Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mecosta County, MI
Series ID MHICIUBMI26107A052NCEN
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 2:31 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 24964
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27816
1994-01-01 .
1995-01-01 31868
1996-01-01 .
1997-01-01 34095
1998-01-01 35786
1999-01-01 35421
2000-01-01 37072
2001-01-01 35812
2002-01-01 36064
2003-01-01 37077
2004-01-01 38114
2005-01-01 38701
2006-01-01 38672
2007-01-01 39366
2008-01-01 41110
2009-01-01 40933
2010-01-01 38643
2011-01-01 41238
2012-01-01 41935
2013-01-01 42972
2014-01-01 44531
2015-01-01 44401
2016-01-01 45175
2017-01-01 49530
2018-01-01 49677
2019-01-01 52229
2020-01-01 59318
2021-01-01 58292
2022-01-01 60367
2023-01-01 62783

Subscribe to the FRED newsletter


Follow us

Back to Top