Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Stutsman County, ND
Series ID MHICIUBND38093A052NCEN
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 1:09 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 25282
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29943
1994-01-01 .
1995-01-01 32478
1996-01-01 .
1997-01-01 35305
1998-01-01 36912
1999-01-01 35976
2000-01-01 38056
2001-01-01 37282
2002-01-01 38014
2003-01-01 39539
2004-01-01 40500
2005-01-01 41770
2006-01-01 43487
2007-01-01 45287
2008-01-01 47829
2009-01-01 49466
2010-01-01 49334
2011-01-01 53465
2012-01-01 49019
2013-01-01 55389
2014-01-01 57374
2015-01-01 59262
2016-01-01 57504
2017-01-01 62575
2018-01-01 62134
2019-01-01 66299
2020-01-01 67755
2021-01-01 71383
2022-01-01 73142

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