Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for McHenry County, ND
Series ID MHICILBND38049A052NCEN
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 3:13 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 15508
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20254
1994-01-01 .
1995-01-01 19788
1996-01-01 .
1997-01-01 21491
1998-01-01 22048
1999-01-01 25390
2000-01-01 26778
2001-01-01 26808
2002-01-01 27204
2003-01-01 29698
2004-01-01 30257
2005-01-01 29093
2006-01-01 30101
2007-01-01 32698
2008-01-01 34024
2009-01-01 34729
2010-01-01 36586
2011-01-01 40625
2012-01-01 40200
2013-01-01 44444
2014-01-01 44027
2015-01-01 51529
2016-01-01 48579
2017-01-01 48422
2018-01-01 48960
2019-01-01 53593
2020-01-01 50261
2021-01-01 57236
2022-01-01 57872
2023-01-01 60676

Subscribe to the FRED newsletter


Follow us

Back to Top