Questionnaire Pathways and Pathways Maps for the Cities questionnaire

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This article is for disclosing Cities and details the 3 different Pathways and Pathway Maps in CDP-ICLEI Track.

Introduction
Section 1: Questionnaire pathways

Introduction

The 2026 Cities questionnaire is divided into three distinct Pathways. These three Pathways streamline reporting, allowing local jurisdictions to find the most appropriate questionnaire for their local context.

Responders will be recommended a Pathway during the questionnaire activation process based on their response to three jurisdictional attributes. Jurisdictions are provided the flexibility to change their pathway if required. They can also return to their dashboard and change the Pathway selected at any point prior to submitting their response.

An increase in the Pathways is accompanied by an increase in the number of questions. 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 Mayors badging. A high-level breakdown is provided in the table below, in Section 1, and a complete breakdown can be viewed in Section 2.

Section 1: Questionnaire Pathways

Pathway	Number of questions
1	30
2	6
3	3

Pathway Recommendation

During the questionnaire activation process, responders will be presented with three questions that inform the recommendation of a pathway. These questions request the responder to select the options that most accurately reflect three attributes: the jurisdiction’s 1) population; 2) emissions per capita; and 3) human development index (HDI).

The options for both the emissions per capita and HDI are prepopulated based on the country/area/region of the responding jurisdiction. The pre-population is based on national-level data and can be changed should local and/or regional data be available and different to the prepopulated selection, or when the jurisdiction’s total emissions per capita (at least scope 1 and 2 or GPC-aligned BASIC) is different.

The responder can then proceed to the questionnaire using the recommended pathway, or they can select either of the other two pathways. ICLEI Network Cities are encouraged to report to Pathway 3.

The questions and applicable responses are outlined in the table below while further information on the methodology for the recommendation is provided in Section 3.

Jurisdictional Attribute	Options	Source for pre-populated option
Population	< 500,000 500,000 – 1,500,000 > 1,500,000	N/A
Per Capita Emissions	< 3 metric tonnes CO2e/capita 3-5 metric tonnes CO2e/capita > 5 metric tonnes CO2e/capita	Global Carbon Project 2021. Supplemental data of Global Carbon Budget 2021 (Version 1.0) [Data set]. Global Carbon Project. https://doi.org/10.18160/gcp-2021.
Human Development Index	Low or Medium (< 0.7) High (0.7 - 0.799) Very high (> 0.8)	UNDP (United Nations Development Programme). 2022. Human Development Report 2021-22: Uncertain Times, Unsettled Lives: Shaping our Future in a Transforming World. New York.

Pathway Recommendation Methodology

The Cities 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. 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.

Attribute 1: Population

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

Attribute 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

Attribute 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
< 0.62	Pathway 1
0.62 - 0.8	Pathway 2
> 0.8	Pathway 3

Emissions Per Capita and Human Development Index (HDI) Prepopulated Responses

The response options for both the emissions per capita and HDI are prepopulated based on the country/area/region of the responding jurisdiction. The jurisdiction can change these selections should local and/or regional data be available and different from the prepopulated selection. The table below indicates the response options prepopulated based on the country/area/region. The data for HDI is sourced from the United Nations Human Development Report 2021/22 while emissions data is sourced from the Global Carbon Project and is based upon the average of national emissions from the years 2018, 2019 and 2020.

ISO Code	Country/Area/Region Name	Emissions Per Capita - Populated Response	Human Development Index (HDI) - Populated Response
AF	Afghanistan	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
AX	Åland Islands	No prepopulation possible	Very High (> 0.8)
AL	Albania	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
DZ	Algeria	3-5 metric tonnes CO2e per capita	High (0.7 - 0.8)
AS	American Samoa	No prepopulation possible	Low, Medium (< 0.7)
AD	Andorra	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
AO	Angola	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
AI	Anguilla	> 5 metric tonnes CO2e per capita	High (0.7 - 0.8)
AQ	Antarctica	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
AG	Antigua and Barbuda	> 5 metric tonnes CO2e per capita	High (0.7 - 0.8)
AR	Argentina	3-5 metric tonnes CO2e per capita	Very High (> 0.8)
AM	Armenia	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
AW	Aruba	> 5 metric tonnes CO2e per capita	High (0.7 - 0.8)
AU	Australia	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
AT	Austria	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
AZ	Azerbaijan	3-5 metric tonnes CO2e per capita	High (0.7 - 0.8)
BS	Bahamas	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
BH	Bahrain	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
BD	Bangladesh	< 3 metric tonnes CO2e per capita	Low, Medium (> 0.7)
BE	Belgium	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
BZ	Belize	< 3 metric tonnes CO2e per capita	Low, Medium (> 0.7)
BJ	Benin	< 3 metric tonnes CO2e per capita	Low, Medium (> 0.7)
BM	Bermuda	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
BT	Bhutan	< 3 metric tonnes CO2e per capita	Low, Medium (> 0.7)
BO	Bolivia (Plurinational State of)	< 3 metric tonnes CO2e per capita	Low, Medium (> 0.7)
BQ	Bonaire, Sint Eustatius and Saba	> 5 metric tonnes CO2e per capita	High (0.7 - 0.8)
BA	Bosnia & Herzegovina	> 5 metric tonnes CO2e per capita	High (0.7 - 0.8)
BW	Botswana	< 3 metric tonnes CO2e per capita	Low, Medium (> 0.7)
BV	Bouvet Island	No prepopulation possible	Low, Medium (> 0.7)
BR	Brazil	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
IO	British Indian Ocean Territory	No prepopulation possible	Low, Medium (> 0.7)
VG	British Virgin Islands	3-5 metric tonnes CO2e per capita	High (0.7 - 0.8)
BN	Brunei Darussalam	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
BG	Bulgaria	> 5 metric tonnes CO2e per capita	High (0.7 - 0.8)
BF	Burkina Faso	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
BI	Burundi	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
CV	Cabo Verde	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
KH	Cambodia	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
CM	Cameroon	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
CM	Canada	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
KY	Cayman Islands	No prepopulation possible	Very High (> 0.8)
CF	Central African Republic	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
TD	Chad	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
CL	Chile	3-5 metric tonnes CO2e per capita	Very High (> 0.8)
CN	China	> 5 metric tonnes CO2e per capita	High (0.7 - 0.8)
HK	China, Hong Kong Special Administrative Region	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
MO	China, Macao Special Administrative Region	< 3 metric tonnes CO2e per capita	Very High (> 0.8)
CX	Christmas Island	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
CC	Cocos (Keeling) Islands	No prepopulation possible	Low, Medium (< 0.7)
CO	Colombia	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
KM	Comoros	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
CG	Congo	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
CK	Cook Islands	3-5 metric tonnes CO2e per capita	Low, Medium (< 0.7)
CR	Costa Rica	> 3 metric tonnes CO2e per capita	Very High (> 0.8)
CI	Côte d'Ivoire	> 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
HR	Croatia	3-5 metric tonnes CO2e per capita	Very High (> 0.8)
CU	Cuba	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
CW	Curaçao	> 5 metric tonnes CO2e per capita	High (0.7 - 0.8)
CY	Cyprus	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
CZ	Czechia	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
KP	Democratic People's Republic of Korea	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
CD	Democratic Republic of the Congo	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
DK	Denmark	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
DJ	Djibouti	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
DM	Dominica	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
DO	Dominican Republic	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
EC	Ecuador	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
EG	Egypt	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
SV	El Salvador	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
GQ	Equatorial Guinea	> 5 metric tonnes CO2e per capita	Low, Medium (< 0.7)
ER	Eritrea	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
EE	Estonia	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
SZ	Eswatini	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
ET	Ethiopia	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
FK	Falkland Islands (Malvinas)	No prepopulation possible	Low, Medium (< 0.7)
FO	Faroe Islands	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
FJ	Fiji	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
FI	Finland	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
FF	France	3-5 metric tonnes CO2e per capita	Very High (> 0.8)
GF	France Guiana	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
PF	France Polynesia	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
TF	French Southern Territories	No prepopulation possible	Low, Medium (< 0.7)
GA	Gabon	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
GM	Gambia	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
GE	Georgia	< 3 metric tonnes CO2e per capita	Very High (> 0.8)
DE	Germany	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
GH	Ghana	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
GI	Gibraltar	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
GR	Greece	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
GL	Greenland	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
GD	Grenada	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
GP	Guadeloupe	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
GU	Guam	No prepopulation possible	High (0.7 - 0.8)
GT	Guatemala	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
GG	Guernsey	No prepopulation possible	Very High (> 0.8)
GN	Guinea	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
GW	Guinea-Bissau	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
GY	Guyana	3-5 metric tonnes CO2e per capita	High (0.7 - 0.8)
HT	Haiti	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
HM	Heard Island and McDonald Islands	No prepopulation possible	Low, Medium (< 0.7)
VA	Holy See	No prepopulation possible	Low, Medium (< 0.7)
HN	Honduras	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
HU	Hungary	> 5metric tonnes CO2e per capita	Very High (> 0.8)
IS	Iceland	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
IN	India	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
ID	Indonesia	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
IR	Iran (Islamic Republic of)	> 5 metric tonnes CO2e per capita	High (0.7 - 0.8)
IQ	Iraq	< 5 metric tonnes CO2e per capita	Low, Medium (< 0.7)
IE	Ireland	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
IM	Isle of Man	No prepopulation possible	Very High (> 0.8)
IL	Israel	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
IT	Italy	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
JM	Jamaica	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
JP	Japan	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
JE	Jersey	No prepopulation possible	Very High (> 0.8)
JO	Jordan	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
KZ	Kazakhstan	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
KE	Kenya	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
KI	Kiribati	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
KW	Kuwait	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
KG	Kyrgyzstan	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
KG	Kyrgyzstan	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
LA	Lao People's Democratic Republic	3-5 metric tonnes CO2e per capita	Low, Medium (< 0.7)
LV	Latvia	3-5 metric tonnes CO2e per capita	Very High (> 0.8)
LB	Lebanon	3-5 metric tonnes CO2e per capita	High (0.7 - 0.8)
LS	Lesotho	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
LR	Liberia	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
LY	Libya	> 5 metric tonnes CO2e per capita	High (0.7 - 0.8)
LI	Liechtenstein	3-5 metric tonnes CO2e per capita	Very High (> 0.8)
LT	Lithuania	3-5 metric tonnes CO2e per capita	Very High (> 0.8)
LU	Luxembourg	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
MG	Madagascar	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
MW	Malawi	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
MY	Malaysia	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
MV	Maldives	3-5 metric tonnes CO2e per capita	High (0.7 - 0.8)
ML	Mali	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
MT	Malta	3-5 metric tonnes CO2e per capita	Very High (> 0.8)
MH	Marshall Islands	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
MQ	Martinique	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
MR	Mauritania	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
MU	Mauritius	3-5 metric tonnes CO2e per capita	Very High (> 0.8)
YT	Mayotte	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
MX	Mexico	3-5 metric tonnes CO2e per capita	High (0.7 - 0.8)
FM	Micronesia (Federated States of)	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
MC	Monaco	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
MN	Mongolia	> 5 metric tonnes CO2e per capita	High (0.7 - 0.8)
ME	Montenegro	3-5 metric tonnes CO2e per capita	Very High (> 0.8)
MS	Montserrat	> 5 metric tonnes CO2e per capita	Low, Medium (< 0.7)
MA	Morocco	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
MZ	Mozambique	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
MM	Myanmar	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
NA	Namibia	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
NR	Nauru	> 5 metric tonnes CO2e per capita	Low, Medium (< 0.7)
NP	Nepal	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
NL	Netherlands	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
NC	New Caledonia	> 5 metric tonnes CO2e per capita	Low, Medium (< 0.7)
NZ	New Zeland	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
NI	Nicaragua	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
NE	Niger	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
NU	Niue	> 5 metric tonnes CO2e per capita	Low, Medium (< 0.7)
NF	Norfolk Island	No prepopulation possible	Low, Medium (< 0.7)
MK	North Macedonia	3-5 metric tonnes CO2e per capita	High (0.7 - 0.8)
MP	Northern Mariana Islands	No prepopulation possible	High (0.7 - 0.8)
NO	Norway	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
OM	Oman	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
PK	Pakistan	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
PW	Palau	> 5 metric tonnes CO2e per capita	High (0.7 - 0.8)
PA	Panama	< 3 metric tonnes CO2e per capita	Very High (> 0.8)
PG	Papua New Guinea	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
PY	Paraguay	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
PE	Peru	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
PH	Philippines	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
PN	Pitcairn	No prepopulation possible	Low, Medium (< 0.7)
PL	Poland	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
PT	Portugal	3-5 metric tonnes CO2e per capita	Very High (> 0.8)
PR	Puerto Rico	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
QA	Qatar	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
KR	Republic of Korea	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
MD	Republic of Moldova	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
RE	Réunion	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
RO	Romania	3-5 metric tonnes CO2e per capita	Very High (> 0.8)
RU	Russian Federation	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
RW	Rwanda	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
BL	Saint Barthélemy	No prepopulation possible	High (0.7 - 0.8)
SH	Saint Helena	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
KN	Saint Kitts and Nevis	3-5 metric tonnes CO2e per capita	High (0.7 - 0.8)
LC	Saint Lucia	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
MF	Saint Martin (French Part)	No prepopulation possible	Low, Medium (< 0.7)
PM	Saint Pierre and Miquelon	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
VC	Saint Vincent and the Grenadines	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
WS	Samoa	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
SM	San Marino	No prepopulation possible	Very High (> 0.8)
ST	Sao Tome and Principe	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
SA	Saudi Arabia	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
SN	Senegal	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
RS	Serbia	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
SC	Seychelles	> 5 metric tonnes CO2e per capita	High (0.7 - 0.8)
SL	Sierra Leone	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
SG	Singapore	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
SX	Sint Maarten (Dutch part)	> 5 metric tonnes CO2e per capita	High (0.7 - 0.8)
SK	Slovakia	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
SI	Slovenia	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
SB	Solomon Islands	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
SO	Somalia	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
ZA	South Africa	> 5 metric tonnes CO2e per capita	High (0.7 - 0.8)
GS	South Georgia and the South Sandwich Islands	No prepopulation possible	Low, Medium (< 0.7)
SS	South Sudan	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
ES	Spain	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
LK	Sri Lanka	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
PS	State of Palestine	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
SD	Sudan	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
SR	Suriname	3-5 metric tonnes CO2e per capita	High (0.7 - 0.8)
SJ	Svalbard and Jan Mayen Islands	No prepopulation possible	Low, Medium (< 0.7)
SE	Sweden	3-5 metric tonnes CO2e per capita	Very High (> 0.8)
CH	Switzerland	3-5 metric tonnes CO2e per capita	Very High (> 0.8)
SY	Syrian Arab Republic	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
TJ	Tajikistan	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
TH	Thailand	3-5 metric tonnes CO2e per capita	Very High (> 0.8)
TL	Timor-Leste	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
TG	Togo	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
TK	Tokelau	No prepopulation possible	Low, Medium (< 0.7)
TO	Tonga	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
TT	Trinidad and Tobago	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
TN	Tunisia	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
TR	Turkey	3-5 metric tonnes CO2e per capita	Very High (> 0.8)
TM	Turkmenistan	> 5 metric tonnes CO2e per capita	High (0.7 - 0.8)
TC	Turks and Caicos Islands	> 5 metric tonnes CO2e per capita	High (0.7 - 0.8)
TV	Tuvalu	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
UG	Uganda	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
UA	Ukraine	> 5 metric tonnes CO2e per capita	High (0.7 - 0.8)
AE	United Arab Emirates	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
GB	United Kingdom of Great Britain and Northern Ireland	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
TZ	United Republic of Tanzania	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
UM	United States Minor Outlying Islands	No prepopulation possible	Low, Medium (< 0.7)
US	United States of America	> 5 metric tonnes CO2e per capita	Very High (> 0.8)
VI	United States Virgin Islands	No prepopulation possible	High (0.7 - 0.8)
UY	Uruguay	< 3 metric tonnes CO2e per capita	Very High (> 0.8)
UZ	Uzbekistan	3-5 metric tonnes CO2e per capita	High (0.7 - 0.8)
VU	Vanuatu	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
VE	Venezuela (Bolivarian Republic of)	3-5 metric tonnes CO2e per capita	Low, Medium (< 0.7)
VN	Viet Nam	< 3 metric tonnes CO2e per capita	High (0.7 - 0.8)
WF	Wallis and Futuna Islands	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
EH	Western Sahara	No prepopulation possible	Low, Medium (< 0.7)
YE	Yemen	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
ZM	Zambia	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)
ZW	Zimbabwe	< 3 metric tonnes CO2e per capita	Low, Medium (< 0.7)

Section 2: Pathway Maps

The Pathways Map below outlines the questions, and where relevant the columns/rows, that are presented on each pathway.

If your jurisdiction participates in certain Projects or Initiatives, there may be additional questions and/or columns/rows presented to ensure your questionnaire aligns with their reporting requirements. More information on projects and initiatives may be found in our Frameworks, Projects and Initiatives article. Please see the 'Column/Row Modifications' in the tables below to view potential additional columns/rows and the table 'Projects and Initiatives - Additional Questions' to view potential additional questions.

Pathway 1

2026 question number	Question Text	Column/Row Modifications
1.1	What language are you submitting your response in?	N/A
1.2	Provide details of your jurisdiction in the table below.	Pathway 1: Columns 1-9 Column 10: GCoM cities only.
1.3	Provide details on land use within your jurisdiction boundary.	N/A
2.6	Identify and describe the limiting factors affecting your jurisdiction's ability to implement and achieve climate-related targets, plans and actions.	N/A
2.7	Report on your jurisdiction’s processes for monitoring, tracking progress and reporting updates to your climate-related information.	N/A
3.1	Has a climate risk and vulnerability assessment been undertaken for your jurisdiction? If not, please indicate why.	N/A
3.1.1	What language are you submitting your response in?	Pathway 1: Columns 1-6 Columns 7-8: Cities disclosing to C40; GCoM; ICLEI Ukrainian Cities; UBC Sustainable Cities Commission; EU Mission on Adaptation to Climate Change.
3.2	Provide details on the most significant climate hazards faced by your jurisdiction.	Pathway 1: Columns 1-4 Columns 5-19: Cities disclosing to C40; GCoM; ICLEI Ukrainian Cities; UBC Sustainable Cities Commission; EU Mission on Adaptation to Climate Change.
3.3	Identify and describe the most significant factors impacting on your jurisdiction’s ability to adapt to climate change and indicate how those factors either support or challenge this ability.	N/A
4.1	Does your jurisdiction have a community-wide emissions inventory to report?	N/A
4.1.1	Attach and provide information on your jurisdiction’s main community-wide greenhouse gas emissions inventory.	Pathway 1: Columns 1-12 and 6 Columns 13-15: Cities disclosing to C40; GCoM; ICLEI Ukrainian Cities; UBC Sustainable Cities Commission; NetZeroCities – Mission Cities.
4.1.1	Attach and provide information on your jurisdiction’s main community-wide greenhouse gas emissions inventory.	Pathway 1: Rows 30, 32 Rows 1-29, 31: C40; GCoMICLEI Ukrainian Cities; NetZeroCities – Mission Cities; UBC Sustainable Cities Commission.
4.1.3	Provide a breakdown of your community-wide emissions by sector.	N/A
5.1	Provide details of your jurisdiction-wide energy consumption.	Pathway 1: Columns 2-4, 6, 7 Column 1: GCoM cities only. Column 5: C40; GCoM; ICLEI Ukrainian Cities; 100% Renewable Energy Campaign; UBC Sustainable Cities Commission; NetZeroCities – Mission Cities.
5.5	Report your jurisdiction's passenger and/or freight mode share data.	Pathway 1: Columns 1-13, 24 (Passenger mode share only) Columns 14-23: C40; ICLEI Ukrainian Cities; UBC Sustainable Cities Commission; NetZeroCities – Mission Cities.
5.7	Report the following waste-related data for your jurisdiction.	Pathway 1: Row 1 (Total solid waste only) Rows 2-12: C40; ICLEI Ukrainian Cities; UBC Sustainable Cities Commission; NetZeroCities – Mission Cities.
5.8	Report on how climate change impacts health outcomes and health services in your jurisdiction.	Pathway 1: Columns 1-3, 7 Columns 4-6: ICLEI Ukrainian Cities; EU Mission on Adaptation to Climate Change.
5.10	Provide details of the household access to water, sanitation services and water consumption in your jurisdiction.	N/A
5.11	What percentage of your population is food insecure and/or lives in a food desert?	N/A
6.1	Does your jurisdiction have an adaptation goal(s) in place? If no adaptation goal is in place, please indicate the primary reason why.	N/A
6.1.1	Report your jurisdiction’s main adaptation goals.	N/A
7.1	Does your jurisdiction have an active greenhouse gas emissions reduction target(s) in place? Please include long-term and/or mid-term targets. If no active GHG emissions reduction target is in place, please indicate the primary reason why.	N/A
7.1.1	Provide details of your emissions reduction target(s). Please report both long-term and mid-term targets, if applicable.	N/A
7.1.2	If your jurisdiction has a net zero target, report any residual emissions that are expected in the target year and how you plan to address them.	N/A
8.1	Provide details of your jurisdiction's other climate-related and nature-related targets active in the reporting year.	N/A
9.1	Does your jurisdiction have a climate action plan or strategy that addresses mitigation, adaptation and/or energy?	N/A
9.1.1	Report details on the climate action plan or strategy that addresses mitigation, adaptation and/or energy-related issues in your jurisdiction.	Pathway 1: Columns 1-11, 18 Columns 12-17: C40; GCoM, ICLEI GreenClimateCities; ICLEI Ukrainian Cities; UBC Sustainable Cities Commission; EU Mission on Adaptation to Climate Change; NetZeroCities – Mission Cities.
10.1	Describe the outcomes of the high-impact adaptation and mitigation actions your jurisdiction is currently undertaking. Note that this can include those in the planning, implementation and/or post-implementation/operation phases.	Pathway 1: Columns 1-9, 21-22, 25-26 Columns 20, 23-24: C40; GCoM; 100% Renewable Energy Campaign; ICLEI Ukrainian Cities; Transformative Actions Program; UBC Sustainable Cities Commission; EU Mission on Adaptation to Climate Change. Columns 27-28: GCoM cities only.
10.2	Describe any climate-related projects within your jurisdiction for which you hope to attract financing.	N/A

Pathway 2 - Additional Questions (7) and/or Columns/Rows

Responding jurisdictions who select Pathway 2 will be presented with the questions as outlined in Pathway 1 in addition to the questions and columns/row as outlined in the table below.

2026 question number	Question Text	Column/Row Modifications
2.1	Provide information on your jurisdiction’s oversight of climate-related risks and opportunities and how these issues have impacted your jurisdiction's planning.	N/A
2.2	Report how your jurisdiction assesses the wider environmental, social, and economic opportunities and benefits of its climate action.	N/A
2.3	Report on your jurisdiction’s partnerships and engagement with other levels of government on climate-related issues.	N/A
2.4	Report your jurisdiction's most significant examples of how you collaborate across stakeholders on climate-related issues.	N/A
3.1.1	Provide details on your climate risk and vulnerability assessment.	Pathway 2: Columns 1-8 (Complete question)
3.2	Provide details on the most significant climate hazards faced by your jurisdiction.	Pathway 2: Columns 1-19 (Complete question)
4.1.1	Attach and provide information on your jurisdiction’s main community-wide greenhouse gas emissions inventory.	Pathway 2: Columns 1-6 (Complete question)
4.1.2	Provide a breakdown of your community-wide emissions.	Pathway 2: Rows 1-32 (Complete question)
5.3	How many households within the jurisdiction boundary face energy poverty? Select the threshold used for energy poverty in your jurisdiction	N/A
5.5	Report your jurisdiction's passenger and/or freight mode share data.	Pathway 2: Rows 1-24 (Complete question)
5.7	Report the following waste-related data for your jurisdiction.	Pathway 2: Rows 1-12 (Complete question)
5.8	Report on how climate change impacts health outcomes and health services in your jurisdiction.	Pathway 2: Columns 1-7 (Complete question)
9.1.1	Report details on the climate action plan or strategy that addresses mitigation, adaptation and/or energy-related issues in your jurisdiction.	Pathway 2: Columns 1-18 (Complete question)
9.2	Report details on the other environment-related plans, policies and/or strategies in your jurisdiction.	N/A
10.1	Describe the outcomes of the high-impact adaptation and mitigation actions your jurisdiction is currently undertaking. Note that this can include those in the planning and/or implementation phase.	Pathway 2: Columns 1-26 (Complete question)

Pathway 3 - Additional Questions (10)

Responding jurisdictions who select Pathway 3 will be presented with the questions as outlined in Pathway 1 and 2 in addition to the questions as outlined in the table below.

2026 question number	Question Text	Column/Row Modifications
2.5	What mechanisms are used by your jurisdiction to fund or access finance for climate-related actions?	N/A
4.2	Does your jurisdiction have a consumption-based emissions inventory to measure emissions from consumption of goods and services? The consumption-based approach captures direct and lifecycle GHG emissions of goods and services and allocates GHG emissions to the final consumers, rather than to the producers.	N/A
5.1	Report the following information regarding your jurisdiction-wide energy consumption.	Pathway 3: Columns 2-7 Column 1: GCoM cities only.
5.1.1	Report the total electricity consumption in MWh and the energy mix used for electricity consumption in your jurisdiction.	N/A
5.1.2	Report the total thermal (heating/cooling) energy consumption in MWh and the energy mix used for thermal (heating/cooling) source mix breakdown for energy consumption in your jurisdiction.	N/A
5.1.3	For each type of renewable energy within the jurisdiction boundary, report the installed capacity (MW) and annual generation (MWh).	N/A
5.9	Report the following air pollution data for the jurisdiction.	N/A
5.12	Report the sources of your jurisdiction’s water supply, volumes withdrawn per source, and the projected change.	N/A

Projects and Initiatives - Additional Questions

Responding jurisdictions who participate in certain initiatives will be presented some of the additional questions below.

2026 question number	Question Text	Column/Row Modifications
4.3	Do you have an emissions inventory for your government operations to report?	UBC Sustainable Cities Commission; ICLEI Ukrainian Cities.
4.3.1	Attach your government operations emissions inventory and report the following information regarding this inventory.	C40; Ukrainian Cities; UBC Sustainable Cities Commission.
4.3.2	Report your government operations emissions in metric tonnes CO2e.	ICLEI Ukrainian Cities; UBC Sustainable Cities Commission.
5.1.4	Report the total jurisdiction-wide annual electricity and heating and cooling consumption for each sector listed and for your government operations.	100% Renewable Energy Campaign; ICLEI Ukrainian Cities; UBC Sustainable Cities Commission.
5.2	Report the percentage of households within the jurisdiction with access to clean cooking fuels and technologies.	GCoM; 100% Renewable Energy Campaign; ICLEI Ukrainian Cities.
5.4	Report the following information on access to secure energy for your jurisdiction.	GCoM; 100% Renewable Energy Campaign; ICLEI Ukrainian Cities; UBC Sustainable Cities Commission.
5.6	Report the total emissions, fleet size and number of vehicle types for the following modes of transport.	C40; Ecomobility Alliance; ICLEI Ukrainian Cities.
2.2	Where available, please provide the following documentation relevant to your membership in the Green Climate Cities program.	ICLEI GreenClimateCities
13.1	C40 requested question: Report the total annual quantity of food that is procured (in tonnes) for government-owned and/or operated facilities (including municipal facilities, schools, hospitals, youth centers, shelters, public canteens, prisons etc.). If available, please provide a breakdown per food group.	C40
13.2	C40 requested question: In the past 12 months, how has your city advanced climate actions that address the needs of frontline and at-risk communities?	C40
13.3	C40 requested question: In the past 12 months, how has your city advanced with embedding equity into climate governance and decision-making to support inclusive climate action?	C40
13.4	C40 requested question: In the past 12 months, how has your city progressed with collecting and using disaggregated or spatial data to inform the design, targeting, and monitoring of inclusive climate action?	C40
13.5	C40 requested question: How is your city progressing in introducing and adopting climate budgeting in accordance with C40 principles and guidelines (which progress stage are you at)?	C40
13.6	C40 requested question: Identify and describe the supramunicipal policies and/or initiatives supporting your jurisdiction’s ability to implement and achieve targets, plans and actions.	C40
13.7	C40 requested question: Provide details of your jurisdiction’s spatial planning and development.	C40
13.8	C40 requested question: Please select which sector plans have actions/targets from your city’s climate action plan integrated within them.	C40
13.9	C40 requested question: Please select which of the following actions your city is currently implementing to integrate climate into policies that help drive greater city financial allocations to climate projects and businesses.	C40
13.10	C40 requested question: How is your city integrating climate into sustainable procurement policies?	C40
13.11	C40 requested question: Please highlight how climate has been integrated into your governance systems.	C40
13.12	C40 requested question: Report the kgCO₂e/m² of floor area for buildings procured by the city administration and kgCO₂e/tonne of construction materials for infrastructure projects procured by the city administration. If you only track one of these, please provide it.	C40

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Keywords: CDP, questionnaire, CDP-ICLEI Track, Cities, pathway, pathways, pathways map, recommendation, methodology, attribute, population, emissions per capita, human development index, index value geometric mean, prepoulated responses, projects, initiatives, addtional questions, columns, rows.

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