Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Humboldt County, IA
Series ID MHICIUBIA19091A052NCEN
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 28864
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32199
1994-01-01 .
1995-01-01 36449
1996-01-01 .
1997-01-01 40123
1998-01-01 40898
1999-01-01 40072
2000-01-01 42655
2001-01-01 41831
2002-01-01 42001
2003-01-01 42291
2004-01-01 45519
2005-01-01 46440
2006-01-01 44795
2007-01-01 47252
2008-01-01 53412
2009-01-01 50578
2010-01-01 49829
2011-01-01 53148
2012-01-01 56227
2013-01-01 57101
2014-01-01 54720
2015-01-01 57499
2016-01-01 59471
2017-01-01 62195
2018-01-01 65911
2019-01-01 61913
2020-01-01 70762
2021-01-01 75822
2022-01-01 76494
2023-01-01 79759

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