05-27-2019, 09:57 PM
Location: Dallas suburbs
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I'm a longtime lurker, first-time poster to this board and I've yet to see this topic considered:
Dallas has been surrounded on all sides by very strong suburban townships with large populations for over half a century (Irving, Garland etc), whereas Houston apparently has so much ETJ (extraterritorial jurisdiction) that it could freely absorb land and population against the will of residents whenever fit (Clear Lake, Kingwood etc).
My assumption is an anti-government sentiment in South Texas that may have resisted incorporation despite the lack of services vs a strong "King of the Hill" territorialism that may have prevailed in North Texas where the entrepreneurial spirit may have caused every town to want to compete with the Dallas to become the county seat.
I've mused over the differences all my life, but I know some enlightened posters on this thread can help me understand.
05-28-2019, 11:43 AM
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Quote:
Originally Posted by
FreeVilley
I'm a longtime lurker, first-time poster to this board and I've yet to see this topic considered:
Dallas has been surrounded on all sides by very strong suburban townships with large populations for over half a century (Irving, Garland etc), whereas Houston apparently has so much ETJ (extraterritorial jurisdiction) that it could freely absorb land and population against the will of residents whenever fit (Clear Lake, Kingwood etc).
My assumption is an anti-government sentiment in South Texas that may have resisted incorporation despite the lack of services vs a strong "King of the Hill" territorialism that may have prevailed in North Texas where the entrepreneurial spirit may have caused every town to want to compete with the Dallas to become the county seat.
I've mused over the differences all my life, but I know some enlightened posters on this thread can help me understand.
Interesting topic and one I've wondered about as well. My hypothesis for why they turned out this way (with very little proof either way) revolves around two primary factors. The first is that before the 1950s, Dallas was generally a more mature city than Houston was and its taxable commercial property was generally closer to the core of the city. Houston before the suburban age was more of a collection of self-contained villages spread throughout the area of what is now the city and I believe a lot of the highly taxable industrial properties (think refineries, factories, etc.) were closer to the edge of the metro area, as remains the case today to some extent. Houston had a need to tax those areas, so it annexed them to capture that, which led to a more spread out city and less early suburbs.
I think the second factor was directly related to the first and took place after the growth of suburbs in the 50s, primarily in the 60s and 70s. Since Dallas had not annexed as much as Houston did earlier in the 20th century, it quickly was surrounded by fast-growing suburbs. I think Houston continued to make huge annexations in the 60s, 70s, and 80s to avoid what it saw happening to Dallas and to continue to grow its tax base, considering large parts of the city remained undeveloped back then and could easily be skipped over (thus depriving the city of income) if large suburbs began incorporating en masse.
I think Houston felt it had to do what it did to capture regional growth back then, considering it was a far less established and important city until the 70s or so. While I think the area would probably be governed a bit better if the city was smaller and other cities had been allowed to grow, it would also be developed in a more suburban fashion, similar to how DFW is developed today. Pluses and minuses to both models, but interesting how they both diverged so much back then and it basically remains that way today.
Just a guess though, I'd be happy to hear others perspectives on this.
Last edited by Mr. Clutch; 05-28-2019 at 11:53 AM ..
05-28-2019, 05:43 PM
Location: plano
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I think you are over complicating this question it is luck or random factors over history Ive experienced over my 70 years. Back in the 1950s Carrolton, McKinney, Irving, Arlington, Frisco, etc were incorporated and few realistically expected those cities which had undeveloped land between them and Dallas to be connected by the incredible growth the area has seen. When I moved to Houston in 1970 the area had incorporated towns other than Baytown, Conroe, Missouri City and Sugarland, Humble, Friendswood etc. Developers bought up the massive land masses and built planned developments without incorporating. They bought land in small suburban school districts that they could change for the better demographically with a rapid growing community. Had their been towns incorporated there like Dallas had decades earlier, it would not have had the large tax base that was not in a city already so houston gobbled them up, though the trend stopped with Kingwood when Woodlands cut a deal to not become part of Houston city.
I think the growth both DFW and Houston metros have seen would surprise even the most visionary, area booster from back in those days.
I will concede an anti zoning biase in the developer ranks would have opposed Houston annexation of their communities earlier if Houston had strong zoning. So OP"s theory has a role in all this too just not the largest in my view
05-28-2019, 08:38 PM
Location: Dallas suburbs
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Quote:
Originally Posted by
Johnhw2
I think you are over complicating this question it is luck or random factors over history Ive experienced over my 70 years. Back in the 1950s Carrolton, McKinney, Irving, Arlington, Frisco, etc were incorporated and few realistically expected those cities which had undeveloped land between them and Dallas to be connected by the incredible growth the area has seen. When I moved to Houston in 1970 the area had incorporated towns other than Baytown, Conroe, Missouri City and Sugarland, Humble, Friendswood etc. Developers bought up the massive land masses and built planned developments without incorporating. They bought land in small suburban school districts that they could change for the better demographically with a rapid growing community. Had their been towns incorporated there like Dallas had decades earlier, it would not have had the large tax base that was not in a city already so houston gobbled them up, though the trend stopped with Kingwood when Woodlands cut a deal to not become part of Houston city.
I think the growth both DFW and Houston metros have seen would surprise even the most visionary, area booster from back in those days.
I will concede an anti zoning biase in the developer ranks would have opposed Houston annexation of their communities earlier if Houston had strong zoning. So OP"s theory has a role in all this too just not the largest in my view
I would like to think having a strong core city would lead to efficiency in planning for an area, however, my impression of the Metroplex is that the competition among cities results in superior output.
05-28-2019, 11:27 PM
Location: C.R. K-T
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Quote:
Originally Posted by
FreeVilley
I would like to think having a strong core city would lead to efficiency in planning for an area, however, my impression of the Metroplex is that the competition among cities results in superior output.
Actually your business centres are spread too far apart. Galleria, Greenway, and Medical Center are within 10 km radius of Downtown Houston. Fort Worth and Dallas are 50 km apart and the secondary business districts are along DNT to Frisco and the north loop of I-635. Arlington plays a factor also. Southlake to Stonebriar must be a hellish commute comparable going through the Westside of L.A. during rush hour.
Personally, I would prefer to eliminate the bigger secondary business districts and consolidate them into Downtown Houston to build a skyline and a bustling city core rivaling Chicago.
05-29-2019, 05:56 AM
Location: plano
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I think having differences in cities planning approaches is healthy. Houston's no zoning or zoning uber lite allows down troden areas to evolve faster as their location advantage soars. We can lean from all cities, no one size fits all and all shoud be of that model. Man is just not smart enough to model the perfect solution as market conditions and varying market demands change over time.
05-29-2019, 07:52 PM
Location: Dallas suburbs
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Quote:
Originally Posted by
KerrTown
Actually your business centres are spread too far apart. Galleria, Greenway, and Medical Center are within 10 km radius of Downtown Houston. Fort Worth and Dallas are 50 km apart and the secondary business districts are along DNT to Frisco and the north loop of I-635. Arlington plays a factor also. Southlake to Stonebriar must be a hellish commute comparable going through the Westside of L.A. during rush hour.
Personally, I would prefer to eliminate the bigger secondary business districts and consolidate them into Downtown Houston to build a skyline and a bustling city core rivaling Chicago.
I love a nice vibrant downtown and beautiful skyline. But having multiple business districts spread apart works because you can live in the burbs, but be 10 minutes away from multiple employers. For example, Las Colinas/Irving is a hotbed of mortgage companies. Richardson has a lot of Insurance companies. If I am a mortgage prof, i can buy a house in NW and even if i ever change jobs, my commute wont change much.
So there are two sides to decentralization.
05-29-2019, 07:54 PM
Location: Dallas suburbs
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Quote:
Originally Posted by
Johnhw2
I think having differences in cities planning approaches is healthy. Houston's no zoning or zoning uber lite allows down troden areas to evolve faster as their location advantage soars. We can lean from all cities, no one size fits all and all shoud be of that model. Man is just not smart enough to model the perfect solution as market conditions and varying market demands change over time.
Agreed.
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Occupied housing units (%)
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Urban houses (%)
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Mortgage status - with mortgage (%)
Mortgage status - with second mortgage (%)
Mortgage status - with home equity loan (%)
Mortgage status - with both second mortgage and home equity loan (%)
Mortgage status - without a mortgage (%)
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Geographical mobility - Same house 1 year ago (%)
Geographical mobility - Moved within same county (%)
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Place of birth - Born in state of residence (%)
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Housing units in structures - 1, detached (%)
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Housing units in structures - 50 or more (%)
Housing units in structures - Mobile home (%)
Housing units in structures - Boat, RV, van, etc. (%)
House/condo owner moved in on average (years ago)
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Year householder moved into unit - Moved in 1999 to March 2000 (%)
Year householder moved into unit - Moved in 1995 to 1998 (%)
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Year householder moved into unit - Moved in 1969 or earlier (%)
Means of transportation to work - Drove car alone (%)
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Working at home (%)
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Occupation diversity
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People in Group quarters - Institutions for the deaf (%)
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People in Group quarters - Orthopedic wards and institutions for the physically handicapped (%)
People in Group quarters - Wards in general hospitals for patients who have no usual home elsewhere (%)
People in Group quarters - Wards in military hospitals for patients who have no usual home elsewhere (%)
People in Group quarters - Juvenile institutions (%)
People in Group quarters - Long-term care (%)
People in Group quarters - Homes for abused, dependent, and neglected children (%)
People in Group quarters - Residential treatment centers for emotionally disturbed children (%)
People in Group quarters - Training schools for juvenile delinquents (%)
People in Group quarters - Short-term care, detention or diagnostic centers for delinquent children (%)
People in Group quarters - Type of juvenile institution unknown (%)
People in Group quarters - Noninstitutionalized population (%)
People in Group quarters - College dormitories (includes college quarters off campus) (%)
People in Group quarters - Military quarters (%)
People in Group quarters - On base (%)
People in Group quarters - Barracks, unaccompanied personnel housing (UPH), (Enlisted/Officer), ;and similar group living quarters for military personnel (%)
People in Group quarters - Transient quarters for temporary residents (%)
People in Group quarters - Military ships (%)
People in Group quarters - Group homes (%)
People in Group quarters - Homes or halfway houses for drug/alcohol abuse (%)
People in Group quarters - Homes for the mentally ill (%)
People in Group quarters - Homes for the mentally retarded (%)
People in Group quarters - Homes for the physically handicapped (%)
People in Group quarters - Other group homes (%)
People in Group quarters - Religious group quarters (%)
People in Group quarters - Dormitories (%)
People in Group quarters - Agriculture workers' dormitories on farms (%)
People in Group quarters - Job Corps and vocational training facilities (%)
People in Group quarters - Other workers' dormitories (%)
People in Group quarters - Crews of maritime vessels (%)
People in Group quarters - Other nonhousehold living situations (%)
People in Group quarters - Other noninstitutional group quarters (%)
Residents speaking English at home (%)
Residents speaking English at home - Born in the United States (%)
Residents speaking English at home - Native, born elsewhere (%)
Residents speaking English at home - Foreign born (%)
Residents speaking Spanish at home (%)
Residents speaking Spanish at home - Born in the United States (%)
Residents speaking Spanish at home - Native, born elsewhere (%)
Residents speaking Spanish at home - Foreign born (%)
Residents speaking other language at home (%)
Residents speaking other language at home - Born in the United States (%)
Residents speaking other language at home - Native, born elsewhere (%)
Residents speaking other language at home - Foreign born (%)
Class of Workers - Employee of private company (%)
Class of Workers - Self-employed in own incorporated business (%)
Class of Workers - Private not-for-profit wage and salary workers (%)
Class of Workers - Local government workers (%)
Class of Workers - State government workers (%)
Class of Workers - Federal government workers (%)
Class of Workers - Self-employed workers in own not incorporated business and Unpaid family workers (%)
House heating fuel used in houses and condos - Utility gas (%)
House heating fuel used in houses and condos - Bottled, tank, or LP gas (%)
House heating fuel used in houses and condos - Electricity (%)
House heating fuel used in houses and condos - Fuel oil, kerosene, etc. (%)
House heating fuel used in houses and condos - Coal or coke (%)
House heating fuel used in houses and condos - Wood (%)
House heating fuel used in houses and condos - Solar energy (%)
House heating fuel used in houses and condos - Other fuel (%)
House heating fuel used in houses and condos - No fuel used (%)
House heating fuel used in apartments - Utility gas (%)
House heating fuel used in apartments - Bottled, tank, or LP gas (%)
House heating fuel used in apartments - Electricity (%)
House heating fuel used in apartments - Fuel oil, kerosene, etc. (%)
House heating fuel used in apartments - Coal or coke (%)
House heating fuel used in apartments - Wood (%)
House heating fuel used in apartments - Solar energy (%)
House heating fuel used in apartments - Other fuel (%)
House heating fuel used in apartments - No fuel used (%)
Armed forces status - In Armed Forces (%)
Armed forces status - Civilian (%)
Armed forces status - Civilian - Veteran (%)
Armed forces status - Civilian - Nonveteran (%)
Fatal accidents locations in years 2005-2021
Fatal accidents locations in 2005
Fatal accidents locations in 2006
Fatal accidents locations in 2007
Fatal accidents locations in 2008
Fatal accidents locations in 2009
Fatal accidents locations in 2010
Fatal accidents locations in 2011
Fatal accidents locations in 2012
Fatal accidents locations in 2013
Fatal accidents locations in 2014
Fatal accidents locations in 2015
Fatal accidents locations in 2016
Fatal accidents locations in 2017
Fatal accidents locations in 2018
Fatal accidents locations in 2019
Fatal accidents locations in 2020
Fatal accidents locations in 2021
Alcohol use - People drinking some alcohol every month (%)
Alcohol use - People not drinking at all (%)
Alcohol use - Average days/month drinking alcohol
Alcohol use - Average drinks/week
Alcohol use - Average days/year people drink much
Audiometry - Average condition of hearing (%)
Audiometry - People that can hear a whisper from across a quiet room (%)
Audiometry - People that can hear normal voice from across a quiet room (%)
Audiometry - Ears ringing, roaring, buzzing (%)
Audiometry - Had a job exposure to loud noise (%)
Audiometry - Had off-work exposure to loud noise (%)
Blood Pressure & Cholesterol - Has high blood pressure (%)
Blood Pressure & Cholesterol - Checking blood pressure at home (%)
Blood Pressure & Cholesterol - Frequently checking blood cholesterol (%)
Blood Pressure & Cholesterol - Has high cholesterol level (%)
Consumer Behavior - Money monthly spent on food at supermarket/grocery store
Consumer Behavior - Money monthly spent on food at other stores
Consumer Behavior - Money monthly spent on eating out
Consumer Behavior - Money monthly spent on carryout/delivered foods
Consumer Behavior - Income spent on food at supermarket/grocery store (%)
Consumer Behavior - Income spent on food at other stores (%)
Consumer Behavior - Income spent on eating out (%)
Consumer Behavior - Income spent on carryout/delivered foods (%)
Current Health Status - General health condition (%)
Current Health Status - Blood donors (%)
Current Health Status - Has blood ever tested for HIV virus (%)
Current Health Status - Left-handed people (%)
Dermatology - People using sunscreen (%)
Diabetes - Diabetics (%)
Diabetes - Had a blood test for high blood sugar (%)
Diabetes - People taking insulin (%)
Diet Behavior & Nutrition - Diet health (%)
Diet Behavior & Nutrition - Milk product consumption (# of products/month)
Diet Behavior & Nutrition - Meals not home prepared (#/week)
Diet Behavior & Nutrition - Meals from fast food or pizza place (#/week)
Diet Behavior & Nutrition - Ready-to-eat foods (#/month)
Diet Behavior & Nutrition - Frozen meals/pizza (#/month)
Drug Use - People that ever used marijuana or hashish (%)
Drug Use - Ever used hard drugs (%)
Drug Use - Ever used any form of cocaine (%)
Drug Use - Ever used heroin (%)
Drug Use - Ever used methamphetamine (%)
Health Insurance - People covered by health insurance (%)
Kidney Conditions-Urology - Avg. # of times urinating at night
Medical Conditions - People with asthma (%)
Medical Conditions - People with anemia (%)
Medical Conditions - People with psoriasis (%)
Medical Conditions - People with overweight (%)
Medical Conditions - Elderly people having difficulties in thinking or remembering (%)
Medical Conditions - People who ever received blood transfusion (%)
Medical Conditions - People having trouble seeing even with glass/contacts (%)
Medical Conditions - People with arthritis (%)
Medical Conditions - People with gout (%)
Medical Conditions - People with congestive heart failure (%)
Medical Conditions - People with coronary heart disease (%)
Medical Conditions - People with angina pectoris (%)
Medical Conditions - People who ever had heart attack (%)
Medical Conditions - People who ever had stroke (%)
Medical Conditions - People with emphysema (%)
Medical Conditions - People with thyroid problem (%)
Medical Conditions - People with chronic bronchitis (%)
Medical Conditions - People with any liver condition (%)
Medical Conditions - People who ever had cancer or malignancy (%)
Mental Health - People who have little interest in doing things (%)
Mental Health - People feeling down, depressed, or hopeless (%)
Mental Health - People who have trouble sleeping or sleeping too much (%)
Mental Health - People feeling tired or having little energy (%)
Mental Health - People with poor appetite or overeating (%)
Mental Health - People feeling bad about themself (%)
Mental Health - People who have trouble concentrating on things (%)
Mental Health - People moving or speaking slowly or too fast (%)
Mental Health - People having thoughts they would be better off dead (%)
Oral Health - Average years since last visit a dentist
Oral Health - People embarrassed because of mouth (%)
Oral Health - People with gum disease (%)
Oral Health - General health of teeth and gums (%)
Oral Health - Average days a week using dental floss/device
Oral Health - Average days a week using mouthwash for dental problem
Oral Health - Average number of teeth
Pesticide Use - Households using pesticides to control insects (%)
Pesticide Use - Households using pesticides to kill weeds (%)
Physical Activity - People doing vigorous-intensity work activities (%)
Physical Activity - People doing moderate-intensity work activities (%)
Physical Activity - People walking or bicycling (%)
Physical Activity - People doing vigorous-intensity recreational activities (%)
Physical Activity - People doing moderate-intensity recreational activities (%)
Physical Activity - Average hours a day doing sedentary activities
Physical Activity - Average hours a day watching TV or videos
Physical Activity - Average hours a day using computer
Physical Functioning - People having limitations keeping them from working (%)
Physical Functioning - People limited in amount of work they can do (%)
Physical Functioning - People that need special equipment to walk (%)
Physical Functioning - People experiencing confusion/memory problems (%)
Physical Functioning - People requiring special healthcare equipment (%)
Prescription Medications - Average number of prescription medicines taking
Preventive Aspirin Use - Adults 40+ taking low-dose aspirin (%)
Reproductive Health - Vaginal deliveries (%)
Reproductive Health - Cesarean deliveries (%)
Reproductive Health - Deliveries resulted in a live birth (%)
Reproductive Health - Pregnancies resulted in a delivery (%)
Reproductive Health - Women breastfeeding newborns (%)
Reproductive Health - Women that had a hysterectomy (%)
Reproductive Health - Women that had both ovaries removed (%)
Reproductive Health - Women that have ever taken birth control pills (%)
Reproductive Health - Women taking birth control pills (%)
Reproductive Health - Women that have ever used Depo-Provera or injectables (%)
Reproductive Health - Women that have ever used female hormones (%)
Sexual Behavior - People 18+ that ever had sex (vaginal, anal, or oral) (%)
Sexual Behavior - Males 18+ that ever had vaginal sex with a woman (%)
Sexual Behavior - Males 18+ that ever performed oral sex on a woman (%)
Sexual Behavior - Males 18+ that ever had anal sex with a woman (%)
Sexual Behavior - Males 18+ that ever had any sex with a man (%)
Sexual Behavior - Females 18+ that ever had vaginal sex with a man (%)
Sexual Behavior - Females 18+ that ever performed oral sex on a man (%)
Sexual Behavior - Females 18+ that ever had anal sex with a man (%)
Sexual Behavior - Females 18+ that ever had any kind of sex with a woman (%)
Sexual Behavior - Average age people first had sex
Sexual Behavior - Average number of female sex partners in lifetime (males 18+)
Sexual Behavior - Average number of female vaginal sex partners in lifetime (males 18+)
Sexual Behavior - Average age people first performed oral sex on a woman (18+)
Sexual Behavior - Average number of woman performed oral sex on in lifetime (18+)
Sexual Behavior - Average number of male sex partners in lifetime (males 18+)
Sexual Behavior - Average number of male anal sex partners in lifetime (males 18+)
Sexual Behavior - Average age people first performed oral sex on a man (18+)
Sexual Behavior - Average number of male oral sex partners in lifetime (18+)
Sexual Behavior - People using protection when performing oral sex (%)
Sexual Behavior - Average number of times people have vaginal or anal sex a year
Sexual Behavior - People having sex without condom (%)
Sexual Behavior - Average number of male sex partners in lifetime (females 18+)
Sexual Behavior - Average number of male vaginal sex partners in lifetime (females 18+)
Sexual Behavior - Average number of female sex partners in lifetime (females 18+)
Sexual Behavior - Circumcised males 18+ (%)
Sleep Disorders - Average hours sleeping at night
Sleep Disorders - People that has trouble sleeping (%)
Smoking-Cigarette Use - People smoking cigarettes (%)
Taste & Smell - People 40+ having problems with smell (%)
Taste & Smell - People 40+ having problems with taste (%)
Taste & Smell - People 40+ that ever had wisdom teeth removed (%)
Taste & Smell - People 40+ that ever had tonsils teeth removed (%)
Taste & Smell - People 40+ that ever had a loss of consciousness because of a head injury (%)
Taste & Smell - People 40+ that ever had a broken nose or other serious injury to face or skull (%)
Taste & Smell - People 40+ that ever had two or more sinus infections (%)
Weight - Average height (inches)
Weight - Average weight (pounds)
Weight - Average BMI
Weight - People that are obese (%)
Weight - People that ever were obese (%)
Weight - People trying to lose weight (%)