Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pottawattamie County, IA
Series ID MHICILBIA19155A052NCEN
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 1:54 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 22876
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27829
1994-01-01 .
1995-01-01 30235
1996-01-01 .
1997-01-01 32884
1998-01-01 33963
1999-01-01 36135
2000-01-01 37901
2001-01-01 37208
2002-01-01 37382
2003-01-01 38384
2004-01-01 40125
2005-01-01 42423
2006-01-01 43778
2007-01-01 45037
2008-01-01 46696
2009-01-01 42911
2010-01-01 45032
2011-01-01 44777
2012-01-01 47585
2013-01-01 47969
2014-01-01 47943
2015-01-01 49336
2016-01-01 51919
2017-01-01 54167
2018-01-01 52373
2019-01-01 56599
2020-01-01 55854
2021-01-01 62278
2022-01-01 63763

Subscribe to the FRED newsletter


Follow us

Back to Top