Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Allegan County, MI
Series ID MHICILBMI26005A052NCEN
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 28281
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33304
1994-01-01 .
1995-01-01 36926
1996-01-01 .
1997-01-01 40120
1998-01-01 42041
1999-01-01 42882
2000-01-01 44267
2001-01-01 43559
2002-01-01 43468
2003-01-01 43943
2004-01-01 45172
2005-01-01 45084
2006-01-01 49042
2007-01-01 48725
2008-01-01 47917
2009-01-01 47506
2010-01-01 43803
2011-01-01 48296
2012-01-01 47772
2013-01-01 52673
2014-01-01 50699
2015-01-01 53138
2016-01-01 54755
2017-01-01 58756
2018-01-01 58055
2019-01-01 62669
2020-01-01 58515
2021-01-01 70448
2022-01-01 72111

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