Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Palo Alto County, IA
Series ID MHICILBIA19147A052NCEN
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 21022
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23619
1994-01-01 .
1995-01-01 25100
1996-01-01 .
1997-01-01 29520
1998-01-01 29495
1999-01-01 30477
2000-01-01 31339
2001-01-01 30962
2002-01-01 30649
2003-01-01 31613
2004-01-01 34879
2005-01-01 33345
2006-01-01 35495
2007-01-01 39044
2008-01-01 37926
2009-01-01 40641
2010-01-01 39246
2011-01-01 39428
2012-01-01 43367
2013-01-01 44973
2014-01-01 45601
2015-01-01 44390
2016-01-01 46453
2017-01-01 47201
2018-01-01 50364
2019-01-01 49517
2020-01-01 56023
2021-01-01 50919
2022-01-01 59341

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