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2022 Cities Reporting Guidance

  • Pathways
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Questionnaire Pathways Guidance Note

1. Introduction

1.1 Overview

  • CDP and ICLEI have introduced three Questionnaire Pathways to reflect the different contexts of local governments and to further streamline climate-related reporting.
  • The 2022 Cities Questionnaire is divided into three distinct pathways, an increase in the pathways is accompanied by an increase in the number of questions.
  • Respondents will be recommended a pathway during the questionnaire activation process based upon their response to three questions but are provided the flexibility to select any pathway.
  • Prior to submitting the response, respondents can always return to their dashboard and change the pathway selected. The pathway selected does not affect meeting the reporting requirements of the projects and initiatives the jurisdiction is participating in and it does not affect CDP scoring or Global Covenant of Mayor's badging.

1.2 Questions by pathway

  • An increase in the pathways is accompanied by a gradual increase in the number of questions. A high-level breakdown is provided in the table below and the complete breakdown can be viewed in the Questionnaire Mapping Document.
    Pathway Number of Questions View Questionnaire by Pathway
    1 27 View the Pathway 1 Questionnaire
    2 34 View the Pathway 2 Questionnaire
    3 40 View the Pathway 3 Questionnaire

2. Process

2.1 Questionnaire Activation Process

  • Respondents will be recommended a pathway during the questionnaire activation process based upon their response to three questions, however flexibility is provided so that any pathway can be selected.
  • Respondents are required to activate their response each year, this five-step process (as outlined in the table below) now includes an additional step titled 'Questionnaire Pathway Selection'.
Activation Process
Step 1: Get Started
Step 2: Confirm Main User
Step 3: Opt-in to Projects
Step 4: Questionnaire Pathway Selection
Step 5: Start Questionnaire

2.2 Questionnaire Pathway Selection

  • The Questionnaire Pathway Selection is a 2-step process, in the first step 'Jurisdiction Details' the respondent responds to three questions and in the second step 'My Questionnaire Pathway' the respondent selects their pathway.
  • Respondents will be presented with three questions in the Questionnaire Pathway Selection screen. The purpose of these questions is to inform the pathway that the responding jurisdiction will be recommended to report against. The questions request the respondent to select the options that most accurately reflect the jurisdictions population, emissions per capita and human development index.
  • The options for both the emissions per capita and human development index are prepopulated based on the country of the responding jurisdiction, these selections can be changed by the jurisdiction should local and/or regional data be available and different to the prepopulated selection. Once the three questions have a response the recommended pathway can then be selected.
  • The respondent can then proceed to the questionnaire using the recommended pathway by clicking the 'Enter questionnaire' button to the bottom right of the screen or the respondent can select any of the other two pathways by clicking on the link in the presented sentence 'To change your pathway, click here.' Once this link is clicked the other pathway options will be presented
  • The questions and applicable responses are outlined in the table below while further information on the methodology for the recommendation is provided in Section 2.3.
Questions to Inform Pathway Recommendation

Jurisdiction Population

  • < 500,000
  • 500,000 - 1,500,000
  • > 1,500,000

Per Capita Emissions

  • < 3 metric tonnes CO2e/capita
  • 3-5 metric tonnes CO2e/capita
  • > 5 metric tonnes CO2e/capita

Human Development Index

  • Low or Medium
  • High
  • Very high

2.3 Pathway recommendation calculation

The questionnaire pathway recommendation is based on the questionnaire pathway index value. The questionnaire pathway index is a summary measure related to the dimensions of population, emissions per capita and human development. In order to transform the indicators expressed in different units into indices between 0 and 1 each indicator is subdivided into three ranges and each range is assigned an index value. The geometric mean of these three indices is then used to generate the questionnaire pathway index value, as detailed in the tables below.

Dimension 1: Population

Range Index Value
<500,000 0.33333
500,000 - 1,500,000 0.66666
>1,500,000 1

Indicator 2: Emissions per capita

Range Index Value
<3 tonnes per capita 0.33333
3-5 tonnes per capita 0.66666
>5 tonnes per capita 1

Indicator 3: Human Development Index

Range Index Value
Low or Medium 0.33333
High 0.66666
Very high 1

Relationship of Index Value Geometric Mean and Recommended Questionnaire Pathway

Index Value Geometric Mean Recommended Questionnaire Pathway
<0.65 Pathway 1
0.65-0.8 Pathway 2
>0.8 Pathway 3

HDI and Emissions Per Capita Prepopulated Responses

The response options for both the emissions per capita and human development index are prepopulated based on the country/region of the responding jurisdiction, these selections can be changed by the jurisdiction should local and/or regional data be available and different to the prepopulated selection. The table below indicates the response options prepopulates based on the country/region.

ISO Code Country/Area Name Human Development Index (HDI) - Populated Response Emissions Per Capita - Populated Response
AF Afghanistan Low, Medium 0-3 metric tonnes CO2e per capita
AX Åland Islands Very HighNo prepopulation possible
AL Albania High 0-3 metric tonnes CO2e per capita
DZ Algeria High 3-5 metric tonnes CO2e per capita
AS American Samoa Low, Medium No prepopulation possible
AD Andorra Very High >5 metric tonnes CO2e per capita
AO Angola Low, Medium 0-3 metric tonnes CO2e per capita
AI Anguilla HighNo prepopulation possible
AQ Antarctica Low, Medium No prepopulation possible
AG Antigua and Barbuda High >5 metric tonnes CO2e per capita
AR Argentina Very High 3-5 metric tonnes CO2e per capita
AM Armenia High 0-3 metric tonnes CO2e per capita
AW Aruba High No prepopulation possible
AU Australia Very High >5 metric tonnes CO2e per capita
AT Austria Very High >5 metric tonnes CO2e per capita
AZ Azerbaijan High 3-5 metric tonnes CO2e per capita
BS Bahamas Very High 3-5 metric tonnes CO2e per capita
BH Bahrain Very High >5 metric tonnes CO2e per capita
BD Bangladesh Low, Medium 0-3 metric tonnes CO2e per capita
BB Barbados Very High 3-5 metric tonnes CO2e per capita
BY Belarus Very High >5 metric tonnes CO2e per capita
BE Belgium Very High >5 metric tonnes CO2e per capita
BZ Belize High 0-3 metric tonnes CO2e per capita
BJ Benin Low, Medium 0-3 metric tonnes CO2e per capita
BM Bermuda Very HighNo prepopulation possible
BT Bhutan Low, Medium 0-3 metric tonnes CO2e per capita
BO Bolivia (Plurinational State of) High 0-3 metric tonnes CO2e per capita
BQ Bonaire, Sint Eustatius and Saba High No prepopulation possible
BA Bosnia & Herzegovina High >5 metric tonnes CO2e per capita
BW Botswana High 0-3 metric tonnes CO2e per capita
BV Bouvet Island Low, Medium No prepopulation possible
BR Brazil High 0-3 metric tonnes CO2e per capita
IO British Indian Ocean Territory Low, Medium No prepopulation possible
VG British Virgin Islands High No prepopulation possible
BN Brunei Darussalam Very High >5 metric tonnes CO2e per capita
BG Bulgaria Very High >5 metric tonnes CO2e per capita
BF Burkina Faso Low, Medium 0-3 metric tonnes CO2e per capita
BI Burundi Low, Medium 0-3 metric tonnes CO2e per capita
CV Cabo Verde Low, Medium 0-3 metric tonnes CO2e per capita
KH Cambodia Low, Medium 0-3 metric tonnes CO2e per capita
CM Cameroon Low, Medium 0-3 metric tonnes CO2e per capita
CA Canada Very High >5 metric tonnes CO2e per capita
KY Cayman Islands Very HighNo prepopulation possible
CF Central African Republic Low, Medium 0-3 metric tonnes CO2e per capita
TD Chad Low, Medium 0-3 metric tonnes CO2e per capita
CL Chile Very High 3-5 metric tonnes CO2e per capita
CN China High >5 metric tonnes CO2e per capita
HK China, Hong Kong Special Administrative Region Very High >5 metric tonnes CO2e per capita
MO China, Macao Special Administrative Region Very High
No prepopulation possible
CX Christmas Island Low, MediumNo prepopulation possible
CC Cocos (Keeling) Islands Low, Medium No prepopulation possible
CO Colombia High 0-3 metric tonnes CO2e per capita
KM Comoros Low, Medium 0-3 metric tonnes CO2e per capita
CG Congo Low, Medium 0-3 metric tonnes CO2e per capita
CK Cook Islands Low, MediumNo prepopulation possible
CR Costa Rica Very High 0-3 metric tonnes CO2e per capita
CI Côte d'Ivoire Low, Medium 0-3 metric tonnes CO2e per capita
HR Croatia Very High 3-5 metric tonnes CO2e per capita
CU Cuba High 0-3 metric tonnes CO2e per capita
CW Curaçao HighNo prepopulation possible
CY Cyprus Very High >5 metric tonnes CO2e per capita
CZ Czechia Very High >5 metric tonnes CO2e per capita
KP Democratic People's Republic of Korea Low, Medium 0-3 metric tonnes CO2e per capita
CD Democratic Republic of the Congo Low, Medium 0-3 metric tonnes CO2e per capita
DK Denmark Very High >5 metric tonnes CO2e per capita
DJ Djibouti Low, Medium 0-3 metric tonnes CO2e per capita
DM Dominica High 0-3 metric tonnes CO2e per capita
DO Dominican Republic High 0-3 metric tonnes CO2e per capita
EC Ecuador High 0-3 metric tonnes CO2e per capita
EG Egypt High 0-3 metric tonnes CO2e per capita
SV El Salvador Low, Medium 0-3 metric tonnes CO2e per capita
GQ Equatorial Guinea Low, Medium 3-5 metric tonnes CO2e per capita
ER Eritrea Low, Medium 0-3 metric tonnes CO2e per capita
EE Estonia Very High >5 metric tonnes CO2e per capita
SZ Eswatini Low, Medium 0-3 metric tonnes CO2e per capita
ET Ethiopia Low, Medium 0-3 metric tonnes CO2e per capita
FK Falkland Islands (Malvinas) Low, Medium No prepopulation possible
FO Faroe Islands Very HighNo prepopulation possible
FJ Fiji High 0-3 metric tonnes CO2e per capita
FI Finland Very High >5 metric tonnes CO2e per capita
FR France Very High >5 metric tonnes CO2e per capita
GF French Guiana HighNo prepopulation possible
PF French Polynesia HighNo prepopulation possible
TF French Southern Territories Low, Medium No prepopulation possible
GA Gabon High 0-3 metric tonnes CO2e per capita
GM Gambia Low, Medium 0-3 metric tonnes CO2e per capita
GE Georgia Very High 0-3 metric tonnes CO2e per capita
DE Germany Very High >5 metric tonnes CO2e per capita
GH Ghana Low, Medium 0-3 metric tonnes CO2e per capita
GI Gibraltar Very High >5 metric tonnes CO2e per capita
GR Greece Very High >5 metric tonnes CO2e per capita
GL Greenland Very High No prepopulation possible
GD Grenada High 0-3 metric tonnes CO2e per capita
GP Guadeloupe Very HighNo prepopulation possible
GU Guam High No prepopulation possible
GT Guatemala Low, Medium 0-3 metric tonnes CO2e per capita
GG Guernsey Very HighNo prepopulation possible
GN Guinea Low, Medium 0-3 metric tonnes CO2e per capita
GW Guinea-Bissau Low, Medium 0-3 metric tonnes CO2e per capita
GY Guyana Low, Medium 3-5 metric tonnes CO2e per capita
HT Haiti Low, Medium 0-3 metric tonnes CO2e per capita
HM Heard Island and McDonald Islands Low, Medium No prepopulation possible
VA Holy See Low, MediumNo prepopulation possible
HN Honduras Low, Medium 0-3 metric tonnes CO2e per capita
HU Hungary Very High >5 metric tonnes CO2e per capita
IS Iceland Very High >5 metric tonnes CO2e per capita
IN India Low, Medium 0-3 metric tonnes CO2e per capita
ID Indonesia High 0-3 metric tonnes CO2e per capita
IR Iran (Islamic Republic of) High >5 metric tonnes CO2e per capita
IQ Iraq Low, Medium >5 metric tonnes CO2e per capita
IE Ireland Very High >5 metric tonnes CO2e per capita
IM Isle of Man Very HighNo prepopulation possible
IL Israel Very High >5 metric tonnes CO2e per capita
IT Italy Very High >5 metric tonnes CO2e per capita
JM Jamaica High 0-3 metric tonnes CO2e per capita
JP Japan Very High >5 metric tonnes CO2e per capita
JE Jersey Very HighNo prepopulation possible
JO Jordan High 0-3 metric tonnes CO2e per capita
KZ Kazakhstan Very High >5 metric tonnes CO2e per capita
KE Kenya Low, Medium 0-3 metric tonnes CO2e per capita
KI Kiribati Low, Medium 0-3 metric tonnes CO2e per capita
KW Kuwait Very High >5 metric tonnes CO2e per capita
KG Kyrgyzstan Low, Medium 0-3 metric tonnes CO2e per capita
LA Lao People's Democratic Republic Low, Medium 0-3 metric tonnes CO2e per capita
LV Latvia Very High 3-5 metric tonnes CO2e per capita
LB Lebanon High 3-5 metric tonnes CO2e per capita
LS Lesotho Low, Medium 0-3 metric tonnes CO2e per capita
LR Liberia Low, Medium 0-3 metric tonnes CO2e per capita
LY Libya High >5 metric tonnes CO2e per capita
LI Liechtenstein Very High 3-5 metric tonnes CO2e per capita
LT Lithuania Very High 3-5 metric tonnes CO2e per capita
LU Luxembourg Very High >5 metric tonnes CO2e per capita
MG Madagascar Low, Medium 0-3 metric tonnes CO2e per capita
MW Malawi Low, Medium 0-3 metric tonnes CO2e per capita
MY Malaysia Very High >5 metric tonnes CO2e per capita
MV Maldives High 0-3 metric tonnes CO2e per capita
ML Mali Low, Medium 0-3 metric tonnes CO2e per capita
MT Malta Very High 3-5 metric tonnes CO2e per capita
MH Marshall Islands High 0-3 metric tonnes CO2e per capita
MQ Martinique HighNo prepopulation possible
MR Mauritania Low, Medium 0-3 metric tonnes CO2e per capita
MU Mauritius Very High 3-5 metric tonnes CO2e per capita
YT Mayotte HighNo prepopulation possible
MX Mexico High 3-5 metric tonnes CO2e per capita
FM Micronesia (Federated States of) Low, Medium 0-3 metric tonnes CO2e per capita
MC Monaco Very High 0-3 metric tonnes CO2e per capita
MN Mongolia High >5 metric tonnes CO2e per capita
ME Montenegro Very High 3-5 metric tonnes CO2e per capita
MS Montserrat Low, Medium No prepopulation possible
MA Morocco Low, Medium 0-3 metric tonnes CO2e per capita
MZ Mozambique Low, Medium 0-3 metric tonnes CO2e per capita
MM Myanmar Low, Medium 0-3 metric tonnes CO2e per capita
NA Namibia Low, Medium 0-3 metric tonnes CO2e per capita
NR Nauru Low, Medium 3-5 metric tonnes CO2e per capita
NP Nepal Low, Medium 0-3 metric tonnes CO2e per capita
NL Netherlands Very High >5 metric tonnes CO2e per capita
NC New Caledonia Low, MediumNo prepopulation possible
NZ New Zealand Very High >5 metric tonnes CO2e per capita
NI Nicaragua Low, Medium 0-3 metric tonnes CO2e per capita
NE Niger Low, Medium 0-3 metric tonnes CO2e per capita
NG Nigeria Low, Medium 0-3 metric tonnes CO2e per capita
NU Niue Low, MediumNo prepopulation possible
NF Norfolk Island Low, MediumNo prepopulation possible
MK North Macedonia High 3-5 metric tonnes CO2e per capita
MP Northern Mariana Islands HighNo prepopulation possible
NO Norway Very High >5 metric tonnes CO2e per capita
OM Oman Very High >5 metric tonnes CO2e per capita
PK Pakistan Low, Medium 0-3 metric tonnes CO2e per capita
PW Palau Very High >5 metric tonnes CO2e per capita
PA Panama Very High 0-3 metric tonnes CO2e per capita
PG Papua New Guinea Low, Medium 0-3 metric tonnes CO2e per capita
PY Paraguay High 0-3 metric tonnes CO2e per capita
PE Peru High 0-3 metric tonnes CO2e per capita
PH Philippines High 0-3 metric tonnes CO2e per capita
PN Pitcairn Low, MediumNo prepopulation possible
PL Poland Very High >5 metric tonnes CO2e per capita
PT Portugal Very High 3-5 metric tonnes CO2e per capita
PR Puerto Rico HighNo prepopulation possible
QA Qatar Very High >5 metric tonnes CO2e per capita
KR Republic of Korea Very High >5 metric tonnes CO2e per capita
MD Republic of Moldova High 0-3 metric tonnes CO2e per capita
RE Réunion Very HighNo prepopulation possible
RO Romania Very High 3-5 metric tonnes CO2e per capita
RU Russian Federation Very High >5 metric tonnes CO2e per capita
RW Rwanda Low, Medium 0-3 metric tonnes CO2e per capita
BL Saint Barthélemy High No prepopulation possible
SH Saint Helena Low, MediumNo prepopulation possible
KN Saint Kitts and Nevis High 3-5 metric tonnes CO2e per capita
LC Saint Lucia High 0-3 metric tonnes CO2e per capita
MF Saint Martin (French Part) Low, Medium No prepopulation possible
PM Saint Pierre and Miquelon Very High No prepopulation possible
VC Saint Vincent and the Grenadines High 0-3 metric tonnes CO2e per capita
WS Samoa High 0-3 metric tonnes CO2e per capita
SM San Marino Very High No prepopulation possible
ST Sao Tome and Principe Low, Medium 0-3 metric tonnes CO2e per capita
SA Saudi Arabia Very High >5 metric tonnes CO2e per capita
SN Senegal Low, Medium 0-3 metric tonnes CO2e per capita
RS Serbia Very High >5 metric tonnes CO2e per capita
SC Seychelles High >5 metric tonnes CO2e per capita
SL Sierra Leone Low, Medium 0-3 metric tonnes CO2e per capita
SG Singapore Very High >5 metric tonnes CO2e per capita
SX Sint Maarten (Dutch part) High No prepopulation possible
SK Slovakia Very High >5 metric tonnes CO2e per capita
SI Slovenia Very High >5 metric tonnes CO2e per capita
SB Solomon Islands Low, Medium 0-3 metric tonnes CO2e per capita
SO Somalia Low, Medium 0-3 metric tonnes CO2e per capita
ZA South Africa High >5 metric tonnes CO2e per capita
GS South Georgia and the South Sandwich Islands Low, MediumNo prepopulation possible
SS South Sudan Low, Medium 0-3 metric tonnes CO2e per capita
ES Spain Very High >5 metric tonnes CO2e per capita
LK Sri Lanka High 0-3 metric tonnes CO2e per capita
PS State of Palestine High 0-3 metric tonnes CO2e per capita
SD Sudan Low, Medium 0-3 metric tonnes CO2e per capita
SR Suriname High 3-5 metric tonnes CO2e per capita
SJ Svalbard and Jan Mayen Islands Low, Medium No prepopulation possible
SE Sweden Very High 3-5 metric tonnes CO2e per capita
CH Switzerland Very High 3-5 metric tonnes CO2e per capita
SY Syrian Arab Republic Low, Medium 0-3 metric tonnes CO2e per capita
TW Taiwan, China Very High >5 metric tonnes CO2e per capita
TJ Tajikistan Low, Medium 0-3 metric tonnes CO2e per capita
TH Thailand High 3-5 metric tonnes CO2e per capita
TL Timor-Leste Low, Medium 0-3 metric tonnes CO2e per capita
TG Togo Low, Medium 0-3 metric tonnes CO2e per capita
TK Tokelau Low, MediumNo prepopulation possible
TO Tonga High 0-3 metric tonnes CO2e per capita
TT Trinidad and Tobago High >5 metric tonnes CO2e per capita
TN Tunisia High 0-3 metric tonnes CO2e per capita
TR Turkey Very High >5 metric tonnes CO2e per capita
TM Turkmenistan High >5 metric tonnes CO2e per capita
TC Turks and Caicos Islands HighNo prepopulation possible
TV Tuvalu Low, Medium 0-3 metric tonnes CO2e per capita
UG Uganda Low, Medium 0-3 metric tonnes CO2e per capita
UA Ukraine High >5 metric tonnes CO2e per capita
AE United Arab Emirates Very High >5 metric tonnes CO2e per capita
GB United Kingdom of Great Britain and Northern Ireland Very High >5 metric tonnes CO2e per capita
TZ United Republic of Tanzania Low, Medium 0-3 metric tonnes CO2e per capita
UM United States Minor Outlying Islands Low, MediumNo prepopulation possible
US United States of America Very High >5 metric tonnes CO2e per capita
VI United States Virgin Islands HighNo prepopulation possible
UY Uruguay Very High 0-3 metric tonnes CO2e per capita
UZ Uzbekistan High 0-3 metric tonnes CO2e per capita
VU Vanuatu Low, Medium 0-3 metric tonnes CO2e per capita
VE Venezuela (Bolivarian Republic of) High 3-5 metric tonnes CO2e per capita
VN Viet Nam High 0-3 metric tonnes CO2e per capita
WF Wallis and Futuna Islands Low, MediumNo prepopulation possible
EH Western Sahara Low, MediumNo prepopulation possible
YE Yemen Low, Medium 0-3 metric tonnes CO2e per capita
ZM Zambia Low, Medium 0-3 metric tonnes CO2e per capita
ZW Zimbabwe Low, Medium 0-3 metric tonnes CO2e per capita

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