DRIVER County QCEW Public Data SQL1 Import 2 CSV Import 1 County GDP Wage New 3 Import NAICS OCEAN Import Census Zips Final Sums New 1.

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DRIVER County QCEW Public Data SQL1 Import 2 CSV Import 1 County GDP Wage New 3 Import NAICS OCEAN Import Census Zips Final Sums New 1

SQL 1 AREA_NALL1 – AREA_NALL30 NONP1 – NONP4 NONPFIPS1 – NONPFIPS30 STATESALL1 – STATESALL30 STATEFIPSALL1 – STATEFIPSALL30 Create Macro VARS for Program – to Run data based on Value of Parameter during Execution

area_nStatesstatefips_a 02000AK AL CA CT DE FL GA HI IL IN LA MA MD ME MI MN MS NC NH NJ NY OH OR PA RI SC TX VA WA WI55 FIPS SAS DATASET CONTENTS: AREA_N = 5 BYTES USED AS AREA, FIPS STATES = 2 BYTES USED AS STATE ABREVIATION STATEFIPS_A = 2 BYTES STATE IDENTIFIER IN FIPS When ITERATION = 1 then the following will be resolved in the macro variables: AREA_NALL1 = STATESALL1 = AK STATEFIPSALL1 = 02 This is because these are the values in the FIRST ROW of the SAS Dataset. When ITERATION = 2 then the following will be resolved in the macro variables: AREA_NALL1 = STATESALL1 = AL STATEFIPSALL1 = 01 This is because these are the values in the SECOND ROW of the SAS Dataset. NOTE1: Macro Variable : &OFIPS contains 30 2 byte Numeric FIPS CODE for States in Ocean Economy

Industry Code and Ocean Indicator File This data contains INDUSTRY CODE and Y N Indicator of whether CODE is OCEAN Y, or Not N. N Y DO NOT Use Industry Code Use Industry Code INDUSTRY CODE data is located in TABLES Directory with name: INDUSTRY_CODES.xls. SAS Dataset: INDUSTRY_CODES is located in SASDatasetsInputs directory. *If a change needs to be made to the table ensure to update the SAS Dataset. *NOTE2: Macro Variable &OCN_CDS contains list of all Industry Codes with Y

4Y 5Y 7Y 8Y 9Y 10N 11Y 14N 15N 16N 17N 18N 19Y 20N 21N 22Y 23N 24Y 26Y 27N 28N 29N 30N 31N 32N 33N 34N 35Y 37N 38N 39Y 40N 41N 42N 43Y 44Y 45N 46N 47N 48N 49N 50N 51N 52N 53N 54N 56N 57N 59N 60N 61Y 62N 64N 65N 66N 68N 69N 70N 71Y 75Y 76Y 77N 78N Industry Code and Y N Indicator if Used in Ocean Economy Report

2210Utilities 2311 Construction 4234Wholesale 4435Retail 4535Retail 5562Management 6166Education 8177Other Services 92 78Government 1114Crop and Animal 1124Crop and Animal 1135Forestry Fishing 1145Forestry Fishing 1155Forestry Fishing 2117Oil and Gas 2128Mining 2139Mining Support 32114Wood Products 32715Nonmetallic Mfg 33116Primary Metals 33217Fabricated Metals 33318Machinery 33419Computer and Electronics 33520Electrical 33723Furniture 33924Misc Mfg 311NA26Food 312NA26Food 313NA27Textiles 314NA27Textiles 315NA28Apparel 316NA28Apparel 322NA29Paper 323NA30Printing 324NA31Petroleum Mfg 325NA32Chemicals 326NA33Plastics 481NA37Air Transport 482NA38Rail Transport 483NA39Water Transport 484NA40Truck Transport 485NA41Transit 486NA42Pipelines 487NA43Other Transport 488NA43Other Transport 492NA43Other Transport 493NA44Warehousing 511NA46Warehousing 512NA47Motion Pictures 515NA48Broadcasting and Telecom 517NA48Broadcasting and Telecom 518NA49Info and Data Processing 519NA49Info and Data Processing 521NA51Federal Reserve 522NA51Federal Reserve 523NA52Securities 524NA53Insurance 525NA54Funds and Trusts 531NA56Real Estate 532NA57Rental and Leasing 533NA57Rental and Leasing 2 and 3 Digit NAICS Codes and GDP CODE Mapping.

56164Admin and Support 56265Waste Management 62168Amulatory Health 62269Hospitals and Nursing 62369Hospitals and Nursing 62470Social Assistance 71171Arts and Museums 71271Arts and Museums 71371Amusements Gambling Recreation 72175Accomodations 72276Food Services Motor Vehicle Motor Vehicle Motor Vehicle Other Trans Equip Other Trans Equip Other Trans Equip Other Trans Equip Legal Computer Systems Design Other Prof Sci and Tech Services Other Prof Sci and Tech Services Other Prof Sci and Tech Services Other Prof Sci and Tech Services Other Prof Sci and Tech Services Other Prof Sci and Tech Services Other Prof Sci and Tech Services 3 and 4 Digit NAICS Codes and GDP CODE Mapping.

Data from NAICSOCEAN.CSV file Located in TABLES Directory Ocean Indicator Ocean SectorNAICS Code NOEP_ICODENOEP_SCODE OCEAN_SCODEOCEAN_ICODE Marine Related ConstructionConstruction237990CO01CO TotalConstruction999999CO00CO Fish Hatcheries & AquacultureLiving Resources112511LR04LR Fish Hatcheries & AquacultureLiving Resources112512LR04LR Fish Hatcheries & AquacultureLiving Resources112519LR04LR FishingLiving Resources114111LR03LR FishingLiving Resources114112LR03LR FishingLiving Resources114119LR03LR TotalLiving Resources999999LR00LR Seafood ProcessingLiving Resources311711LR01LR Seafood ProcessingLiving Resources311712LR01LR Seafood MarketsLiving Resources445220LR05LR Oil & Gas Exploration Minerals211111MI02MI Oil & Gas Exploration Minerals211112MI02MI Limestone, Sand & GravelMinerals212321MI04MI Limestone, Sand & GravelMinerals212322MI04MI Oil & Gas Exploration Minerals213111MI02MI Oil & Gas Exploration Minerals213112MI02MI TotalMinerals999999MI00MI Oil & Gas Exploration Minerals541360MI02MI TotalOcean Economy999999AL00AL009099

Scenic Water ToursTourism & Recreation487210TO09TO Amusement & Recreation ServicesTourism & Recreation487990TO08TO Amusement & Recreation ServicesTourism & Recreation532292TO08TO Amusement & Recreation ServicesTourism & Recreation611620TO08TO Zoos & AquariaTourism & Recreation712130TO10TO Zoos & AquariaTourism & Recreation712190TO10TO MarinasTourism & Recreation713930TO02TO Amusement & Recreation ServicesTourism & Recreation713990TO08TO Hotels & Lodging PlacesTourism & Recreation721110TO06TO Hotels & Lodging PlacesTourism & Recreation721191TO06TO RV Parks & CampgroundsTourism & Recreation721211TO07TO Eating & Drinking PlacesTourism & Recreation722110TO04TO Eating & Drinking PlacesTourism & Recreation722211TO04TO Eating & Drinking PlacesTourism & Recreation722212TO04TO Eating & Drinking PlacesTourism & Recreation722213TO04TO WarehousingTransportation4931TR01TR Search & Navigation EquipmentTransportation334511TR03TR Marine FreightTransportation483111TR02TR Marine Passenger TransportationTransportation483112TR04TR Marine FreightTransportation483113TR02TR Marine Passenger TransportationTransportation483114TR04TR Marine Transportation ServicesTransportation488310TR07TR Marine Transportation ServicesTransportation488320TR07TR Marine Transportation ServicesTransportation488330TR07TR Marine Transportation ServicesTransportation488390TR07TR TotalTransportation999999TR00TR TotalOcean Economy Total999999AL00AL009099

OCEAN SAS Dataset Sorted by NAICS: Contains: OCEANIND OCEANSECT NAICS NOEP_ICODE NOEP_SCODE OCEAN_ICODE OCEAN_SCODE IMPORT_NAICS_OCEAN NAICSOcean.csv INFILE STATEMENT IN SAS PROGRAM Read Data from CSV into SAS Dataset Contents of OCEAN Dataset Note 3 Macro Variable &ONAICS created here is list of NAICS codes used in Ocean Economy Reporting.

IMPORT1 INFILE STATEMENT IN SAS PROGRAM ALLSTA09.csv STPUB.ALLSTATE09 Read Data from CSV into SAS Dataset Contains: AREA OWN NAICS YEAR AGGLVL ANNSTAT ESTABS EMP WAGES FIPS_ST STATEFIPS FIPS STATE Contents of STPUB.ALLSTATE09 Dataset IF FIPS IN OCEAN FIPS LIST (&OFIPS) * See NOTE1 in SLIDE 3.

IMPORT2_CSV INFILE STATEMENT IN SAS PROGRAM GDP RGDP 09 ALL REVISED.CSV STPUB.GDP09_ALL Read Data from CSV into SAS Dataset Contains: FIPS INDUSTRY_CODE GDP RGDP Contents of STPUB.GDP09_ALL Dataset IF FIPS IN OCEAN FIPS LIST (&OFIPS) * See NOTE1 in SLIDE 3. AND INDUSTRY_CODE IN (&OCN_CDS ) * See NOTE2 in SLIDE 4.

COUNTY_GDP_WAGE_NEW3 INFILE STATEMENT IN SAS PROGRAM ENOW_GEO_REFERENCE. CSV ENOW Read Data from CSV into SAS Dataset Contains: FIPS COUNTY_NAME REGION STATE_FIPS COUNTY_FIPS CZCTY FEMA WATERSHED SHORE SHORE100 WAREHOUSE MINERALS URBANINFLUENCE NONP RURALURBAN Contents of ENOW Dataset IF FIPS IN OCEAN FIPS LIST (&FIPS) * See NOTE1 in SLIDE 3. ITERATES FROM 1 TO 30 SO FIRST ITERATION WILL BE FOR 02- (AK Alaska) STEP 1. Note 1. Macro Variable &OAREAS is list of FIPS per STATE – Based on which iteration, So for 02 (AK) will be list of AREAS for OCEAN Economy in AK.

COUNTY_GDP_WAGE_NEW3 INFILE STATEMENT IN SAS PROGRAM CN02AK09.CSV AK09_QCEWCTY Read Data from CSV into SAS Dataset Contains: AREA OWN NAICS YEAR AGGLVL ANNSTAT ESTABS EMP WAGES NAICS2 NAICS3 NAICS4 COUNTY_NAME STATE FIPS Contents of AK09_QCEWCTY Dataset IF AREA IN OCEAN AREA LIST (&OAREAS) * See Note 1 SLIDE 13. AND NAICS IN (&ONAICS ) * See Note 3 in SLIDE 10. STEP 2.

COUNTY_GDP_WAGE_NEW3 USE FORMATS TO MAP GDPCODE TO NAICS 2 3 AND 4 IN SAS PROGRAM STEP 3. AK09_QCEWCTY NAICS3 &GDP_B FORMAT NAICS2 &GDP_A FORMAT NAICS4 &GDP_C FORMAT NEW VARIABLE - GDPCODE

COUNTY_GDP_WAGE_NEW3 STEP 4. MERGE OCEAN ENOW AND AK09_QCEWCTY IN SAS PROGRAM AK09_QCEWCTYMerge By NAICSOCEANMerge By FIPSENOW AK09_CTYOCEAN

COUNTY_GDP_WAGE_NEW3 STEP 5. GET GDP RGDP AND WAGES TOTAL FOR STATE TOTAL STPUB.ALLSTATE09 STPUB.GDP09_ALL Where FIPS = 02 AK First Iteration Where AREA = AK First Iteration See Step 3 to Create GDP Code from NAICS 2 3 and 4 GDP_AK09 Statewage_AK09 SUMMARY BY GDPCODE VAR WAGES

COUNTY_GDP_WAGE_NEW3 STEP 6. MERGE GDP_AK09 with STATEWAGE_AK09 IN SAS PROGRAM GDP_AK09Merge By GDPCODE STATEWAGE_AK09 GDPWAGES_AK09 Contains: GDPCODE TOTGDP TOTRGDP TOTWAGES

COUNTY_GDP_WAGE_NEW3 STEP 7. MERGE AK09_CTYOCEAN with GDPWAGES_AK09 IN SAS PROGRAM AK09_CTYOCEANMerge By GDPCODE GDPWAGES_AK09 AK09_CTY Contents of Data: AREA OWN NAICS YEAR AGGLVL ANNSTAT ESTABS EMP WAGES NAICS2 NAICS3 NAICS4 FIPS STATE COUNTY_NAME FLAG OCEANIND OCEANSECT NOEP_ICODE NOEP_SCODE OCEAN_ICODE OCEAN_SCODE REGION CZCTY FEMA WATERSHED SHORE SHORE100 WAREHOUSE MINERALS URBANINFLUENCE NONP RURALURBAN GDPCODE TOTGDP TOTRGDP TOTGAGES STATE

Contents of Data: AREA OWN NAICS YEAR AGGLVL ANNSTAT ESTABS EMP WAGES NAICS2 NAICS3 NAICS4 FIPS STATE COUNTY_NAME FLAG OCEANIND OCEANSECT NOEP_ICODE NOEP_SCODE OCEAN_ICODE OCEAN_SCODE REGION CZCTY FEMA WATERSHED SHORE SHORE100 WAREHOUSE MINERALS URBANINFLUENCE NONP RURALURBAN SAS DATASETS: AK09_CTYOCEAN and CTYPUB.AK09_CTYOCEAN. SAME DATA IN BOTH.

Contents of Data: FIPS STATE COUNTY_NAME REGION OCEANSECT OCEANIND OCEAN_SCODE NOEP_SCODE WAGES EMP ESTABS GDP RGDP FLAG CZCTY FEMA WATERSHED SHORE SHORE100 URBANINFLUENCE NONP RURALURBAN WAREHOUSE MINERALS SAS DATASETS: CTYPUB.AK09_CTY_DETAIL Contents of Data: FIPS STATE COUNTY_NAME REGION OCEANSECT OCEANIND OCEAN_SCODE NOEP_SCODE WAGES EMP ESTABS GDP RGDP FLAG CZCTY FEMA WATERSHED SHORE SHORE100 URBANINFLUENCE NONP RURALURBAN WAREHOUSE MINERALS SAS DATASETS: CTYPUB.AK09_CTY_DETAIL1 - where: If oceanind = “Warehousing” and shore = 0 then delete; If ocean_scode = 30 and Minerals =1 then delete; If ocean_scode = 50 and shore = 1 and shore100 = 0 and nonp = 0 then delete;

COUNTY_GDP_WAGE_NEW3 SUMMARIZE AK09_CTY IN SAS PROGRAM STEP 8. AK09_CTY SUMMARIZE DATA CTYPUB.AK09_CTY_DETAIL