Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Calhoun County, MI
Series ID MHICILBMI26025A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:33 AM 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 25370
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29216
1994-01-01 .
1995-01-01 33240
1996-01-01 .
1997-01-01 34349
1998-01-01 35118
1999-01-01 35793
2000-01-01 37190
2001-01-01 36168
2002-01-01 36419
2003-01-01 36856
2004-01-01 37738
2005-01-01 38736
2006-01-01 40643
2007-01-01 39867
2008-01-01 40099
2009-01-01 37446
2010-01-01 40411
2011-01-01 37541
2012-01-01 38033
2013-01-01 41640
2014-01-01 43791
2015-01-01 41369
2016-01-01 43839
2017-01-01 43821
2018-01-01 45124
2019-01-01 46811
2020-01-01 48270
2021-01-01 51476
2022-01-01 56557
2023-01-01 54512

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