NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jefferson County, MT Series ID: MHICIUBMT30043A052NCEN 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 12:51 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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 31164 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 38950 1994-01-01 . 1995-01-01 42703 1996-01-01 . 1997-01-01 44923 1998-01-01 46147 1999-01-01 44651 2000-01-01 46621 2001-01-01 45367 2002-01-01 46706 2003-01-01 48349 2004-01-01 50618 2005-01-01 53028 2006-01-01 53483 2007-01-01 59001 2008-01-01 61871 2009-01-01 59368 2010-01-01 62942 2011-01-01 60969 2012-01-01 63858 2013-01-01 64114 2014-01-01 66914 2015-01-01 67072 2016-01-01 69387 2017-01-01 73654 2018-01-01 75709 2019-01-01 77784 2020-01-01 90132 2021-01-01 75056 2022-01-01 93473