.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 Pennsylvania 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 836
Livability
84
City | Population 824
Livability
84
City | Population 802
Livability
84
City | Population 795
Livability
84
City | Population 788
Livability
84
City | Population 766
Livability
84
City | Population 762
Livability
84
City | Population 750
Livability
84
City | Population 731
Livability
84
City | Population 731
Livability
84
City | Population 711
Livability
84
City | Population 672
Livability
84
City | Population 666
Livability
84
City | Population 657
Livability
84
City | Population 640
Livability
84
City | Population 591
Livability
84
City | Population 587
Livability
84
City | Population 583
Livability
84
City | Population 567
Livability
84
City | Population 564
Livability
84
City | Population 563
Livability
84
City | Population 562
Livability
84
City | Population 548
Livability
84
City | Population 542
Livability
84
City | Population 503
Livability
84