The 2023-2028 Outlook for Biosimilars and Follow-on Biologics Drugs for US Zip Codes
This study covers the latent demand outlook for biosimilars and follow-on biologics drugs across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each zip code in question, the percent share the zip code is of its state and of the United States as a whole is reported. These comparative benchmarks allow the reader to quickly gauge a zip code vis-à-vis others. This statistical approach can prove very useful to distribution and/or sales force strategies. Using econometric models which project fundamental economic dynamics within each state and zip code, latent demand estimates are created for biosimilars and follow-on biologics drugs. This report does not discuss the specific players in the market serving the latent demand, nor specific details at the product level. The study also does not consider short-term cyclicalities that might affect realized sales. The study, therefore, is strategic in nature, taking an aggregate and long-run view, irrespective of the players or products involved.
In this report we define the sales of biosimilars and follow-on biologics drugs as including all commonly understood products and/or services falling within this broad category, irrespective of product packaging, formulation, size, or form. Companies participating in this industry include Allergan, Allozyne, Alteogen, Alvogen, Amarey Novamedical, AMEGA Biotech, Amgen, Apotex, Astellas Pharma, AstraZeneca, Avesthagen, Baxter, Bayer, Beijing Four Rings, BIOCAD, Bioceuticals, Biocon, Biogen, Biolab, Bionovis, Biopartners, Biosidus, Bioton, BioXpress Therapeutics, Boehringer Ingelheim, Bristol-Myers Squibb, Cambridge Antibody Technology, CCL Pharmaceuticals, CCM Duopharma, Celltrion, Centocor Ortho Biotech, Chong Kun Dang, Chugai, CinnaGen., Coherus BioSciences, Compass Biotechnologies, Crist?lia, CT Arzneimittel, Cyplasin, Daiichi Sankyo, Dong-A Pharmaceutical, Dr. Reddy’s Laboratories, Egis Pharmaceuticals, Eisai, Eli Lilly, Elpen Pharmaceutical, Emcure Pharmaceuticals, EMS, Epirus, Eurofarma, Express Scripts, FibroGen, Finox Biotech, Fuji Pharma, Gan & Lee, Genetech, Genexine, Gennova, GenSci, Genzyme, Geropharm, Gilead Sciences, GlaxoSmithKline, Hangzhou Jiuyuan Gene Engineering Company, Hanmi Pharmaceutical, Hanwha Chemical, Haselmeier, Health Canada, Helius Biotech, Hexal, Hindustan Antibiotic, Hospira, Hualida Biotech, Hypermarcas, IGES Institute, Intas Biopharmaceuticals, inVentiv Health, JCR Pharmaceuticals, Johnson & Johnson, Kabi, Kemwell Biopharma, Kissea, Ko?ak Farma, Kwizda Pharma, Kyowa Hakko Kirin, Landsteiner Scientific, LG Life Sciences, Libbs, LKM SA, Lonza Group, Mabion, Marvel Life Sciences, MEDICE Arzneimittel P?tter, Merck (MSD), Minapharm, Mitsubishi Tanabe, Mochida Pharmaceutical, Momenta Pharmaceuticals, Mycenax Biotech, Mylan, Nichi-Iko, Nippion Kayaku, Novartis, Novo Nordisk, Nuron Biotech, Oncobiologics, Ortho Pharmaceutical, Orygen, PanGen Biotech, Pfenex, Pfizer, Pharmapark, Pharmstandard, PRA International, Pro Generika, Qilu Pharmaceutical, Quintiles, Ranbaxy Laboratories, RAND Corporation, Ratiopharm, Regeneron Pharmaceuticals, Reliance GeneMedix, Rentschler Biotechnologie, Roche, Samsung Bioepis, Sandoz, Sanofi, SciGen, Shandong Kexing Pharma, Shanghai Celgen Biopharmaceutical, Shantha Biotechnics, Shinogi, Sicor Biotech, Sothema Laboratories, Spectrum Pharmaceuticals, Stada Arzneimittel, Stragen Pharma, Strides Arcolab, Syngene International, Synthon Biopharmaceuticals, Takeda, Teva, Tianjin Hualida Biotechnology, Tonghua Dongbao, TSH Biopharm, Uni?o Qu?mica, USV Biologics, Virchow Biotech, Wanbang Biopharmaceuticals, Wockhardt, Xiamen Amoytop Biotech, Zenotech, Zhejian Huahai Pharmaceutical, Zuventus, and Zydus Biovation. In addition to the sources indicated, additional information available to the public via news and/or press releases published by players in the industry was considered in defining and calibrating this category. All figures are in a common currency (U.S. dollars, millions) and are not adjusted for inflation (i.e., they are current values). Exchange rates used to convert to U.S. dollars are averages for the year in question. Future exchange rates are assumed to be constant in the future at the current level (the average of the year of this publication's release in 2022).
In this report we define the sales of biosimilars and follow-on biologics drugs as including all commonly understood products and/or services falling within this broad category, irrespective of product packaging, formulation, size, or form. Companies participating in this industry include Allergan, Allozyne, Alteogen, Alvogen, Amarey Novamedical, AMEGA Biotech, Amgen, Apotex, Astellas Pharma, AstraZeneca, Avesthagen, Baxter, Bayer, Beijing Four Rings, BIOCAD, Bioceuticals, Biocon, Biogen, Biolab, Bionovis, Biopartners, Biosidus, Bioton, BioXpress Therapeutics, Boehringer Ingelheim, Bristol-Myers Squibb, Cambridge Antibody Technology, CCL Pharmaceuticals, CCM Duopharma, Celltrion, Centocor Ortho Biotech, Chong Kun Dang, Chugai, CinnaGen., Coherus BioSciences, Compass Biotechnologies, Crist?lia, CT Arzneimittel, Cyplasin, Daiichi Sankyo, Dong-A Pharmaceutical, Dr. Reddy’s Laboratories, Egis Pharmaceuticals, Eisai, Eli Lilly, Elpen Pharmaceutical, Emcure Pharmaceuticals, EMS, Epirus, Eurofarma, Express Scripts, FibroGen, Finox Biotech, Fuji Pharma, Gan & Lee, Genetech, Genexine, Gennova, GenSci, Genzyme, Geropharm, Gilead Sciences, GlaxoSmithKline, Hangzhou Jiuyuan Gene Engineering Company, Hanmi Pharmaceutical, Hanwha Chemical, Haselmeier, Health Canada, Helius Biotech, Hexal, Hindustan Antibiotic, Hospira, Hualida Biotech, Hypermarcas, IGES Institute, Intas Biopharmaceuticals, inVentiv Health, JCR Pharmaceuticals, Johnson & Johnson, Kabi, Kemwell Biopharma, Kissea, Ko?ak Farma, Kwizda Pharma, Kyowa Hakko Kirin, Landsteiner Scientific, LG Life Sciences, Libbs, LKM SA, Lonza Group, Mabion, Marvel Life Sciences, MEDICE Arzneimittel P?tter, Merck (MSD), Minapharm, Mitsubishi Tanabe, Mochida Pharmaceutical, Momenta Pharmaceuticals, Mycenax Biotech, Mylan, Nichi-Iko, Nippion Kayaku, Novartis, Novo Nordisk, Nuron Biotech, Oncobiologics, Ortho Pharmaceutical, Orygen, PanGen Biotech, Pfenex, Pfizer, Pharmapark, Pharmstandard, PRA International, Pro Generika, Qilu Pharmaceutical, Quintiles, Ranbaxy Laboratories, RAND Corporation, Ratiopharm, Regeneron Pharmaceuticals, Reliance GeneMedix, Rentschler Biotechnologie, Roche, Samsung Bioepis, Sandoz, Sanofi, SciGen, Shandong Kexing Pharma, Shanghai Celgen Biopharmaceutical, Shantha Biotechnics, Shinogi, Sicor Biotech, Sothema Laboratories, Spectrum Pharmaceuticals, Stada Arzneimittel, Stragen Pharma, Strides Arcolab, Syngene International, Synthon Biopharmaceuticals, Takeda, Teva, Tianjin Hualida Biotechnology, Tonghua Dongbao, TSH Biopharm, Uni?o Qu?mica, USV Biologics, Virchow Biotech, Wanbang Biopharmaceuticals, Wockhardt, Xiamen Amoytop Biotech, Zenotech, Zhejian Huahai Pharmaceutical, Zuventus, and Zydus Biovation. In addition to the sources indicated, additional information available to the public via news and/or press releases published by players in the industry was considered in defining and calibrating this category. All figures are in a common currency (U.S. dollars, millions) and are not adjusted for inflation (i.e., they are current values). Exchange rates used to convert to U.S. dollars are averages for the year in question. Future exchange rates are assumed to be constant in the future at the current level (the average of the year of this publication's release in 2022).
1 INTRODUCTION
1.1 OVERVIEW
1.2 WHAT IS LATENT DEMAND AND THE P.I.E.?
1.3 THE METHODOLOGY
1.3.1 STEP 1. PRODUCT DEFINITION AND DATA COLLECTION
1.3.2 STEP 2. FILTERING AND SMOOTHING
1.3.3 STEP 3. FILLING IN MISSING VALUES
1.3.4 STEP 4. VARYING PARAMETER, NON-LINEAR ESTIMATION
1.3.5 STEP 5. FIXED-PARAMETER LINEAR ESTIMATION
1.3.6 STEP 6. AGGREGATION AND BENCHMARKING
1.4 FREQUENTLY ASKED QUESTIONS (FAQ)
1.4.1 CATEGORY DEFINITION
1.4.2 UNITS
1.4.3 METHODOLOGY
2 SUMMARY OF FINDINGS
2.1 LATENT DEMAND IN THE UNITED STATES
2.2 LATENT DEMAND BY YEAR IN THE UNITED STATES
2.3 TOP 100 CITIES IN THE UNITED STATES
3 FAR WEST
3.1 EXECUTIVE SUMMARY
3.2 LATENT DEMAND BY YEAR - ALASKA
3.3 CITIES SORTED BY ZIPCODE - ALASKA
3.4 LATENT DEMAND BY YEAR - CALIFORNIA
3.5 CITIES SORTED BY ZIPCODE - CALIFORNIA
3.6 LATENT DEMAND BY YEAR - HAWAII
3.7 CITIES SORTED BY ZIPCODE - HAWAII
3.8 LATENT DEMAND BY YEAR - NEVADA
3.9 CITIES SORTED BY ZIPCODE - NEVADA
3.10 LATENT DEMAND BY YEAR - OREGON
3.11 CITIES SORTED BY ZIPCODE - OREGON
3.12 LATENT DEMAND BY YEAR - WASHINGTON
3.13 CITIES SORTED BY ZIPCODE - WASHINGTON
4 GREAT LAKES
4.1 EXECUTIVE SUMMARY
4.2 LATENT DEMAND BY YEAR - ILLINOIS
4.3 CITIES SORTED BY ZIPCODE - ILLINOIS
4.4 LATENT DEMAND BY YEAR - INDIANA
4.5 CITIES SORTED BY ZIPCODE - INDIANA
4.6 LATENT DEMAND BY YEAR - MICHIGAN
4.7 CITIES SORTED BY ZIPCODE - MICHIGAN
4.8 LATENT DEMAND BY YEAR - OHIO
4.9 CITIES SORTED BY ZIPCODE - OHIO
4.10 LATENT DEMAND BY YEAR - WISCONSIN
4.11 CITIES SORTED BY ZIPCODE - WISCONSIN
5 MID-ATLANTIC
5.1 EXECUTIVE SUMMARY
5.2 LATENT DEMAND BY YEAR - DELAWARE
5.3 CITIES SORTED BY ZIPCODE - DELAWARE
5.4 LATENT DEMAND BY YEAR - DISTRICT OF COLUMBIA
5.5 CITIES SORTED BY ZIPCODE - DISTRICT OF COLUMBIA
5.6 LATENT DEMAND BY YEAR - MARYLAND
5.7 CITIES SORTED BY ZIPCODE - MARYLAND
5.8 LATENT DEMAND BY YEAR - NEW JERSEY
5.9 CITIES SORTED BY ZIPCODE - NEW JERSEY
5.10 LATENT DEMAND BY YEAR - NEW YORK
5.11 CITIES SORTED BY ZIPCODE - NEW YORK
5.12 LATENT DEMAND BY YEAR - PENNSYLVANIA
5.13 CITIES SORTED BY ZIPCODE - PENNSYLVANIA
6 NEW ENGLAND
6.1 EXECUTIVE SUMMARY
6.2 LATENT DEMAND BY YEAR - CONNECTICUT
6.3 CITIES SORTED BY ZIPCODE - CONNECTICUT
6.4 LATENT DEMAND BY YEAR - MAINE
6.5 CITIES SORTED BY ZIPCODE - MAINE
6.6 LATENT DEMAND BY YEAR - MASSACHUSETTS
6.7 CITIES SORTED BY ZIPCODE - MASSACHUSETTS
6.8 LATENT DEMAND BY YEAR - NEW HAMPSHIRE
6.9 CITIES SORTED BY ZIPCODE - NEW HAMPSHIRE
6.10 LATENT DEMAND BY YEAR - RHODE ISLAND
6.11 CITIES SORTED BY ZIPCODE - RHODE ISLAND
6.12 LATENT DEMAND BY YEAR - VERMONT
6.13 CITIES SORTED BY ZIPCODE - VERMONT
7 PLAINS
7.1 EXECUTIVE SUMMARY
7.2 LATENT DEMAND BY YEAR - IOWA
7.3 CITIES SORTED BY ZIPCODE - IOWA
7.4 LATENT DEMAND BY YEAR - KANSAS
7.5 CITIES SORTED BY ZIPCODE - KANSAS
7.6 LATENT DEMAND BY YEAR - MINNESOTA
7.7 CITIES SORTED BY ZIPCODE - MINNESOTA
7.8 LATENT DEMAND BY YEAR - MISSOURI
7.9 CITIES SORTED BY ZIPCODE - MISSOURI
7.10 LATENT DEMAND BY YEAR - NEBRASKA
7.11 CITIES SORTED BY ZIPCODE - NEBRASKA
7.12 LATENT DEMAND BY YEAR - NORTH DAKOTA
7.13 CITIES SORTED BY ZIPCODE - NORTH DAKOTA
7.14 LATENT DEMAND BY YEAR - SOUTH DAKOTA
7.15 CITIES SORTED BY ZIPCODE - SOUTH DAKOTA
8 ROCKIES
8.1 EXECUTIVE SUMMARY
8.2 LATENT DEMAND BY YEAR - COLORADO
8.3 CITIES SORTED BY ZIPCODE - COLORADO
8.4 LATENT DEMAND BY YEAR - IDAHO
8.5 CITIES SORTED BY ZIPCODE - IDAHO
8.6 LATENT DEMAND BY YEAR - MONTANA
8.7 CITIES SORTED BY ZIPCODE - MONTANA
8.8 LATENT DEMAND BY YEAR - UTAH
8.9 CITIES SORTED BY ZIPCODE - UTAH
8.10 LATENT DEMAND BY YEAR - WYOMING
8.11 CITIES SORTED BY ZIPCODE - WYOMING
9 SOUTHEAST
9.1 EXECUTIVE SUMMARY
9.2 LATENT DEMAND BY YEAR - ALABAMA
9.3 CITIES SORTED BY ZIPCODE - ALABAMA
9.4 LATENT DEMAND BY YEAR - ARKANSAS
9.5 CITIES SORTED BY ZIPCODE - ARKANSAS
9.6 LATENT DEMAND BY YEAR - FLORIDA
9.7 CITIES SORTED BY ZIPCODE - FLORIDA
9.8 LATENT DEMAND BY YEAR - GEORGIA
9.9 CITIES SORTED BY ZIPCODE - GEORGIA
9.10 LATENT DEMAND BY YEAR - KENTUCKY
9.11 CITIES SORTED BY ZIPCODE - KENTUCKY
9.12 LATENT DEMAND BY YEAR - LOUISIANA
9.13 CITIES SORTED BY ZIPCODE - LOUISIANA
9.14 LATENT DEMAND BY YEAR - MISSISSIPPI
9.15 CITIES SORTED BY ZIPCODE - MISSISSIPPI
9.16 LATENT DEMAND BY YEAR - NORTH CAROLINA
9.17 CITIES SORTED BY ZIPCODE - NORTH CAROLINA
9.18 LATENT DEMAND BY YEAR - SOUTH CAROLINA
9.19 CITIES SORTED BY ZIPCODE - SOUTH CAROLINA
9.20 LATENT DEMAND BY YEAR - TENNESSEE
9.21 CITIES SORTED BY ZIPCODE - TENNESSEE
9.22 LATENT DEMAND BY YEAR - VIRGINIA
9.23 CITIES SORTED BY ZIPCODE - VIRGINIA
9.24 LATENT DEMAND BY YEAR - WEST VIRGINIA
9.25 CITIES SORTED BY ZIPCODE - WEST VIRGINIA
10 SOUTHWEST
10.1 EXECUTIVE SUMMARY
10.2 LATENT DEMAND BY YEAR - ARIZONA
10.3 CITIES SORTED BY ZIPCODE - ARIZONA
10.4 LATENT DEMAND BY YEAR - NEW MEXICO
10.5 CITIES SORTED BY ZIPCODE - NEW MEXICO
10.6 LATENT DEMAND BY YEAR - OKLAHOMA
10.7 CITIES SORTED BY ZIPCODE - OKLAHOMA
10.8 LATENT DEMAND BY YEAR - TEXAS
10.9 CITIES SORTED BY ZIPCODE - TEXAS
11 DISCLAIMERS, WARRANTIES, AND USER AGREEMENT PROVISIONS
11.1 DISCLAIMERS & SAFE HARBOR
11.2 ICON GROUP INTERNATIONAL, INC. USER AGREEMENT PROVISIONS
1.1 OVERVIEW
1.2 WHAT IS LATENT DEMAND AND THE P.I.E.?
1.3 THE METHODOLOGY
1.3.1 STEP 1. PRODUCT DEFINITION AND DATA COLLECTION
1.3.2 STEP 2. FILTERING AND SMOOTHING
1.3.3 STEP 3. FILLING IN MISSING VALUES
1.3.4 STEP 4. VARYING PARAMETER, NON-LINEAR ESTIMATION
1.3.5 STEP 5. FIXED-PARAMETER LINEAR ESTIMATION
1.3.6 STEP 6. AGGREGATION AND BENCHMARKING
1.4 FREQUENTLY ASKED QUESTIONS (FAQ)
1.4.1 CATEGORY DEFINITION
1.4.2 UNITS
1.4.3 METHODOLOGY
2 SUMMARY OF FINDINGS
2.1 LATENT DEMAND IN THE UNITED STATES
2.2 LATENT DEMAND BY YEAR IN THE UNITED STATES
2.3 TOP 100 CITIES IN THE UNITED STATES
3 FAR WEST
3.1 EXECUTIVE SUMMARY
3.2 LATENT DEMAND BY YEAR - ALASKA
3.3 CITIES SORTED BY ZIPCODE - ALASKA
3.4 LATENT DEMAND BY YEAR - CALIFORNIA
3.5 CITIES SORTED BY ZIPCODE - CALIFORNIA
3.6 LATENT DEMAND BY YEAR - HAWAII
3.7 CITIES SORTED BY ZIPCODE - HAWAII
3.8 LATENT DEMAND BY YEAR - NEVADA
3.9 CITIES SORTED BY ZIPCODE - NEVADA
3.10 LATENT DEMAND BY YEAR - OREGON
3.11 CITIES SORTED BY ZIPCODE - OREGON
3.12 LATENT DEMAND BY YEAR - WASHINGTON
3.13 CITIES SORTED BY ZIPCODE - WASHINGTON
4 GREAT LAKES
4.1 EXECUTIVE SUMMARY
4.2 LATENT DEMAND BY YEAR - ILLINOIS
4.3 CITIES SORTED BY ZIPCODE - ILLINOIS
4.4 LATENT DEMAND BY YEAR - INDIANA
4.5 CITIES SORTED BY ZIPCODE - INDIANA
4.6 LATENT DEMAND BY YEAR - MICHIGAN
4.7 CITIES SORTED BY ZIPCODE - MICHIGAN
4.8 LATENT DEMAND BY YEAR - OHIO
4.9 CITIES SORTED BY ZIPCODE - OHIO
4.10 LATENT DEMAND BY YEAR - WISCONSIN
4.11 CITIES SORTED BY ZIPCODE - WISCONSIN
5 MID-ATLANTIC
5.1 EXECUTIVE SUMMARY
5.2 LATENT DEMAND BY YEAR - DELAWARE
5.3 CITIES SORTED BY ZIPCODE - DELAWARE
5.4 LATENT DEMAND BY YEAR - DISTRICT OF COLUMBIA
5.5 CITIES SORTED BY ZIPCODE - DISTRICT OF COLUMBIA
5.6 LATENT DEMAND BY YEAR - MARYLAND
5.7 CITIES SORTED BY ZIPCODE - MARYLAND
5.8 LATENT DEMAND BY YEAR - NEW JERSEY
5.9 CITIES SORTED BY ZIPCODE - NEW JERSEY
5.10 LATENT DEMAND BY YEAR - NEW YORK
5.11 CITIES SORTED BY ZIPCODE - NEW YORK
5.12 LATENT DEMAND BY YEAR - PENNSYLVANIA
5.13 CITIES SORTED BY ZIPCODE - PENNSYLVANIA
6 NEW ENGLAND
6.1 EXECUTIVE SUMMARY
6.2 LATENT DEMAND BY YEAR - CONNECTICUT
6.3 CITIES SORTED BY ZIPCODE - CONNECTICUT
6.4 LATENT DEMAND BY YEAR - MAINE
6.5 CITIES SORTED BY ZIPCODE - MAINE
6.6 LATENT DEMAND BY YEAR - MASSACHUSETTS
6.7 CITIES SORTED BY ZIPCODE - MASSACHUSETTS
6.8 LATENT DEMAND BY YEAR - NEW HAMPSHIRE
6.9 CITIES SORTED BY ZIPCODE - NEW HAMPSHIRE
6.10 LATENT DEMAND BY YEAR - RHODE ISLAND
6.11 CITIES SORTED BY ZIPCODE - RHODE ISLAND
6.12 LATENT DEMAND BY YEAR - VERMONT
6.13 CITIES SORTED BY ZIPCODE - VERMONT
7 PLAINS
7.1 EXECUTIVE SUMMARY
7.2 LATENT DEMAND BY YEAR - IOWA
7.3 CITIES SORTED BY ZIPCODE - IOWA
7.4 LATENT DEMAND BY YEAR - KANSAS
7.5 CITIES SORTED BY ZIPCODE - KANSAS
7.6 LATENT DEMAND BY YEAR - MINNESOTA
7.7 CITIES SORTED BY ZIPCODE - MINNESOTA
7.8 LATENT DEMAND BY YEAR - MISSOURI
7.9 CITIES SORTED BY ZIPCODE - MISSOURI
7.10 LATENT DEMAND BY YEAR - NEBRASKA
7.11 CITIES SORTED BY ZIPCODE - NEBRASKA
7.12 LATENT DEMAND BY YEAR - NORTH DAKOTA
7.13 CITIES SORTED BY ZIPCODE - NORTH DAKOTA
7.14 LATENT DEMAND BY YEAR - SOUTH DAKOTA
7.15 CITIES SORTED BY ZIPCODE - SOUTH DAKOTA
8 ROCKIES
8.1 EXECUTIVE SUMMARY
8.2 LATENT DEMAND BY YEAR - COLORADO
8.3 CITIES SORTED BY ZIPCODE - COLORADO
8.4 LATENT DEMAND BY YEAR - IDAHO
8.5 CITIES SORTED BY ZIPCODE - IDAHO
8.6 LATENT DEMAND BY YEAR - MONTANA
8.7 CITIES SORTED BY ZIPCODE - MONTANA
8.8 LATENT DEMAND BY YEAR - UTAH
8.9 CITIES SORTED BY ZIPCODE - UTAH
8.10 LATENT DEMAND BY YEAR - WYOMING
8.11 CITIES SORTED BY ZIPCODE - WYOMING
9 SOUTHEAST
9.1 EXECUTIVE SUMMARY
9.2 LATENT DEMAND BY YEAR - ALABAMA
9.3 CITIES SORTED BY ZIPCODE - ALABAMA
9.4 LATENT DEMAND BY YEAR - ARKANSAS
9.5 CITIES SORTED BY ZIPCODE - ARKANSAS
9.6 LATENT DEMAND BY YEAR - FLORIDA
9.7 CITIES SORTED BY ZIPCODE - FLORIDA
9.8 LATENT DEMAND BY YEAR - GEORGIA
9.9 CITIES SORTED BY ZIPCODE - GEORGIA
9.10 LATENT DEMAND BY YEAR - KENTUCKY
9.11 CITIES SORTED BY ZIPCODE - KENTUCKY
9.12 LATENT DEMAND BY YEAR - LOUISIANA
9.13 CITIES SORTED BY ZIPCODE - LOUISIANA
9.14 LATENT DEMAND BY YEAR - MISSISSIPPI
9.15 CITIES SORTED BY ZIPCODE - MISSISSIPPI
9.16 LATENT DEMAND BY YEAR - NORTH CAROLINA
9.17 CITIES SORTED BY ZIPCODE - NORTH CAROLINA
9.18 LATENT DEMAND BY YEAR - SOUTH CAROLINA
9.19 CITIES SORTED BY ZIPCODE - SOUTH CAROLINA
9.20 LATENT DEMAND BY YEAR - TENNESSEE
9.21 CITIES SORTED BY ZIPCODE - TENNESSEE
9.22 LATENT DEMAND BY YEAR - VIRGINIA
9.23 CITIES SORTED BY ZIPCODE - VIRGINIA
9.24 LATENT DEMAND BY YEAR - WEST VIRGINIA
9.25 CITIES SORTED BY ZIPCODE - WEST VIRGINIA
10 SOUTHWEST
10.1 EXECUTIVE SUMMARY
10.2 LATENT DEMAND BY YEAR - ARIZONA
10.3 CITIES SORTED BY ZIPCODE - ARIZONA
10.4 LATENT DEMAND BY YEAR - NEW MEXICO
10.5 CITIES SORTED BY ZIPCODE - NEW MEXICO
10.6 LATENT DEMAND BY YEAR - OKLAHOMA
10.7 CITIES SORTED BY ZIPCODE - OKLAHOMA
10.8 LATENT DEMAND BY YEAR - TEXAS
10.9 CITIES SORTED BY ZIPCODE - TEXAS
11 DISCLAIMERS, WARRANTIES, AND USER AGREEMENT PROVISIONS
11.1 DISCLAIMERS & SAFE HARBOR
11.2 ICON GROUP INTERNATIONAL, INC. USER AGREEMENT PROVISIONS
