Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ogle County, IL
Series ID MHICIUBIL17141A052NCEN
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 3:12 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 33324
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38206
1994-01-01 .
1995-01-01 41779
1996-01-01 .
1997-01-01 45091
1998-01-01 47080
1999-01-01 47988
2000-01-01 50426
2001-01-01 49541
2002-01-01 49369
2003-01-01 49849
2004-01-01 51647
2005-01-01 55395
2006-01-01 53291
2007-01-01 57242
2008-01-01 59931
2009-01-01 56123
2010-01-01 56664
2011-01-01 58974
2012-01-01 56188
2013-01-01 55271
2014-01-01 61429
2015-01-01 61431
2016-01-01 63128
2017-01-01 63912
2018-01-01 66944
2019-01-01 69459
2020-01-01 76011
2021-01-01 79899
2022-01-01 83415
2023-01-01 83178

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