Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Decatur County, IA
Series ID MHICILBIA19053A052NCEN
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 2:33 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 16539
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19301
1994-01-01 .
1995-01-01 18894
1996-01-01 .
1997-01-01 22383
1998-01-01 22718
1999-01-01 25301
2000-01-01 26401
2001-01-01 25856
2002-01-01 25702
2003-01-01 26456
2004-01-01 27406
2005-01-01 27433
2006-01-01 32859
2007-01-01 29087
2008-01-01 30567
2009-01-01 29277
2010-01-01 31012
2011-01-01 30483
2012-01-01 34958
2013-01-01 34643
2014-01-01 32902
2015-01-01 35599
2016-01-01 33687
2017-01-01 37682
2018-01-01 36813
2019-01-01 40187
2020-01-01 39483
2021-01-01 43453
2022-01-01 46531
2023-01-01 48023

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