Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bottineau County, ND
Series ID MHICILBND38009A052NCEN
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 20139
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25196
1994-01-01 .
1995-01-01 25631
1996-01-01 .
1997-01-01 27080
1998-01-01 26559
1999-01-01 27610
2000-01-01 29775
2001-01-01 29769
2002-01-01 32466
2003-01-01 35631
2004-01-01 35010
2005-01-01 32689
2006-01-01 34157
2007-01-01 36109
2008-01-01 40720
2009-01-01 44575
2010-01-01 44019
2011-01-01 47358
2012-01-01 46933
2013-01-01 56199
2014-01-01 51366
2015-01-01 50788
2016-01-01 49119
2017-01-01 50980
2018-01-01 53491
2019-01-01 55820
2020-01-01 53251
2021-01-01 60327
2022-01-01 61605

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