Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kidder County, ND
Series ID MHICILBND38043A052NCEN
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 16908
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19303
1994-01-01 .
1995-01-01 17567
1996-01-01 .
1997-01-01 20614
1998-01-01 22429
1999-01-01 24382
2000-01-01 25652
2001-01-01 25455
2002-01-01 25378
2003-01-01 26787
2004-01-01 28256
2005-01-01 27587
2006-01-01 29167
2007-01-01 28903
2008-01-01 28953
2009-01-01 34758
2010-01-01 31687
2011-01-01 35842
2012-01-01 36988
2013-01-01 43479
2014-01-01 42766
2015-01-01 42729
2016-01-01 43473
2017-01-01 41597
2018-01-01 40382
2019-01-01 45156
2020-01-01 41829
2021-01-01 48926
2022-01-01 49945

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