Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Crawford County, MI
Series ID MHICIUBMI26039A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:52 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 22197
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25985
1994-01-01 .
1995-01-01 30974
1996-01-01 .
1997-01-01 32679
1998-01-01 33375
1999-01-01 34211
2000-01-01 36685
2001-01-01 35396
2002-01-01 34929
2003-01-01 34979
2004-01-01 36374
2005-01-01 36981
2006-01-01 38960
2007-01-01 39172
2008-01-01 40196
2009-01-01 39288
2010-01-01 41133
2011-01-01 40919
2012-01-01 40310
2013-01-01 40642
2014-01-01 44550
2015-01-01 44009
2016-01-01 42989
2017-01-01 49926
2018-01-01 51035
2019-01-01 53610
2020-01-01 56788
2021-01-01 55786
2022-01-01 62874

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