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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Buena Vista County, IA
Series ID MHICILBIA19021A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:10 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 24525
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28181
1994-01-01 .
1995-01-01 29384
1996-01-01 .
1997-01-01 32440
1998-01-01 32365
1999-01-01 32923
2000-01-01 33732
2001-01-01 33618
2002-01-01 33885
2003-01-01 34281
2004-01-01 36311
2005-01-01 35413
2006-01-01 36043
2007-01-01 37184
2008-01-01 40822
2009-01-01 39828
2010-01-01 40978
2011-01-01 42533
2012-01-01 42679
2013-01-01 43716
2014-01-01 47206
2015-01-01 47442
2016-01-01 48661
2017-01-01 47997
2018-01-01 47716
2019-01-01 53931
2020-01-01 52871
2021-01-01 53421
2022-01-01 60624
2023-01-01 58421
2024-01-01 70305

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