Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Palo Alto County, IA
Series ID MHICIUBIA19147A052NCEN
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 1:53 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 25591
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28201
1994-01-01 .
1995-01-01 31338
1996-01-01 .
1997-01-01 35800
1998-01-01 35689
1999-01-01 34765
2000-01-01 36506
2001-01-01 35541
2002-01-01 35282
2003-01-01 35970
2004-01-01 39597
2005-01-01 39458
2006-01-01 41795
2007-01-01 46429
2008-01-01 46198
2009-01-01 46863
2010-01-01 47474
2011-01-01 47686
2012-01-01 51911
2013-01-01 54099
2014-01-01 55599
2015-01-01 53594
2016-01-01 54831
2017-01-01 57421
2018-01-01 60280
2019-01-01 60631
2020-01-01 70305
2021-01-01 64813
2022-01-01 71535

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