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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Crawford County, MI
Series ID MHICILBMI26039A052NCEN
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 7:09 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 17649
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21428
1994-01-01 .
1995-01-01 24818
1996-01-01 .
1997-01-01 26478
1998-01-01 27273
1999-01-01 29980
2000-01-01 31592
2001-01-01 30876
2002-01-01 30449
2003-01-01 30824
2004-01-01 32061
2005-01-01 31475
2006-01-01 34449
2007-01-01 32785
2008-01-01 34596
2009-01-01 32445
2010-01-01 36189
2011-01-01 34829
2012-01-01 34028
2013-01-01 34612
2014-01-01 37652
2015-01-01 37805
2016-01-01 35427
2017-01-01 44210
2018-01-01 42825
2019-01-01 44618
2020-01-01 42462
2021-01-01 44948
2022-01-01 52326
2023-01-01 54786
2024-01-01 51591

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