Title:               90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bollinger County, MO
Series ID:           MHICIUBMO29017A052NCEN
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 1:11 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
                     (https://www.census.gov/programs-surveys/saipe/about.html) (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
                     (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html).

DATE        VALUE
1989-01-01  19473
1990-01-01      .
1991-01-01      .
1992-01-01      .
1993-01-01  24286
1994-01-01      .
1995-01-01  27726
1996-01-01      .
1997-01-01  29151
1998-01-01  30454
1999-01-01  31306
2000-01-01  33405
2001-01-01  32481
2002-01-01  33093
2003-01-01  34506
2004-01-01  35773
2005-01-01  37629
2006-01-01  37212
2007-01-01  38780
2008-01-01  39465
2009-01-01  38582
2010-01-01  40376
2011-01-01  41817
2012-01-01  40829
2013-01-01  41263
2014-01-01  42983
2015-01-01  45487
2016-01-01  45268
2017-01-01  47695
2018-01-01  48815
2019-01-01  51209
2020-01-01  55061
2021-01-01  59430
2022-01-01  60092