Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Tuscola County, MI
Series ID MHICILBMI26157A052NCEN
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 1:11 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 24745
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28763
1994-01-01 .
1995-01-01 31909
1996-01-01 .
1997-01-01 33472
1998-01-01 34624
1999-01-01 36402
2000-01-01 37969
2001-01-01 36692
2002-01-01 36531
2003-01-01 37361
2004-01-01 38350
2005-01-01 40569
2006-01-01 38922
2007-01-01 40591
2008-01-01 40545
2009-01-01 37092
2010-01-01 38458
2011-01-01 40572
2012-01-01 40012
2013-01-01 39599
2014-01-01 40363
2015-01-01 43072
2016-01-01 43684
2017-01-01 44467
2018-01-01 48649
2019-01-01 49659
2020-01-01 47169
2021-01-01 49574
2022-01-01 57895

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