Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Sanders County, MT
Series ID MHICIUBMT30089A052NCEN
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 1:11 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 21023
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23101
1994-01-01 .
1995-01-01 26531
1996-01-01 .
1997-01-01 27146
1998-01-01 28458
1999-01-01 28290
2000-01-01 29873
2001-01-01 28391
2002-01-01 29187
2003-01-01 30266
2004-01-01 31582
2005-01-01 32186
2006-01-01 33937
2007-01-01 34621
2008-01-01 32520
2009-01-01 37303
2010-01-01 33063
2011-01-01 33303
2012-01-01 36125
2013-01-01 38257
2014-01-01 34949
2015-01-01 40096
2016-01-01 42229
2017-01-01 44372
2018-01-01 43840
2019-01-01 50117
2020-01-01 52560
2021-01-01 55297
2022-01-01 52615

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