Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Grant County, ND

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Grant County, ND
Series ID MHICILBND38037A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2024-01-01
Last Updated 2026-02-09 7:08 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 13490
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17221
1994-01-01 .
1995-01-01 15840
1996-01-01 .
1997-01-01 16791
1998-01-01 18119
1999-01-01 21640
2000-01-01 23215
2001-01-01 23528
2002-01-01 22295
2003-01-01 24780
2004-01-01 25103
2005-01-01 25188
2006-01-01 27006
2007-01-01 27975
2008-01-01 32108
2009-01-01 27697
2010-01-01 30797
2011-01-01 32450
2012-01-01 35022
2013-01-01 43039
2014-01-01 36029
2015-01-01 36679
2016-01-01 35743
2017-01-01 45182
2018-01-01 37075
2019-01-01 36954
2020-01-01 42166
2021-01-01 43605
2022-01-01 38493
2023-01-01 45234
2024-01-01 46144

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