California Butte NAA Chico, CA 

60070007 39.714167 ‐121.61778 83.7 75.9 0.908 9.2% California Butte NAA Chico, CA 

550590019 42.504722 ‐87.8093 84.7 78.6 0.9289 7.1% Wisconsin Kenosha NAA Chicago‐Gary

170314002 41.8552431 ‐87.75247 66.3 62.8 0.9477 5.2% Illinois Cook NAA Chicago‐Gary

170311003 41.9843323 ‐87.792002 76.3 71.1 0.9331 6.7% Illinois Cook NAA Chicago‐Gary170436001 41.8130494 ‐88.072827 69 64.3 0.9324 6.8% Illinois DuPage NAA Chicago‐Gary170310076 41.7514 ‐87.713488 77 71.2 0.9258 7.4% Illinois Cook NAA Chicago‐Gary170317002 42.0618572 ‐87.674167 77.7 71.8 0.9247 7.5% Illinois Cook NAA Chicago‐Gary180892008 41.6394601 ‐87.493623 77.7 71.7 0.9228 7.7% Indiana Lake NAA Chicago‐Gary180890030 41.6813997 ‐87.494734 81 74.7 0.9228 7.7% Indiana Lake NAA Chicago‐Gary170971007 42.4675733 ‐87.810047 78 71.9 0.9224 7.8% Illinois Lake NAA Chicago‐Gary170971002 42.3867056 ‐87.841406 76.7 70.7 0.9224 7.8% Illinois Lake NAA Chicago‐Gary170311601 41.6681203 ‐87.99057 76.7 70.6 0.9205 8.0% Illinois Cook NAA Chicago‐Gary170310001 41.6709919 ‐87.732457 77.3 71 0.919 8.1% Illinois Cook NAA Chicago‐Gary170314201 42.1399962 ‐87.799227 74.3 68.1 0.9169 8.3% Illinois Cook NAA Chicago‐Gary170314007 42.0602847 ‐87.863225 71.7 65.7 0.9169 8.3% Illinois Cook NAA Chicago‐Gary180890022 41.6066805 ‐87.304729 77.7 70.9 0.9133 8.7% Indiana Lake NAA Chicago‐Gary170310032 41.7558324 ‐87.54535 74.3 67.6 0.911 8.9% Illinois Cook NAA Chicago‐Gary170310064 41.7907869 ‐87.601647 71.3 64.9 0.911 8.9% Illinois Cook NAA Chicago‐Gary181270024 41.6175583 ‐87.199248 78.3 70.6 0.9028 9.7% Indiana Porter NAA Chicago‐Gary171971011 41.2215371 ‐88.190967 71.7 64.6 0.9014 9.9% Illinois Will NAA Chicago‐Gary170890005 42.0491478 ‐88.273029 74.3 66.4 0.8946 10.5% Illinois Kane NAA Chicago‐Gary181270026 41.5102932 ‐87.038546 75.3 66.9 0.8887 11.1% Indiana Porter NAA Chicago‐Gary

Page 20 of 24
All sites

Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

171110001 42.2214417 ‐88.242207 73.3 65.1 0.8883 11.2% Illinois McHenry NAA Chicago‐Gary

450250001 34.615367 ‐80.198787 75 63.4 0.8461 15.4% South Carolina Chesterfield County Chesterfield C470651011 35.233527 ‐85.181806 80 68.1 0.852 14.8% Tennessee Hamilton CSA Chattanooga‐470654003 35.102638 ‐85.162194 81 68.7 0.8486 15.1% Tennessee Hamilton CSA Chattanooga‐371190041 35.2401 ‐80.785683 88 75.3 0.856 14.4% North Carolina Mecklenburg NAA Charlotte‐Gas371191005 35.1131637 ‐80.919532 80.3 68.6 0.8552 14.5% North Carolina Mecklenburg NAA Charlotte‐Gas371191009 35.347222 ‐80.695 89.3 75.2 0.8428 15.7% North Carolina Mecklenburg NAA Charlotte‐Gas371090004 35.438556 ‐81.27675 81 68.2 0.8425 15.8% North Carolina Lincoln NAA Charlotte‐Gas450910006 34.935817 ‐81.228409 76.7 64.3 0.8396 16.0% South Carolina York NAA Charlotte‐Gas371590022 35.534482 ‐80.66756 86.7 72.7 0.8392 16.1% North Carolina Rowan NAA Charlotte‐Gas371590021 35.551868 ‐80.395039 86.7 72.3 0.8349 16.5% North Carolina Rowan NAA Charlotte‐Gas371790003 34.973889 ‐80.540833 79.3 65.4 0.8257 17.4% North Carolina Union NAA Charlotte‐Gas450190046 32.941023 ‐79.657187 74 64.9 0.8774 12.3% South Carolina Charleston CBSA Charleston‐N450150002 32.987252 ‐79.9367 67.3 58.1 0.8641 13.6% South Carolina Berkeley CBSA Charleston‐N540390010 38.3456 ‐81.628317 77.3 66.3 0.8589 14.1% West Virginia Kanawha NAA Charleston, W

191130028 41.910556 ‐91.651944 67.7 59.5 0.879 12.1% Iowa Linn CBSA Cedar Rapids

191130033 42.280556 ‐91.526944 68.3 59.7 0.8747 12.5% Iowa Linn CBSA Cedar Rapids

290390001 37.700861 ‐94.034811 75.7 65.2 0.8621 13.8% Missouri Cedar County Cedar County

370330001 36.307033 ‐79.467417 76.3 64.1 0.8407 15.9% North Carolina Caswell County Caswell Coun

260270003 41.8955698 ‐86.001629 80.7 69.9 0.8665 13.4% Michigan Cass NAA Cass Co, MI 

210430500 38.238333 ‐82.988333 71 61.1 0.8618 13.8% Kentucky Carter County Carter County350151005 32.38 ‐104.26222 69 ‐9 ‐9 New Mexico Eddy CBSA Carlsbad‐Arte

120712002 26.547861 ‐81.98 70.3 60 0.8548 14.5% Florida Lee CBSA Cape Coral‐Fo120713002 26.448889 ‐81.939444 70.3 59.3 0.8448 15.5% Florida Lee CBSA Cape Coral‐Fo

391510016 40.827778 ‐81.378611 78 68 0.8722 12.8% Ohio Stark NAA Canton‐Mass

391514005 40.930833 ‐81.123611 81 69.9 0.8635 13.7% Ohio Stark NAA Canton‐Mass

261130001 44.3105554 ‐84.891865 73.7 64.5 0.8753 12.5% Michigan Missaukee CBSA Cadillac, MI 

160230101 43.460556 ‐113.56222 ‐7 ‐9 ‐9 Idaho Butte County Butte County

500070007 44.52839 ‐72.86884 69.7 61.5 0.8827 11.7% Vermont Chittenden CBSA Burlington‐So

380130004 48.64193 ‐102.4018 57.5 ‐9 ‐9 North Dakota Burke County Burke County

360631006 43.22386 ‐78.47888 82.7 76.1 0.9203 8.0% New York Niagara NAA Buffalo‐Niaga360290002 42.99328 ‐78.77153 85 75.7 0.8907 10.9% New York Erie NAA Buffalo‐Niaga

131270006 31.1697349 ‐81.495881 67 56.4 0.842 15.8% Georgia Glynn CBSA Brunswick, GA 

480610006 25.892509 ‐97.493824 66 ‐9 ‐9 Texas Cameron CSA Brownsville‐H

480430101 29.3025 ‐103.16782 64 ‐9 ‐9 Texas Brewster County Brewster Cou

210610501 37.131389 ‐86.148056 73.7 63.3 0.8602 14.0% Kentucky Edmonson CBSA Bowling Gree

212270008 37.036667 ‐86.250556 72 61.4 0.8537 14.6% Kentucky Warren CBSA Bowling Gree330115001 42.86175 ‐71.878389 78.3 67.9 0.8678 13.2% New Hampshire Hillsborough NAA Boston‐Manc

330012004 43.566111 ‐71.496361 71.3 61.4 0.8623 13.8% New Hampshire Belknap NAA Boston‐Manc330131007 43.2185 ‐71.5145 71.7 61.2 0.8546 14.5% New Hampshire Merrimack NAA Boston‐Manc330150016 43.045278 ‐70.713806 77 67.2 0.8737 12.6% New Hampshire Rockingham NAA Boston‐Manc330150014 43.075333 ‐70.748 75.3 65.7 0.8737 12.6% New Hampshire Rockingham NAA Boston‐Manc330111011 42.718472 ‐71.522472 78.7 67.7 0.8612 13.9% New Hampshire Hillsborough NAA Boston‐Manc

Page 21 of 24
All sites

Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

330110020 42.995778 ‐71.462528 70.3 60 0.8542 14.6% New Hampshire Hillsborough NAA Boston‐Manc

250250042 42.3294 ‐71.0825 67.3 60 0.893 10.7% Massachusetts Suffolk NAA Boston‐Lawre250092006 42.4746711 ‐70.971358 83.3 73.9 0.8876 11.2% Massachusetts Essex NAA Boston‐Lawre250250041 42.3171723 ‐70.966159 80.3 71.1 0.8856 11.4% Massachusetts Suffolk NAA Boston‐Lawre250070001 41.3304803 ‐70.785361 83 73.4 0.8849 11.5% Massachusetts Dukes NAA Boston‐Lawre250171102 42.413574 ‐71.482775 77.3 67.6 0.8758 12.4% Massachusetts Middlesex NAA Boston‐Lawre250010002 41.9755706 ‐70.023331 84.7 73.8 0.8724 12.8% Massachusetts Barnstable NAA Boston‐Lawre250051002 41.6332779 ‐70.879162 82.7 71.9 0.8699 13.0% Massachusetts Bristol NAA Boston‐Lawre250170009 42.62668 ‐71.362068 79 68.5 0.8677 13.2% Massachusetts Middlesex NAA Boston‐Lawre250213003 42.2116739 ‐71.113865 84.7 73.4 0.8673 13.3% Massachusetts Norfolk NAA Boston‐Lawre250270015 42.2741769 ‐71.875289 80 69.1 0.8642 13.6% Massachusetts Worcester NAA Boston‐Lawre250095005 42.7707696 ‐71.102259 80 69 0.8626 13.7% Massachusetts Essex NAA Boston‐Lawre171132003 40.5187354 ‐88.996896 73 63.8 0.8741 12.6% Illinois McLean CBSA Bloomington‐

380150003 46.825425 ‐100.76821 ‐7 ‐9 ‐9 North Dakota Burleigh CBSA Bismarck, ND 

60270101 36.508611 ‐116.84778 82.3 75.1 0.913 8.7% California Inyo CBSA Bishop, CA 

10736002 33.578333 ‐86.773889 81.3 69.3 0.8533 14.7% Alabama Jefferson NAA Birmingham, 10735002 33.704722 ‐86.669167 74 62.8 0.8496 15.0% Alabama Jefferson NAA Birmingham, 10730023 33.553056 ‐86.815 78.7 66.1 0.841 15.9% Alabama Jefferson NAA Birmingham, 10735003 33.801667 ‐86.9425 77 64.6 0.8398 16.0% Alabama Jefferson NAA Birmingham, 

10732006 33.386389 ‐86.816667 83.7 70.1 0.8376 16.2% Alabama Jefferson NAA Birmingham, 10731003 33.485556 ‐86.915 79 65.7 0.8325 16.8% Alabama Jefferson NAA Birmingham, 11170004 33.316944 ‐86.825 85.7 71.1 0.8299 17.0% Alabama Shelby NAA Birmingham, 10731005 33.331111 ‐87.003611 81 67.1 0.829 17.1% Alabama Jefferson NAA Birmingham, 

10731009 33.459722 ‐87.305556 77 63.7 0.8277 17.2% Alabama Jefferson NAA Birmingham, 

10731010 33.545278 ‐86.549167 73 60 0.8223 17.8% Alabama Jefferson NAA Birmingham, 

330074001 44.270167 ‐71.30375 77 67.5 0.8778 12.2% New Hampshire Coos CBSA Berlin, NH‐VT 

330074002 44.308167 ‐71.217694 65 57 0.8778 12.2% New Hampshire Coos CBSA Berlin, NH‐VT 260190003 44.6169431 ‐86.109408 81.7 72.4 0.8866 11.3% Michigan Benzie NAA Benzie Co, M

260210014 42.1977895 ‐86.309694 82.3 73.6 0.8954 10.5% Michigan Berrien NAA Benton Harbo

500030004 42.88759 ‐73.24984 72 62.6 0.8698 13.0% Vermont Bennington CBSA Bennington, V

482451035 29.978926 ‐94.010858 ‐7 ‐9 0.904 9.6% Texas Jefferson NAA Beaumont‐Po482450011 29.89403 ‐93.987898 80 72.2 0.9031 9.7% Texas Jefferson NAA Beaumont‐Po482450628 29.865 ‐93.955 78 70.4 0.9031 9.7% Texas Jefferson NAA Beaumont‐Po483611100 30.194167 ‐93.866944 73 65.6 0.8994 10.1% Texas Orange NAA Beaumont‐Po482450009 30.036446 ‐94.071073 81.7 73.1 0.8954 10.5% Texas Jefferson NAA Beaumont‐Po483611001 30.08526 ‐93.761345 78 69.7 0.8945 10.6% Texas Orange NAA Beaumont‐Po482450022 29.863961 ‐94.317781 79.7 70.9 0.8908 10.9% Texas Jefferson NAA Beaumont‐Po220331001 30.587222 ‐91.206944 86 79 0.9187 8.1% Louisiana East Baton RouNAA Baton Rouge, 

220330003 30.418889 ‐91.183333 92 84 0.9136 8.6% Louisiana East Baton RouNAA Baton Rouge, 220330009 30.46198 ‐91.17922 80.3 73.3 0.9136 8.6% Louisiana East Baton RouNAA Baton Rouge, 221210001 30.500643 ‐91.213556 84.3 77 0.9136 8.6% Louisiana West Baton RoNAA Baton Rouge, 220770001 30.684722 ‐91.366667 83.7 76.4 0.9134 8.7% Louisiana Pointe CoupeeNAA Baton Rouge, 220470012 30.206985 ‐91.129948 85 77.4 0.9113 8.9% Louisiana Iberville NAA Baton Rouge, 

Page 22 of 24
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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

220050004 30.233889 ‐90.968333 82 74.4 0.9085 9.2% Louisiana Ascension NAA Baton Rouge, 

220330013 30.700278 ‐91.055833 81.3 73.8 0.9083 9.2% Louisiana East Baton RouNAA Baton Rouge, 

220630002 30.3125 ‐90.8125 78.3 70.8 0.9047 9.5% Louisiana Livingston NAA Baton Rouge, 

220470009 30.220556 ‐91.316111 80 71.9 0.8993 10.1% Louisiana Iberville NAA Baton Rouge, 

220470007 30.4 ‐91.425 84 75.5 0.8993 10.1% Louisiana Iberville NAA Baton Rouge, 

230194008 44.73487 ‐68.6785 67 58.3 0.8705 13.0% Maine Penobscot CBSA Bangor, ME 

245100054 39.32889 ‐76.5525 ‐7 ‐9 0.9182 8.2% Maryland Baltimore (CityNAA Baltimore, M

240053001 39.310833 ‐76.474444 85.3 77.1 0.9046 9.5% Maryland Baltimore NAA Baltimore, M

240251001 39.41 ‐76.296667 92.7 82.3 0.8885 11.2% Maryland Harford NAA Baltimore, M

240051007 39.462024 ‐76.631261 77.3 68.2 0.8828 11.7% Maryland Baltimore NAA Baltimore, M

240130001 39.444167 ‐77.041667 83.3 72 0.865 13.5% Maryland Carroll NAA Baltimore, M

240259001 39.563333 ‐76.203889 88.3 76.2 0.864 13.6% Maryland Harford NAA Baltimore, M

240030014 38.9025 ‐76.653056 89.7 77.3 0.8626 13.7% Maryland Anne Arundel NAA Baltimore, M

370110002 35.972222 ‐81.933056 70 58.6 0.8385 16.2% North Carolina Avery County Avery County484530020 30.483175 ‐97.87231 79.3 69.1 0.8714 12.9% Texas Travis CBSA Austin‐Round 

484530014 30.354438 ‐97.76024 81.3 70.3 0.8657 13.4% Texas Travis CBSA Austin‐Round 

230112005 44.230622 ‐69.785 69.7 59.4 0.8536 14.6% Maine Kennebec CBSA Augusta‐Wat

132450091 33.4340299 ‐82.02226 80.3 67.3 0.8387 16.1% Georgia Richmond CBSA Augusta‐Rich

130730001 33.5821435 ‐82.131189 73 61.2 0.8387 16.1% Georgia Columbia CBSA Augusta‐Rich450370001 33.739963 ‐81.853635 70 58.3 0.8338 16.6% South Carolina Edgefield CBSA Augusta‐Rich450030003 33.342226 ‐81.788731 76 63.2 0.8317 16.8% South Carolina Aiken CBSA Augusta‐Rich131210055 33.7205704 ‐84.357365 91.7 80 0.8725 12.8% Georgia Fulton NAA Atlanta, GA 

130890002 33.688075 ‐84.290175 88.7 77.3 0.8725 12.8% Georgia DeKalb NAA Atlanta, GA 

130970004 33.7436561 ‐84.779192 87.3 73.7 0.8448 15.5% Georgia Douglas NAA Atlanta, GA 

131510002 33.433575 ‐84.161708 89.7 75.7 0.844 15.6% Georgia Henry NAA Atlanta, GA 

130670003 34.0154817 ‐84.607407 82.7 69.6 0.8422 15.8% Georgia Cobb NAA Atlanta, GA 

131350002 33.963074 ‐84.069193 88.7 74.6 0.842 15.8% Georgia Gwinnett NAA Atlanta, GA 

130850001 34.3763282 ‐84.059353 76.3 63.5 0.8326 16.7% Georgia Dawson NAA Atlanta, GA 

130770002 33.4039851 ‐84.745956 82 68.2 0.832 16.8% Georgia Coweta NAA Atlanta, GA 132470001 33.5910772 ‐84.065294 90 74.6 0.8295 17.1% Georgia Rockdale NAA Atlanta, GA 

132230003 33.92855 ‐85.04548 80.3 65.3 0.8142 18.6% Georgia Paulding NAA Atlanta, GA 

130590002 33.918062 ‐83.344397 80.7 65.6 0.8133 18.7% Georgia Clarke CBSA Athens‐Clarke 

390090004 39.307978 ‐82.118247 ‐7 ‐9 0.844 15.6% Ohio Athens CBSA Athens, OH 

550030010 46.602344 ‐90.656153 63 55.6 0.8839 11.6% Wisconsin Ashland County Ashland Coun

370870004 35.505278 ‐82.964722 71.3 60.5 0.8497 15.0% North Carolina Haywood CSA Asheville‐Bre

370210030 35.500102 ‐82.59986 74 62.1 0.8393 16.1% North Carolina Buncombe CSA Asheville‐Bre230031100 46.696431 ‐68.033006 ‐7 ‐9 0.8837 11.6% Maine Aroostook County Aroostook Co

550870009 44.306944 ‐88.395556 74 65.8 0.8898 11.0% Wisconsin Outagamie CSA Appleton‐Osh

191690011 41.8828667 ‐93.6878 61 53.2 0.8724 12.8% Iowa Story CSA Ames‐Boone, 

132611001 31.9532422 ‐84.079354 72.3 61.2 0.8475 15.3% Georgia Sumter CBSA Americus, GA 

60090001 38.201944 ‐120.68056 91.3 81.9 0.8978 10.2% California Calaveras NAA Amador & Ca

60050002 38.34 ‐120.7625 83 73.8 0.8896 11.0% California Amador NAA Amador & Ca

420130801 40.535278 ‐78.370833 74.3 66.1 0.8903 11.0% Pennsylvania Blair NAA Altoona, PA 

Page 23 of 24
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Monitor AIRS ID Monitor Latitiude Monitor Longitude Base year 2003‐ 2007 Design Value Transport Rule 2014 projected design value RRF Modeled Percent change between 2005 and 2014 State County Hypothetical Area Type Hypothetica

420950025 40.628056 ‐75.341111 84.3 73.8 0.8756 12.4% Pennsylvania Northampton NAA Allentown‐Be

420770004 40.611944 ‐75.4325 83.3 72.8 0.8751 12.5% Pennsylvania Lehigh NAA Allentown‐Be

420958000 40.692224 ‐75.237156 80 69.6 0.8702 13.0% Pennsylvania Northampton NAA Allentown‐Be260050003 42.7677856 ‐86.148577 90 80.4 0.894 10.6% Michigan Allegan NAA Allegan Co, M

350431001 35.299444 ‐106.54833 67.7 62.8 0.9287 7.1% New Mexico Sandoval CBSA Albuquerque

350011012 35.1852 ‐106.50815 77 70.9 0.9216 7.8% New Mexico Bernalillo CBSA Albuquerque

350011013 35.19324 ‐106.61382 73.7 67.4 0.9154 8.5% New Mexico Bernalillo CBSA Albuquerque

350010027 35.1539 ‐106.69715 71.7 65.2 0.9099 9.0% New Mexico Bernalillo CBSA Albuquerque

350010024 35.0631 ‐106.57879 72.3 65.1 0.901 9.9% New Mexico Bernalillo CBSA Albuquerque

350010023 35.1343 ‐106.5852 71 63.9 0.901 9.9% New Mexico Bernalillo CBSA Albuquerque

350010029 35.01708 ‐106.65739 69 62.1 0.9005 10.0% New Mexico Bernalillo CBSA Albuquerque

360930003 42.79901 ‐73.9389 70 61.4 0.8777 12.2% New York Schenectady NAA Albany‐Schen

360010012 42.68075 ‐73.75733 73.7 64.3 0.8736 12.6% New York Albany NAA Albany‐Schen

360830004 42.78189 ‐73.46363 77.3 67.5 0.8733 12.7% New York Rensselaer NAA Albany‐Schen

360910004 43.01209 ‐73.6489 79.7 69.3 0.8705 13.0% New York Saratoga NAA Albany‐Schen

400019009 35.750735 ‐94.669697 75.7 65.3 0.8633 13.7% Oklahoma Adair County Adair County

450010001 34.325318 ‐82.386376 79 66 0.8355 16.5% South Carolina Abbeville County Abbeville Cou

Page 24 of 24
Sites 08‐10 > 75

Monitor

AIRS ID

Monitor

Latitiude

Monitor

Longitude

Base year

2003‐2007

Design Value

Transport Rule

2014 projected

design value

RRF Percent change State County Hypothetical Area Type Hypothetical NAA Name 

420770004 40.611944 ‐75.4325 83.3 72.8 0.8751 12.5% Pennsylvania Lehigh NAA Allentown‐Bethlehem‐Easton, PA 

60090001 38.201944 ‐120.68056 91.3 81.9 0.8978 10.2% California Calaveras NAA Amador & Calaveras Cos (Central Mtn), CA 

60050002 38.34 ‐120.7625 83 73.8 0.8896 11.0% California Amador NAA Amador & Calaveras Cos (Central Mtn), CA 

131210055 33.7205704 ‐84.357365 91.7 80 0.8725 12.8% Georgia Fulton NAA Atlanta, GA 

130890002 33.688075 ‐84.290175 88.7 77.3 0.8725 12.8% Georgia DeKalb NAA Atlanta, GA 

131510002 33.433575 ‐84.161708 89.7 75.7 0.844 15.6% Georgia Henry NAA Atlanta, GA 

132470001 33.5910772 ‐84.065294 90 74.6 0.8295 17.1% Georgia Rockdale NAA Atlanta, GA 

130670003 34.0154817 ‐84.607407 82.7 69.6 0.8422 15.8% Georgia Cobb NAA Atlanta, GA 

240251001 39.41 ‐76.296667 92.7 82.3 0.8885 11.2% Maryland Harford NAA Baltimore, MD 240030014 38.9025 ‐76.653056 89.7 77.3 0.8626 13.7% Maryland Anne ArundelNAA Baltimore, MD 

240053001 39.310833 ‐76.474444 85.3 77.1 0.9046 9.5% Maryland Baltimore NAA Baltimore, MD 

240259001 39.563333 ‐76.203889 88.3 76.2 0.864 13.6% Maryland Harford NAA Baltimore, MD 240130001 39.444167 ‐77.041667 83.3 72 0.865 13.5% Maryland Carroll NAA Baltimore, MD 240051007 39.462024 ‐76.631261 77.3 68.2 0.8828 11.7% Maryland Baltimore NAA Baltimore, MD 220330003 30.418889 ‐91.183333 92 84 0.9136 8.6% Louisiana East Baton RoNAA Baton Rouge, LA 

250070001 41.3304803 ‐70.785361 83 73.4 0.8849 11.5% Massachusetts Dukes NAA Boston‐Lawrence‐Worcester (E. Mass), MA 

250270015 42.2741769 ‐71.875289 80 69.1 0.8642 13.6% Massachusetts Worcester NAA Boston‐Lawrence‐Worcester (E. Mass), MA 

371190041 35.2401 ‐80.785683 88 75.3 0.856 14.4% North Carolina Mecklenburg NAA Charlotte‐Gastonia‐Rock Hill, NC‐SC 

371191009 35.347222 ‐80.695 89.3 75.2 0.8428 15.7% North Carolina Mecklenburg NAA Charlotte‐Gastonia‐Rock Hill, NC‐SC 

371590022 35.534482 ‐80.66756 86.7 72.7 0.8392 16.1% North Carolina Rowan NAA Charlotte‐Gastonia‐Rock Hill, NC‐SC 

371590021 35.551868 ‐80.395039 86.7 72.3 0.8349 16.5% North Carolina Rowan NAA Charlotte‐Gastonia‐Rock Hill, NC‐SC 

60070007 39.714167 ‐121.61778 83.7 75.9 0.908 9.2% California Butte NAA Chico, CA 

391650007 39.427797 ‐84.202208 88.3 76.5 0.8671 13.3% Ohio Warren NAA Cincinnati‐Hamilton, OH‐KY‐IN 

390610006 39.278499 ‐84.365974 84.7 74.9 0.8851 11.5% Ohio Hamilton NAA Cincinnati‐Hamilton, OH‐KY‐IN 

390610040 39.128611 ‐84.504167 81.7 73.4 0.8991 10.1% Ohio Hamilton NAA Cincinnati‐Hamilton, OH‐KY‐IN 

390071001 41.959444 ‐80.5725 89 79 0.8877 11.2% Ohio Ashtabula NAA Cleveland‐Akron‐Lorain, OH 390850003 41.673056 ‐81.4225 86.3 76.5 0.8866 11.3% Ohio Lake NAA Cleveland‐Akron‐Lorain, OH 390550004 41.515 ‐81.249444 79.3 68.8 0.8677 13.2% Ohio Geauga NAA Cleveland‐Akron‐Lorain, OH 

390490029 40.086667 ‐82.815556 86.3 74.8 0.8669 13.3% Ohio Franklin NAA Columbus, OH 481130087 32.6766 ‐96.8716 87 78.7 0.9049 9.5% Texas Dallas NAA Dallas‐Fort Worth, TX 

484391002 32.80582 ‐97.35657 93.3 78.4 0.8409 15.9% Texas Tarrant NAA Dallas‐Fort Worth, TX 484390075 32.987823 ‐97.477192 95.3 78.4 0.8232 17.7% Texas Tarrant NAA Dallas‐Fort Worth, TX 484392003 32.9225 ‐97.281944 93.7 78 0.8335 16.7% Texas Tarrant NAA Dallas‐Fort Worth, TX 481210034 33.19447 ‐97.19357 94 77.9 0.829 17.1% Texas Denton NAA Dallas‐Fort Worth, TX 

484393009 32.98425 ‐97.06367 92.7 77.7 0.8392 16.1% Texas Tarrant NAA Dallas‐Fort Worth, TX 481130075 32.919197 ‐96.808495 88.3 77.3 0.8764 12.4% Texas Dallas NAA Dallas‐Fort Worth, TX 480850005 33.132403 ‐96.786475 90.3 76.5 0.8476 15.2% Texas Collin NAA Dallas‐Fort Worth, TX 484393011 32.65638 ‐97.08858 86 73.8 0.8585 14.2% Texas Tarrant NAA Dallas‐Fort Worth, TX 482510003 32.353333 ‐97.436667 87 71.3 0.82 18.0% Texas Johnson NAA Dallas‐Fort Worth, TX 481211032 33.41065 ‐96.94452 ‐7 ‐9 0.8303 17.0% Texas Denton NAA Dallas‐Fort Worth, TX 

80350004 39.534488 ‐105.07036 83.7 77.5 0.9265 7.4% Colorado Douglas NAA Denver‐Boulder‐Greeley‐Ft Collins‐Loveland

80590006 39.912799 ‐105.18859 81.7 75.4 0.9231 7.7% Colorado Jefferson NAA Denver‐Boulder‐Greeley‐Ft Collins‐Loveland

90131001 41.976389 ‐72.388056 88.7 76.2 0.8592 14.1% Connecticut Tolland NAA Greater Connecticut, CT 

90110124 41.35362 ‐72.07882 ‐7 ‐9 0.8776 12.2% Connecticut New London NAA Greater Connecticut, CT 

370810013 36.109167 ‐79.801111 82 68.7 0.839 16.1% North Carolina Guilford CSA Greensboro‐‐Winston‐Salem‐‐High Point, NC 

370670022 36.110556 ‐80.226667 78 66.1 0.8482 15.2% North Carolina Forsyth CSA Greensboro‐‐Winston‐Salem‐‐High Point, NC 

450830009 34.988706 ‐82.075802 82.3 68.2 0.8291 17.1% South Carolina Spartanburg CSA Greenville‐Spartanburg‐Anderson, SC 

Page 1 of 5
Sites 08‐10 > 75

Monitor

AIRS ID

Monitor

Latitiude

Monitor

Longitude

Base year

2003‐2007

Design Value

Transport Rule

2014 projected

design value

RRF Percent change State County Hypothetical Area Type Hypothetical NAA Name 

280470008 30.3903692 ‐89.049778 83 71.8 0.8657 13.4% Mississippi Harrison CSA Gulfport‐Biloxi‐Pascagoula, MS 482010055 29.695737 ‐95.499236 100.7 91.1 0.9049 9.5% Texas Harris NAA Houston‐Galveston‐Brazoria, TX 

482011039 29.670046 ‐95.128485 96.3 86.8 0.9015 9.9% Texas Harris NAA Houston‐Galveston‐Brazoria, TX 480391004 29.520427 ‐95.392522 94.7 84.4 0.8921 10.8% Texas Brazoria NAA Houston‐Galveston‐Brazoria, TX 

482010051 29.623611 ‐95.473611 93 84.1 0.9049 9.5% Texas Harris NAA Houston‐Galveston‐Brazoria, TX 

482010029 30.039444 ‐95.673889 91.7 82.3 0.8981 10.2% Texas Harris NAA Houston‐Galveston‐Brazoria, TX 

482010024 29.901111 ‐95.326111 88 82.1 0.9338 6.6% Texas Harris NAA Houston‐Galveston‐Brazoria, TX 

482011035 29.733713 ‐95.257591 86.3 78.2 0.9066 9.3% Texas Harris NAA Houston‐Galveston‐Brazoria, TX 482010026 29.8025 ‐95.125556 85.7 77.7 0.9076 9.2% Texas Harris NAA Houston‐Galveston‐Brazoria, TX 482011034 29.767994 ‐95.220576 82.7 74.9 0.9066 9.3% Texas Harris NAA Houston‐Galveston‐Brazoria, TX 482010047 29.834722 ‐95.489167 78.7 72.9 0.9264 7.4% Texas Harris NAA Houston‐Galveston‐Brazoria, TX 

482010416 29.686389 ‐95.294722 ‐7 ‐9 0.9005 10.0% Texas Harris NAA Houston‐Galveston‐Brazoria, TX 

60251003 32.791667 ‐115.56167 85 77.1 0.9071 9.3% California Imperial NAA Imperial Co, CA 60250005 32.676111 ‐115.48333 74.7 67.7 0.9071 9.3% California Imperial NAA Imperial Co, CA 

360130006 42.49963 ‐79.31881 86.7 77.1 0.8904 11.0% New York Chautauqua NAA Jamestown, NY 

60290011 35.050556 ‐118.14639 87 78.2 0.8991 10.1% California Kern NAA Kern Co (Eastern Kern), CA 

470931020 36.019186 ‐83.87381 85 71.5 0.8412 15.9% Tennessee Knox NAA Knoxville, TN 470090101 35.6314897 ‐83.943513 85.3 71.3 0.8363 16.4% Tennessee Blount NAA Knoxville, TN 471550102 35.562778 ‐83.498056 80.7 67.6 0.8388 16.1% Tennessee Sevier NAA Knoxville, TN 471550101 35.696667 ‐83.609722 79 65.6 0.8316 16.8% Tennessee Sevier NAA Knoxville, TN 420710007 40.046667 ‐76.283333 83.3 72.7 0.8737 12.6% Pennsylvania Lancaster NAA Lancaster, PA 

320030075 36.272382 ‐115.23824 83.7 74.1 0.8859 11.4% Nevada Clark NAA Las Vegas, NV 

60710005 34.2431 ‐117.27235 123.3 115.7 0.9384 6.2% California San BernardinNAA Los Angeles South Coast Air Basin, CA 

60714003 34.05977 ‐117.14731 119.3 111.5 0.935 6.5% California San BernardinNAA Los Angeles South Coast Air Basin, CA 60719004 34.10688 ‐117.27411 115.7 108.1 0.935 6.5% California San BernardinNAA Los Angeles South Coast Air Basin, CA 60376012 34.38344 ‐118.5284 114 107.4 0.9426 5.7% California Los Angeles NAA Los Angeles South Coast Air Basin, CA 

60712002 34.10002 ‐117.49201 114.3 106.8 0.935 6.5% California San BernardinNAA Los Angeles South Coast Air Basin, CA 

60650012 33.92086 ‐116.85841 112.3 104.8 0.9334 6.7% California Riverside NAA Los Angeles South Coast Air Basin, CA 

60658001 33.99958 ‐117.41601 108.7 101.6 0.935 6.5% California Riverside NAA Los Angeles South Coast Air Basin, CA 

60711004 34.10374 ‐117.62914 106.3 100.2 0.9429 5.7% California San BernardinNAA Los Angeles South Coast Air Basin, CA 

60370016 34.14435 ‐117.85036 102 96.1 0.9428 5.7% California Los Angeles NAA Los Angeles South Coast Air Basin, CA 

60371201 34.19925 ‐118.53276 101.7 95.8 0.9426 5.7% California Los Angeles NAA Los Angeles South Coast Air Basin, CA 

60659001 33.67649 ‐117.33098 101 95.1 0.9424 5.8% California Riverside NAA Los Angeles South Coast Air Basin, CA 

60371701 34.06703 ‐117.7514 100.3 94.5 0.9429 5.7% California Los Angeles NAA Los Angeles South Coast Air Basin, CA 

60370002 34.1365 ‐117.92391 91.7 86.4 0.9428 5.7% California Los Angeles NAA Los Angeles South Coast Air Basin, CA 

60372005 34.1326 ‐118.1272 91.3 86.2 0.9445 5.6% California Los Angeles NAA Los Angeles South Coast Air Basin, CA 

60656001 33.78942 ‐117.22764 89.3 84.1 0.9424 5.8% California Riverside NAA Los Angeles South Coast Air Basin, CA 

60371002 34.17605 ‐118.31712 89 84 0.9445 5.6% California Los Angeles NAA Los Angeles South Coast Air Basin, CA 

60592022 33.63003 ‐117.67593 84.3 79.9 0.9485 5.2% California Orange NAA Los Angeles South Coast Air Basin, CA 

60651016 33.945 ‐116.83 ‐7 ‐9 0.9334 6.7% California Riverside NAA Los Angeles South Coast Air Basin, CA 

60719002 34.071389 ‐116.39056 103.7 94.7 0.9134 8.7% California San BernardinNAA Los Angeles‐San Bernardino Cos (W. Mojave

60714001 34.418056 ‐117.28472 100.7 94.4 0.9384 6.2% California San BernardinNAA Los Angeles‐San Bernardino Cos (W. Mojave60379033 34.671389 ‐118.13056 96.3 90.5 0.9404 6.0% California Los Angeles NAA Los Angeles‐San Bernardino Cos (W. Mojave60710306 34.51 ‐117.33056 91.7 86 0.9384 6.2% California San BernardinNAA Los Angeles‐San Bernardino Cos (W. Mojave60710001 34.895 ‐117.02361 84.7 77.5 0.9155 8.5% California San BernardinNAA Los Angeles‐San Bernardino Cos (W. Mojave60710012 34.426111 ‐117.56306 98 91.9 0.9384 6.2% California San BernardinNAA Los Angeles‐San Bernardino Cos(W Mojave)60430003 37.713333 ‐119.70389 86.3 77.8 0.9024 9.8% California Mariposa NAA Mariposa & Tuolumne Cos (Southern Mtn), 

Page 2 of 5
Sites 08‐10 > 75

Monitor

AIRS ID

Monitor

Latitiude

Monitor

Longitude

Base year

2003‐2007

Design Value

Transport Rule

2014 projected

design value

RRF Percent change State County Hypothetical Area Type Hypothetical NAA Name 

60430006 37.55 ‐119.84361 83.7 75 0.8972 10.3% California Mariposa NAA Mariposa & Tuolumne Cos (Southern Mtn), 

61090005 37.981667 ‐120.37861 80 72 0.901 9.9% California Tuolumne NAA Mariposa & Tuolumne Cos (Southern Mtn), 

471570021 35.2175 ‐90.019444 80 68.3 0.8541 14.6% Tennessee Shelby NAA Memphis, TN‐AR 

471650007 36.297778 ‐86.652778 83 69.3 0.8359 16.4% Tennessee Sumner CSA Nashville‐Davidson‐‐Murfreesboro‐‐Columb

60570005 39.234444 ‐121.05556 96.3 86.1 0.8946 10.5% California Nevada NAA Nevada Co (Western part), CA 

60570007 39.316667 ‐120.84444 85 76 0.8946 10.5% California Nevada NAA Nevada Co (Western part), CA 

90011123 41.399167 ‐73.443056 92.3 81.8 0.8865 11.4% Connecticut Fairfield NAA New York‐N. New Jersey‐Long Island, NY‐NJ

361030002 40.74529 ‐73.41919 90 81.6 0.9074 9.3% New York Suffolk NAA New York‐N. New Jersey‐Long Island, NY‐NJ

361030009 40.82799 ‐73.05754 90.3 81.6 0.9045 9.6% New York Suffolk NAA New York‐N. New Jersey‐Long Island, NY‐NJ

90013007 41.1525 ‐73.103056 90 81.3 0.9038 9.6% Connecticut Fairfield NAA New York‐N. New Jersey‐Long Island, NY‐NJ

90093002 41.260833 ‐72.55 90.3 80.9 0.8964 10.4% Connecticut New Haven NAA New York‐N. New Jersey‐Long Island, NY‐NJ

361192004 41.05192 ‐73.76366 87.7 79.5 0.9071 9.3% New York Westchester NAA New York‐N. New Jersey‐Long Island, NY‐NJ

90010017 41.003611 ‐73.585 88 79.4 0.9025 9.8% Connecticut Fairfield NAA New York‐N. New Jersey‐Long Island, NY‐NJ

90019003 41.118333 ‐73.336667 87.7 79.3 0.9048 9.5% Connecticut Fairfield NAA New York‐N. New Jersey‐Long Island, NY‐NJ

340170006 40.67025 ‐74.126081 85.7 78.8 0.9196 8.0% New Jersey Hudson NAA New York‐N. New Jersey‐Long Island, NY‐NJ

90070007 41.552222 ‐72.63 90.3 78.8 0.8729 12.7% Connecticut Middlesex NAA New York‐N. New Jersey‐Long Island, NY‐NJ

340250005 40.278461 ‐74.005343 87.3 78 0.8936 10.6% New Jersey Monmouth NAA New York‐N. New Jersey‐Long Island, NY‐NJ

340190001 40.515253 ‐74.806753 89 77.2 0.8679 13.2% New Jersey Hunterdon NAA New York‐N. New Jersey‐Long Island, NY‐NJ340230011 40.462182 ‐74.429439 88.3 76.8 0.8707 12.9% New Jersey Middlesex NAA New York‐N. New Jersey‐Long Island, NY‐NJ361030004 40.96078 ‐72.71238 84.7 76.2 0.9007 9.9% New York Suffolk NAA New York‐N. New Jersey‐Long Island, NY‐NJ340290006 40.064847 ‐74.444058 93 80.7 0.8683 13.2% New Jersey Ocean NAA Philadelphia‐Wilmington‐Atlantic City, PA‐N

421010024 40.076389 ‐75.011944 90.3 79.6 0.8824 11.8% Pennsylvania Philadelphia NAA Philadelphia‐Wilmington‐Atlantic City, PA‐N420170012 40.107222 ‐74.882222 88 78 0.887 11.3% Pennsylvania Bucks NAA Philadelphia‐Wilmington‐Atlantic City, PA‐N340071001 39.68425 ‐74.861491 89.3 77.6 0.8692 13.1% New Jersey Camden NAA Philadelphia‐Wilmington‐Atlantic City, PA‐N340210005 40.2830917 ‐74.742644 88 77.5 0.8812 11.9% New Jersey Mercer NAA Philadelphia‐Wilmington‐Atlantic City, PA‐N240150003 39.701111 ‐75.86 90.7 76.9 0.848 15.2% Maryland Cecil NAA Philadelphia‐Wilmington‐Atlantic City, PA‐N420910013 40.112222 ‐75.309167 85.7 75.2 0.8779 12.2% Pennsylvania Montgomery NAA Philadelphia‐Wilmington‐Atlantic City, PA‐N340150002 39.800339 ‐75.212119 87 75.2 0.8648 13.5% New Jersey Gloucester NAA Philadelphia‐Wilmington‐Atlantic City, PA‐N420290100 39.8344606 ‐75.768242 86 73.2 0.8521 14.8% Pennsylvania Chester NAA Philadelphia‐Wilmington‐Atlantic City, PA‐N100051003 38.779167 ‐75.163056 82.7 72.1 0.8729 12.7% Delaware Sussex NAA Philadelphia‐Wilmington‐Atlantic City, PA‐N100031010 39.817222 ‐75.563889 82.3 71.5 0.869 13.1% Delaware New Castle NAA Philadelphia‐Wilmington‐Atlantic City, PA‐N340110007 39.422273 ‐75.025204 83.3 71 0.8525 14.8% New Jersey Cumberland NAA Philadelphia‐Wilmington‐Atlantic City, PA‐N100051002 38.644444 ‐75.613056 81.3 68.9 0.8477 15.2% Delaware Sussex NAA Philadelphia‐Wilmington‐Atlantic City, PA‐N

40137021 33.507916 ‐111.75462 83 73.9 0.8905 11.0% Arizona Maricopa NAA Phoenix‐Mesa, AZ 40131004 33.56033 ‐112.06626 82.7 73.6 0.8905 11.0% Arizona Maricopa NAA Phoenix‐Mesa, AZ 

420031005 40.617222 ‐79.732222 83.7 73.9 0.8833 11.7% Pennsylvania Allegheny NAA Pittsburgh‐Beaver Valley, PA 

420050001 40.8141826 ‐79.56475 83 72.2 0.8708 12.9% Pennsylvania Armstrong NAA Pittsburgh‐Beaver Valley, PA 

420030008 40.465556 ‐79.961111 79.3 70.6 0.8905 11.0% Pennsylvania Allegheny NAA Pittsburgh‐Beaver Valley, PA 

440090007 41.491667 ‐71.427778 86 75.3 0.8766 12.3% Rhode Island Washington NAA Providence (all RI), RI 420110011 40.38335 ‐75.9686 ‐7 ‐9 0.8703 13.0% Pennsylvania Berks NAA Reading, PA 

61030004 40.262222 ‐122.09278 82.7 75.7 0.9156 8.4% California Tehama CBSA Red Bluff, CA 

510870014 37.55652 ‐77.40027 82 71.1 0.8677 13.2% Virginia Henrico NAA Richmond‐Petersburg, VA 

60655001 33.85275 ‐116.54101 102.3 93.3 0.9129 8.7% California Riverside NAA Riverside Co (Coachella Valley), CA 60652002 33.70853 ‐116.21537 91 81.5 0.8957 10.4% California Riverside NAA Riverside Co (Coachella Valley), CA 

60651999 33.56125 ‐116.15338 ‐7 ‐9 0.8957 10.4% California Riverside NAA Riverside Co (Coachella Valley), CA 

60670012 38.683889 ‐121.16278 97.3 86.5 0.8892 11.1% California Sacramento NAA Sacramento Metro, CA 60170020 38.890556 ‐121 96 85.2 0.8884 11.2% California El Dorado NAA Sacramento Metro, CA 

Page 3 of 5
Sites 08‐10 > 75

Monitor

AIRS ID

Monitor

Latitiude

Monitor

Longitude

Base year

2003‐2007

Design Value

Transport Rule

2014 projected

design value

RRF Percent change State County Hypothetical Area Type Hypothetical NAA Name 

60675003 38.494444 ‐121.21 94.3 83.8 0.8892 11.1% California Sacramento NAA Sacramento Metro, CA 

60610004 39.100278 ‐120.95278 94 83.5 0.8884 11.2% California Placer NAA Sacramento Metro, CA 

60170010 38.727222 ‐120.81806 93.7 83.2 0.889 11.1% California El Dorado NAA Sacramento Metro, CA 

60610002 38.937778 ‐121.10389 91.3 81.1 0.8884 11.2% California Placer NAA Sacramento Metro, CA 

60670006 38.614167 ‐121.36694 90.7 80.6 0.8892 11.1% California Sacramento NAA Sacramento Metro, CA 

60610006 38.745833 ‐121.26528 88 78.2 0.8892 11.1% California Placer NAA Sacramento Metro, CA 

60670011 38.301944 ‐121.42222 82.3 73.3 0.8918 10.8% California Sacramento NAA Sacramento Metro, CA 

60731006 32.842297 ‐116.76833 87.7 79.6 0.9078 9.2% California San Diego NAA San Diego, CA 60731002 33.127711 ‐117.07533 73.3 66.4 0.9062 9.4% California San Diego NAA San Diego, CA 60010007 37.6875 ‐121.7842 78.3 71.1 0.9086 9.1% California Alameda NAA San Francisco Bay Area, CA 60690003 36.485278 ‐121.15556 75 69.2 0.9228 7.7% California San Benito NAA San Francisco Bay Area, CA 60131002 38.010556 ‐121.64139 72.7 65.3 0.8994 10.1% California Contra Costa NAA San Francisco Bay Area, CA 

60295001 35.208333 ‐118.78444 110 98.7 0.8978 10.2% California Kern NAA San Joaquin Valley, CA 

61070009 36.489167 ‐118.82694 103.7 93.6 0.9027 9.7% California Tulare NAA San Joaquin Valley, CA 

60290007 35.346111 ‐118.85111 98.7 90 0.9125 8.8% California Kern NAA San Joaquin Valley, CA 

60290014 35.356111 ‐119.04028 97.7 89.1 0.9125 8.8% California Kern NAA San Joaquin Valley, CA 

60190008 36.781389 ‐119.77222 98.3 88.7 0.9027 9.7% California Fresno NAA San Joaquin Valley, CA 

60290232 35.438889 ‐119.01583 95.7 87.3 0.9125 8.8% California Kern NAA San Joaquin Valley, CA 

60190242 36.841389 ‐119.87444 96.3 86.9 0.9027 9.7% California Fresno NAA San Joaquin Valley, CA 

61070006 36.567222 ‐118.77806 96 86.6 0.9027 9.7% California Tulare NAA San Joaquin Valley, CA 

60194001 36.5975 ‐119.50361 93.7 84.8 0.9056 9.4% California Fresno NAA San Joaquin Valley, CA 

61072002 36.332222 ‐119.29028 92 83.3 0.906 9.4% California Tulare NAA San Joaquin Valley, CA 

60195001 36.819167 ‐119.71639 91.3 82.4 0.9027 9.7% California Fresno NAA San Joaquin Valley, CA 

60296001 35.503611 ‐119.27167 89 81.2 0.9125 8.8% California Kern NAA San Joaquin Valley, CA 

60290008 35.054444 ‐119.40389 89.3 80.8 0.9052 9.5% California Kern NAA San Joaquin Valley, CA 

60470003 37.281667 ‐120.43361 89.3 79.9 0.8955 10.5% California Merced NAA San Joaquin Valley, CA 

60190007 36.705556 ‐119.74139 87.7 79.4 0.9054 9.5% California Fresno NAA San Joaquin Valley, CA 

60990005 37.641667 ‐120.99361 84.7 76.2 0.8999 10.0% California Stanislaus NAA San Joaquin Valley, CA 

60990006 37.488333 ‐120.83583 84.7 76.1 0.8987 10.1% California Stanislaus NAA San Joaquin Valley, CA 

60390004 36.866667 ‐120.01 79.3 71.5 0.9027 9.7% California Madera NAA San Joaquin Valley, CA 

60310500 36.233318 ‐119.76525 ‐7 ‐9 0.906 9.4% California Kings NAA San Joaquin Valley, CA 

60773005 37.6825 ‐121.44056 ‐7 ‐9 0.8998 10.0% California San Joaquin NAA San Joaquin Valley, CA 

60798005 35.644167 ‐120.23 ‐7 ‐9 0.9174 8.3% California San Luis ObispCBSA San Luis Obispo‐Paso Robles, CA 

60798006 35.600625 ‐120.25423 ‐7 ‐9 0.9174 8.3% California San Luis ObispCBSA San Luis Obispo‐Paso Robles, CA 60831025 34.48974 ‐120.04692 73.3 67.6 0.9225 7.8% California Santa BarbaraCBSA Santa Barbara‐Santa Maria‐Goleta, CA 

100051002 38.644444 ‐75.613056 81.3 68.9 0.8477 15.2% Delaware Sussex NAA Seaford, DE 

100051003 38.779167 ‐75.163056 82.7 72.1 0.8729 12.7% Delaware Sussex NAA Seaford, DE 551170006 43.666944 ‐87.716389 88 79.8 0.9079 9.2% Wisconsin Sheboygan NAA Sheboygan, WI 

250130008 42.1943805 ‐72.555112 87.3 74.5 0.8535 14.7% Massachusetts Hampden NAA Springfield (W. Mass), MA 

250154002 42.2982787 ‐72.333904 85 73 0.8595 14.1% Massachusetts Hampshire NAA Springfield (W. Mass), MA 

291831002 38.8725459 ‐90.226489 86.3 76 0.8809 11.9% Missouri Saint Charles NAA St. Louis, MO‐IL 560350099 42.719 ‐109.753 ‐7 ‐9 ‐9 Wyoming Sublette County Sublette County, WY 

61010004 39.205572 ‐121.82036 82 73.3 0.8947 10.5% California Sutter NAA Sutter Co (Sutter Buttes), CA 

61112002 34.2775 ‐118.68472 89.7 84.5 0.9426 5.7% California Ventura NAA Ventura Co, CA 

61111004 34.448333 ‐119.23028 88.3 81.4 0.9223 7.8% California Ventura NAA Ventura Co, CA 

61110009 34.404611 ‐118.81 84 79.1 0.9426 5.7% California Ventura NAA Ventura Co, CA 61110007 34.21 ‐118.86944 79 72.8 0.9223 7.8% California Ventura NAA Ventura Co, CA 

Page 4 of 5
Sites 08‐10 > 75

Monitor

AIRS ID

Monitor

Latitiude

Monitor

Longitude

Base year

2003‐2007

Design Value

Transport Rule

2014 projected

design value

RRF Percent change State County Hypothetical Area Type Hypothetical NAA Name 

240338003 38.81194 ‐76.74417 91 78.3 0.8609 13.9% Maryland Prince GeorgeNAA Washington, DC‐MD‐VA 

510590030 38.77335 ‐77.10468 88 78 0.8864 11.4% Virginia Fairfax NAA Washington, DC‐MD‐VA 

510130020 38.8577 ‐77.05922 86.7 76.9 0.888 11.2% Virginia Arlington NAA Washington, DC‐MD‐VA 

110010043 38.921847 ‐77.013178 84.7 74.8 0.8835 11.7% District Of Columbi District of Col NAA Washington, DC‐MD‐VA 

240330030 39.055277 ‐76.878333 85 74.8 0.881 11.9% Maryland Prince GeorgeNAA Washington, DC‐MD‐VA 

110010041 38.897222 ‐76.952778 80.3 70.9 0.8835 11.7% District Of Columbi District of Col NAA Washington, DC‐MD‐VA 

240090011 38.536722 ‐76.617194 81 69.1 0.8542 14.6% Maryland Calvert NAA Washington, DC‐MD‐VA 550590019 42.504722 ‐87.8093 84.7 78.6 0.9289 7.1% Wisconsin Kenosha NAA Chicago‐Gary‐Lake County, IL‐IN/Milwaukee 

Page 5 of 5
Summary Areas‐Proposal

State County

Hypo

AreaType

Hypothetical Area Name

Measured

2008‐2010

DV

2015

Extrapolated

DV from 08‐10

Hypothetical

Classification

Projected to

Attain by 2015?

(based on

projected 2008‐

2010 design

value data)

Transport Ru

2014

projected

design valu

California Nevada NAA Nevada Co (Western part), CA 84 79.1 Marginal No 86

New York Suffolk NAA New York‐N. New Jersey‐Long Island, NY‐NJ‐CT 84 79.5 Marginal No 81California San Luis Obispo CBSA San Luis Obispo‐Paso Robles, CA 84 80.1 Marginal No N

Texas Brazoria NAA Houston‐Galveston‐Brazoria, TX 84 79.0 Marginal No 91

California Calaveras NAA Amador & Calaveras Cos (Central Mtn), CA 83 78.3 Marginal No 81California Kern NAA Kern Co (Eastern Kern), CA 83 78.3 Marginal No 78

California Mariposa NAA Mariposa & Tuolumne Cos (Southern Mtn), CA 83 78.5 Marginal No 77

Pennsylvania Bucks NAA Philadelphia‐Wilmington‐Atlantic City, PA‐NJ‐MD‐DE 83 77.8 Marginal No 80

North Carolina Mecklenburg NAA Charlotte‐Gastonia‐Rock Hill, NC‐SC 82 74.8 Marginal Yes 75

Pennsylvania Allegheny NAA Pittsburgh‐Beaver Valley, PA 81 75.7 Marginal Yes 73

Virginia Fairfax NAA Washington, DC‐MD‐VA 81 75.9 Marginal Yes 78Georgia Fulton NAA Atlanta, GA 80 74.3 Marginal Yes 80California Tehama CBSA Red Bluff, CA 80 76.2 Marginal No 75California Alameda NAA San Francisco Bay Area, CA 80 75.9 Marginal Yes 71

Connecticut Tolland NAA Greater Connecticut, CT 79 72.8 Marginal Yes 76

California Butte NAA Chico, CA 79 75.0 Marginal Yes 75

Ohio Hamilton NAA Cincinnati‐Hamilton, OH‐KY‐IN 79 74.0 Marginal Yes 76Pennsylvania Berks NAA Reading, PA 79 73.3 Marginal Yes NColorado Jefferson NAA Denver‐Boulder‐Greeley‐Ft Collins‐Loveland, CO 78 74.7 Marginal Yes 77California Imperial NAA Imperial Co, CA 78 74.0 Marginal Yes 77Louisiana East Baton Rouge NAA Baton Rouge, LA 78 74.3 Marginal Yes 84

Massachusetts Dukes NAA Boston‐Lawrence‐Worcester (E. Mass), MA 78 73.0 Marginal Yes 73Wisconsin Sheboygan NAA Sheboygan, WI 78 74.0 Marginal Yes 79Wyoming Sublette County Sublette County, WY 78 N/A Marginal N/A NNew York Chautauqua NAA Jamestown, NY 77 72.3 Marginal Yes 77

Ohio Ashtabula NAA Cleveland‐Akron‐Lorain, OH 77 72.2 Marginal Yes 79

Ohio Franklin NAA Columbus, OH 77 71.3 Marginal Yes 74

Tennessee Blount NAA Knoxville, TN 77 70.0 Marginal Yes 71Pennsylvania Lancaster NAA Lancaster, PA 77 71.6 Marginal Yes 72Arizona Maricopa NAA Phoenix‐Mesa, AZ 77 72.3 Marginal Yes 73

Massachusetts Hampshire NAA Springfield (W. Mass), MA 77 71.0 Marginal Yes 74Missouri Saint Charles NAA St. Louis, MO‐IL 77 71.9 Marginal Yes 76

North Carolina Forsyth CSA Greensboro‐‐Winston‐Salem‐‐High Point, NC 76 69.6 Marginal Yes 68

South Carolina Spartanburg CSA Greenville‐Spartanburg‐Anderson, SC 76 68.8 Marginal Yes 68Mississippi Harrison CSA Gulfport‐Biloxi‐Pascagoula, MS 76 70.3 Marginal Yes 71Pennsylvania Lehigh NAA Allentown‐Bethlehem‐Easton, PA 76 70.7 Marginal Yes 72

Nevada Clark NAA Las Vegas, NV 76 71.2 Marginal Yes 74

Tennessee Shelby NAA Memphis, TN‐AR 76 69.8 Marginal Yes 68

Tennessee Sumner CSA Nashville‐Davidson‐‐Murfreesboro‐‐Columbia, TN 76 69.1 Marginal Yes 69Rhode Island Washington NAA Providence (all RI), RI 76 70.8 Marginal Yes 75Virginia Henrico NAA Richmond‐Petersburg, VA 76 70.4 Marginal Yes 71California Santa Barbara CBSA Santa Barbara‐Santa Maria‐Goleta, CA 76 72.7 Marginal Yes 67

California Sutter NAA Sutter Co (Sutter Buttes), CA 76 71.6 Marginal Yes 73

California San Bernardino NAA Los Angeles‐San Bernardino Cos(W Mojave),CA 99 95.6 Moderate No 94

California Riverside NAA Riverside Co (Coachella Valley), CA 95 90.4 Moderate No 93

Maryland Harford NAA Baltimore, MD 89 83.5 Moderate No 82

Page 1 of 2
Summary Areas‐Proposal

State County

Hypo

AreaType

Hypothetical Area Name

Measured

2008‐2010

DV

2015

Extrapolated

DV from 08‐10

Hypothetical

Classification

Projected to

Attain by 2015?

(based on

projected 2008‐

2010 design

value data)

Transport Ru

2014

projected

design valu

California San Diego NAA San Diego, CA 88 83.5 Moderate No 79Texas Tarrant NAA Dallas‐Fort Worth, TX 86 78.0 Moderate No 78

California Ventura NAA Ventura Co, CA 86 83.3 Moderate No 81California San Bernardino NAA Los Angeles South Coast Air Basin, CA 112 108.2 Serious No 115California Kern NAA San Joaquin Valley, CA 104 98.1 Serious No 98California Sacramento NAA Sacramento Metro, CA 102 95.7 Serious No 86

Page 2 of 2
Summary Table‐Proposal

Methodology

Total Number of

Hypothetical

Areas Based on

2008‐2010 Design

Values

Number of

Marginal

Hypothetical

Areas Based on

2008‐2010 Design

Values

Number of

Hypothetical

Marginal Areas

Projected to

Attain by 2015

Number of

Hypothetical

Marginal

Areas Without

a Projection

Projection of 2008‐

2010 DVs using TR

Modeling

52 43 33 1*

Projection of 2003‐

2007 DVs using TR

Modeling

52 43 25 3**

** 3 Areas (Sublette WY, San Luis Obispo CA, and Reading PA) did not have complete ambient

data in the 2003‐2007 period to calculate a future year DV

* 1 Area (Sublette WY) did not have enough high modeled days to calculate a future year DV

Page 1 of 1
Summary Areas‐Final

State County

Hypo

Area

Type

Hypothetical Area Name

Measured

2008‐2010

DV

2015

Extrapolated

DV from 08‐

10

Hypothetical

Classification

Projected to

Attain by 2015?

(based on

projection from

2008‐2010)

Transpor

2014 pro

design v

Pennsylvania Lehigh NAA Allentown‐Bethlehem‐Easton, PA 76 70.7 Marginal Yes 7

North Carolina Mecklenburg NAA Charlotte‐Gastonia‐Rock Hill, NC‐SC 82 74.8 Marginal Yes 7

California Butte NAA Chico, CA 79 75.0 Marginal Yes 7

Ohio Hamilton NAA Cincinnati‐Hamilton, OH‐KY‐IN 79 74.0 Marginal Yes 7

Ohio Franklin NAA Columbus, OH 77 71.3 Marginal Yes 7

Massachusetts Dukes NAA Dukes County 78 73.0 Marginal Yes 7

Connecticut Tolland NAA Greater Connecticut, CT 79 72.8 Marginal Yes 7

Tennessee Blount NAA Knoxville, TN 77 70.0 Marginal Yes 7

Pennsylvania Lancaster NAA Lancaster, PA 77 71.6 Marginal Yes 7

Tennessee Shelby NAA Memphis, TN‐AR 76 69.8 Marginal Yes 6

Arizona Maricopa NAA Phoenix‐Mesa, AZ 77 72.3 Marginal Yes 7

Pennsylvania Allegheny NAA Pittsburgh‐Beaver Valley, PA 81 75.7 Marginal Yes 7

California Alameda NAA San Francisco Bay Area, CA 80 75.9 Marginal Yes 7

Delaware Sussex NAA Seaford, DE 77 71.6 Marginal Yes 7

Missouri Saint Charles NAA St. Louis, MO‐IL 77 71.9 Marginal Yes 7California Tehama CBSA Tuscan buttes, CA 80 76.2 Marginal No 7

Georgia Fulton NAA Atlanta, GA 80 74.3 Marginal Yes 8

Louisiana East Baton Rouge NAA Baton Rouge, LA 78 74.3 Marginal Yes 8

Wisconsin Kenosha NAA Chicago, IL 74 71.1 Marginal Yes 7

Ohio Ashtabula NAA Cleveland‐Akron‐Lorain, OH 77 72.2 Marginal Yes 7

Colorado Jefferson NAA Denver‐Boulder‐Greeley‐Ft Collins‐Loveland, CO 78 74.7 Marginal Yes 7

California Imperial NAA Imperial Co, CA 78 74.0 Marginal Yes 7

New York Chautauqua NAA Jamestown, NY 77 72.3 Marginal Yes 7

Wisconsin Sheboygan NAA Sheboygan, WI 78 74.0 Marginal Yes 7

Virginia Fairfax NAA Washington, DC‐MD‐VA 81 75.9 Marginal Yes 7

California Calaveras NAA Calaveras Cos (Central Mtn), CA 83 78.3 Marginal No 8Texas Brazoria NAA Houston‐Galveston‐Brazoria, TX 84 79.0 Marginal No 9

California Kern NAA Kern Co (Eastern Kern), CA 83 78.3 Marginal No 7

California Mariposa NAA Mariposa (Southern Mtn), CA 83 78.5 Marginal No 7

California Nevada NAA Nevada Co (Western part), CA 84 79.1 Marginal No 8New York Suffolk NAA New York‐N. New Jersey‐Long Island, NY‐NJ‐CT 84 79.5 Marginal No 8Pennsylvania Bucks NAA Philadelphia‐Wilmington‐Atlantic City, PA‐NJ‐MD‐DE 83 77.8 Marginal No 8

Pennsylvania Berks NAA Reading, PA 79 73.3 Marginal Yes NCalifornia San Luis Obispo CBSA San Luis Obispo‐Paso Robles, CA 84 80.1 Marginal No N

Wyoming Sublette County Sublette County, WY 78 N/A Marginal N/A N

California San Diego NAA San Diego, CA 88 83.5 Marginal* No 7

Maryland Harford NAA Baltimore, MD 89 83.5 Moderate No 8

Texas Tarrant NAA Dallas‐Fort Worth, TX 86 78.0 Moderate No 7

California San Bernardino NAA Los Angeles‐San Bernardino Cos(W Mojave),CA 99 95.6 Moderate No 9

California Riverside NAA Riverside Co (Coachella Valley), CA 95 90.4 Moderate No 9

California Ventura NAA Ventura Co, CA 86 83.3 Moderate No 8

California NAA Pechanga Tribe N/A N/A Moderate N/A NCalifornia San Bernardino NAA Los Angeles South Coast Air Basin, CA 112 108.2 Serious No 11

California Sacramento NAA Sacramento Metro, CA 102 95.7 Serious No 8

California Kern NAA San Joaquin Valley, CA 104 98.1 Serious No 9

California NAA Morongo Tribe N/A N/A Serious N/A N

Page 1 of 1
Summary Table‐Final

Methodology

Total Number of

Hypothetical Areas Based

on 2008‐2010 Design

Values [with attaining

areas removed based on

early certified data from

2009‐2011]

Number of Marginal

Hypothetical Areas Based

on 2008‐2010 Design

Values [with attaining

areas removed based on

early certified data from

2009‐2011]

Number of

Hypothetical Marginal

Areas Projected to

Attain by 2015

Number of

Hypothetical Marginal

Areas Without a

Projection

Projection of 2008‐

2010 DVs using TR

Modeling

46 36 25 1*

Projection of 2003‐

2007 DVs using TR

Modeling

46 36 16 3**

* Sublette WY did not have enough high modeled days to calculate a future year DV.

In addition 1 moderate (Pechanga Tribe), and 1 serious area (Morongo Tribe) did not have valid ambient data for the 2008‐2010

period.

** 3 Marginal areas (Sublette WY, San Luis Obispo CA, and Reading PA) did not have complete ambient data in the 2003‐2007

period to calculate a future year DV.  

In addition 1 moderate (Pechanga Tribe), and 1 serious area (Morongo Tribe) did not have complete ambient data in the 2003‐

2007 period to calculate a future year DV.

Page 1 of 1