.tb-container .tb-container-inner{width:100%;margin:0 auto} .wp-block-toolset-blocks-container.tb-container[data-toolset-blocks-container="b1f9aa973d3d82ce7f31eb393f7dbeaa"] { padding: 25px 15% 25px 10%; } .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wpv-view-output[data-toolset-views-view-editor="ea2f4f58762e1e2ab75c472323b7d44c"] > .tb-grid-column:nth-of-type(3n + 1) { grid-column: 1 } .wpv-view-output[data-toolset-views-view-editor="ea2f4f58762e1e2ab75c472323b7d44c"] > .tb-grid-column:nth-of-type(3n + 2) { grid-column: 2 } .wpv-view-output[data-toolset-views-view-editor="ea2f4f58762e1e2ab75c472323b7d44c"] > .tb-grid-column:nth-of-type(3n + 3) { grid-column: 3 } .wpv-view-output[data-toolset-views-view-editor="ea2f4f58762e1e2ab75c472323b7d44c"] .js-wpv-loop-wrapper > .tb-grid { grid-template-columns: minmax(0, 0.3333fr) minmax(0, 0.3333fr) minmax(0, 0.3333fr);grid-auto-flow: row } .wpv-pagination-nav-links[data-toolset-views-view-pagination-block="8bdb78819481bf533e780b9c5d859057"] { text-align: left;justify-content: flex-start; } .wpv-block-loop-item[data-toolset-views-view-template-block="f5892b31d2df633c228ddcae32317031"] { margin-bottom: 10px; } .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="8fefe44b785313878017165815738677"] { padding: 0px 0px 0px 15px;margin: 0px;grid-template-columns: minmax(0, 0.6fr) minmax(0, 0.4fr);grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="8fefe44b785313878017165815738677"] > .tb-grid-column:nth-of-type(2n + 1) { grid-column: 1 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="8fefe44b785313878017165815738677"] > .tb-grid-column:nth-of-type(2n + 2) { grid-column: 2 } .wp-block-toolset-blocks-grid-column.tb-grid-column[data-toolset-blocks-grid-column="3034fbe886c11054e95b46b09d3e4112"] { display: flex; } .tb-fields-and-text[data-toolset-blocks-fields-and-text="33a2aef42d823f8eae97b7cc27755424"] { font-size: 16px; } .tb-fields-and-text[data-toolset-blocks-fields-and-text="33a2aef42d823f8eae97b7cc27755424"] p { font-size: 16px; } .tb-fields-and-text[data-toolset-blocks-fields-and-text="4b580cc7c7816a512deb848c3f89825b"] { font-size: 30px; } .tb-fields-and-text[data-toolset-blocks-fields-and-text="4b580cc7c7816a512deb848c3f89825b"] p { font-size: 30px; } .tb-fields-and-text[data-toolset-blocks-fields-and-text="1a72a82680f6b9936daf6a35d2250e9e"] { margin-top: 15px;margin-right: 50px;margin-left: 50px; } @media only screen and (max-width: 781px) { .tb-container .tb-container-inner{width:100%;margin:0 auto}.tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wpv-view-output[data-toolset-views-view-editor="ea2f4f58762e1e2ab75c472323b7d44c"] > .tb-grid-column:nth-of-type(3n + 1) { grid-column: 1 } .wpv-view-output[data-toolset-views-view-editor="ea2f4f58762e1e2ab75c472323b7d44c"] > .tb-grid-column:nth-of-type(3n + 2) { grid-column: 2 } .wpv-view-output[data-toolset-views-view-editor="ea2f4f58762e1e2ab75c472323b7d44c"] > .tb-grid-column:nth-of-type(3n + 3) { grid-column: 3 } .wpv-view-output[data-toolset-views-view-editor="ea2f4f58762e1e2ab75c472323b7d44c"] .js-wpv-loop-wrapper > .tb-grid { grid-template-columns: minmax(0, 0.3333fr) minmax(0, 0.3333fr) minmax(0, 0.3333fr);grid-auto-flow: row } .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="8fefe44b785313878017165815738677"] { grid-template-columns: minmax(0, 0.5fr) minmax(0, 0.5fr);grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="8fefe44b785313878017165815738677"] > .tb-grid-column:nth-of-type(2n + 1) { grid-column: 1 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="8fefe44b785313878017165815738677"] > .tb-grid-column:nth-of-type(2n + 2) { grid-column: 2 } .wp-block-toolset-blocks-grid-column.tb-grid-column[data-toolset-blocks-grid-column="3034fbe886c11054e95b46b09d3e4112"] { display: flex; }  } @media only screen and (max-width: 599px) { .tb-container .tb-container-inner{width:100%;margin:0 auto}.tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wpv-view-output[data-toolset-views-view-editor="ea2f4f58762e1e2ab75c472323b7d44c"]  > .tb-grid-column:nth-of-type(1n+1) { grid-column: 1 } .wpv-view-output[data-toolset-views-view-editor="ea2f4f58762e1e2ab75c472323b7d44c"] .js-wpv-loop-wrapper > .tb-grid { grid-template-columns: minmax(0, 1fr);grid-auto-flow: row } .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="8fefe44b785313878017165815738677"] { grid-template-columns: minmax(0, 1fr);grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="8fefe44b785313878017165815738677"]  > .tb-grid-column:nth-of-type(1n+1) { grid-column: 1 } .wp-block-toolset-blocks-grid-column.tb-grid-column[data-toolset-blocks-grid-column="3034fbe886c11054e95b46b09d3e4112"] { display: flex; }  } 
Best places to live rankings for Texas are based on livability scores that range from 0 to 100. These scores are derived from the city’s economics, job opportunity, diversity, wealth inequality, cost of living, education and crime data from the U.S. Census, FBI and other sources including City Stats own gathered data. There is also a happiness rating we use that comes from a machine learning algorithm that was developed to determine how happy people in each city this is also a weighted factor in the our goal to find the best places in America.
City | Population 30840
Livability
71
City | Population 24842
Livability
71
City | Population 19103
Livability
71
City | Population 17378
Livability
71
City | Population 14799
Livability
71
City | Population 11705
Livability
71
City | Population 11494
Livability
71
City | Population 8895
Livability
71
City | Population 8595
Livability
71
City | Population 7586
Livability
71
City | Population 6382
Livability
71
City | Population 5556
Livability
71
City | Population 3350
Livability
71
City | Population 2289
Livability
71
City | Population 198773
Livability
70
City | Population 118582
Livability
70
City | Population 37277
Livability
70
City | Population 26037
Livability
70
City | Population 18094
Livability
70
City | Population 12856
Livability
70
City | Population 11157
Livability
70
City | Population 8113
Livability
70
City | Population 8014
Livability
70
City | Population 7998
Livability
70
City | Population 7397
Livability
70