Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Clare County, MI
Series ID MHICIUBMI26035A052NCEN
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 3:11 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 19915
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22260
1994-01-01 .
1995-01-01 26774
1996-01-01 .
1997-01-01 28371
1998-01-01 29928
1999-01-01 30292
2000-01-01 32129
2001-01-01 31027
2002-01-01 31236
2003-01-01 32060
2004-01-01 33319
2005-01-01 36197
2006-01-01 34224
2007-01-01 35772
2008-01-01 37352
2009-01-01 35282
2010-01-01 34461
2011-01-01 33496
2012-01-01 34272
2013-01-01 36356
2014-01-01 37062
2015-01-01 35773
2016-01-01 40808
2017-01-01 39707
2018-01-01 42545
2019-01-01 45073
2020-01-01 49558
2021-01-01 49117
2022-01-01 52088
2023-01-01 51557

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