.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 North Dakota 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 134
Livability
83
City | Population 120
Livability
83
City | Population 116
Livability
83
City | Population 94
Livability
83
City | Population 79
Livability
83
City | Population 64
Livability
83
City | Population 59
Livability
83
City | Population 57
Livability
83
City | Population 36
Livability
83
City | Population 30
Livability
83
City | Population 2199
Livability
82
City | Population 1610
Livability
82
City | Population 1489
Livability
82
City | Population 1461
Livability
82
City | Population 1292
Livability
82
City | Population 1035
Livability
82
City | Population 992
Livability
82
City | Population 922
Livability
82
City | Population 868
Livability
82
City | Population 846
Livability
82
City | Population 762
Livability
82
City | Population 736
Livability
82
City | Population 702
Livability
82
City | Population 643
Livability
82
City | Population 637
Livability
82