Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Piatt County, IL
Series ID MHICIUBIL17147A052NCEN
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 32870
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 39406
1994-01-01 .
1995-01-01 41745
1996-01-01 .
1997-01-01 46264
1998-01-01 48399
1999-01-01 48462
2000-01-01 51455
2001-01-01 50787
2002-01-01 51319
2003-01-01 51118
2004-01-01 53045
2005-01-01 54029
2006-01-01 55622
2007-01-01 59984
2008-01-01 64760
2009-01-01 62510
2010-01-01 58430
2011-01-01 64385
2012-01-01 68566
2013-01-01 70868
2014-01-01 72367
2015-01-01 69050
2016-01-01 72042
2017-01-01 73137
2018-01-01 74282
2019-01-01 80294
2020-01-01 78358
2021-01-01 87583
2022-01-01 94459
2023-01-01 90677

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