Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Douglas County, KS

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Douglas County, KS
Series ID MHICILBKS20045A052NCEN
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 24251
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29065
1994-01-01 .
1995-01-01 30954
1996-01-01 .
1997-01-01 34322
1998-01-01 36084
1999-01-01 35158
2000-01-01 36463
2001-01-01 36399
2002-01-01 36434
2003-01-01 36699
2004-01-01 37436
2005-01-01 37920
2006-01-01 43375
2007-01-01 41476
2008-01-01 44551
2009-01-01 41396
2010-01-01 44301
2011-01-01 44582
2012-01-01 45478
2013-01-01 48132
2014-01-01 46181
2015-01-01 48135
2016-01-01 52134
2017-01-01 51691
2018-01-01 51805
2019-01-01 57239
2020-01-01 57566
2021-01-01 54593
2022-01-01 61380

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